{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with Geospatial Hydrologic Data Using Web Services"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Dam Impact on streamflow: Python*\n",
    "\n",
    "| Author | Affiliation |\n",
    "| ------- | ----------- |\n",
    "| Taher Chegini | University of Houston |\n",
    "| Mike Johnson | [Lynker](https://www.lynker.com/solutions/water-environmental-resources/) |\n",
    "| Marc Weber |  US Environmental Protection Agency |"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This is the second part of the \"Working with Geospatial Hydrologic Data Using Web Services\" workshop. In the [first part](https://mikejohnson51.github.io/IOW2022_R/slides.html), we covered some basic concepts related to geospatial analysis. Although R is used in the first part, the introduced concepts are applicable to Python as well. So, in this tutorial, we won't repeat the same concepts, instead we focus on equivalent tools in Python and provide an in-depth hands-on example geospatial analysis workflow."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geospatial Tools in Python\n",
    "\n",
    "This is non-exhaustive list of geospatial tools that we directly/indirectly use in this tutorial:\n",
    "\n",
    "* [PyNHD](https://docs.hyriver.io/en/latest/readme/pynhd.html): Navigate and subset NHDPlus (MR and HR) dataset using web services.\n",
    "* [Py3DEP](https://docs.hyriver.io/en/latest/readme/py3dep.html): Access topographic data through National Map's 3DEP web service.\n",
    "* [PyGeoHydro](https://docs.hyriver.io/en/latest/readme/pygeohydro.html): Access NWIS, NID, WQP, HCDN 2009, NLCD, CAMELS, and SSEBop databases.\n",
    "* [PyDaymet](https://docs.hyriver.io/en/latest/readme/pydaymet.html): Access Daymet for daily climate data both single pixel and gridded.\n",
    "* [xarray](https://xarray.pydata.org/en/stable/): An open-source project and Python package that makes working with labeled multi-dimensional arrays simple, efficient, and fun!\n",
    "* [rioxarray](https://corteva.github.io/rioxarray/stable/index.html): Rasterio xarray extension.\n",
    "* [GeoPandas](https://geopandas.org/en/stable/): An open-source project to make working with geospatial data in python easier.\n",
    "* [Folium](https://python-visualization.github.io/folium/): Makes it easy to visualize data that's been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations and passing rich vector/raster/HTML visualizations as markers on the map.\n",
    "\n",
    "You can find more geospatial tools at [Awesome Geospatial](https://github.com/sacridini/Awesome-Geospatial) repository."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "The primary goal of this hands-on tutorial is to introduce a handful of geospatial web services for conducting scientific studies. For this purpose, we're going to take a look at the impact of building dams on their downstream streamflow. Here are some example peer-reviewed papers on this topic.\n",
    "\n",
    "- [Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates](https://doi.org/10.5194/hess-17-3189-2013)\n",
    "- [Nonlinear Filtering Effects of Reservoirs on Flood Frequency Curves at the Regional Scale](https://doi.org/10.1002/2017WR020871)\n",
    "\n",
    "We set the area of interest (AOI) to Texas and study dams that have been built in the 1995-2005 period.\n",
    "\n",
    "Workflow:\n",
    "\n",
    "- Get gauge stations within Texas that have enough streamflow data\n",
    "- Get dams within Texas that have been built have been built between 1995-2005\n",
    "- Filter out stations that don't have any dams in their upstream up to 10 km\n",
    "- Get streamflow data for the remaining stations\n",
    "- Visually inspect the streamflow data for dam impacts\n",
    "- Check land use/land cover type around the dams"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Streamflow Gauges\n",
    "\n",
    "First, we use the National Water Information System (NWIS) service to check streamflow data availability in our AOI and 10 years before and after the period of our study, i.e., the 1985-2015 period.\n",
    "\n",
    "Let's start by importing the required libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import pygeohydro as gh\n",
    "import pygeoutils as geoutils\n",
    "from pygeohydro import NID, NWIS\n",
    "from pynhd import NLDI, WaterData, ZeroMatchedError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "start = \"1985-01-01\"\n",
    "end = \"2015-01-01\"\n",
    "texas = gh.helpers.get_us_states(\"TX\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
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vinLIm14C//d/sO++xOImhLxeWPgpxG2YPBlC229pguuRR0wQPv44dfVmAG3jobwsTkF+okCPB/bay4Tb8cezvNq8ccjKNp3KQvvsBrfcsvFPvLnZDPvffNNMPydEY+DzAgcfbDqY/fWvxOImX7OyTMOzttY1zVkysz0U5MUJh81z9Xkxw+C2NmJxM1lQXw+dnVAXL+H6iXfy88XfxLLM+wmfjzXPdeut4brr1m51Kl9JgSzJMWcOtUu7eb+risurHnC6GhnDjqy/jUOa/oBlmSwpKQaP1zQSaWkx4XPy5q9jW2vWtM5pfZT9m++h1VfE69n7cGrtjykvh/w84NBDsf/2NxobzKKx/HxYvdp8XWkpFBYAgQB9nRH8fujvh2VL4ancoynuX8WO/S8xeRLUrAavB0rLwJOfB62tLF4MfREoLjaDa2vGDPjOd9a9Mnxd7r4bfvWrte6KxU0zlYDftPrOzISSUvNeoLvbLCZftMgsNAfzpuHe0osJxHuZ1/BrwEzhe71mMO/1msd2dZk3LLG4uf39SQtYmrElW3W9xnerzwXM9fjycvM1Hk/iksF115mpf1kvBbIkxy67UFsd4d3uaVxZdb/T1chYZtts2f0mu7f+nZ3bnzJboSwzS/xpeHt+XHn7WmH8eQMBM2kShBMdwNo7zDkXQ3k8JkSLCs3tpmaz9bmjHaqtSn446U8U9tdy1fJvke3ppj+xLXriRBOK7e0m2C3LBHte7pDrsKedBvPnf/XzPOMMePttOjpNULa2mXq7us2UeXzIK7vPC0XFZnt2MGhO5Xqi4EQeKzqFLm/u4O/bjK7/Mqf1UXJizUzs/ZS4Za4j93iyqA1UsnXXq7yZvRf3ll601t7wzFg7hzXcwdyWPwPmOeXkmBl6rwe48UYzMyBfSYEsybHjjqxeGePt3s25ZvI9TlcjAkB+fz3H1v8Cjx3n0aLTqA5NX+/XBOPd3LZwH4JWhHAGxC0Pvd1x4nE4Z/rzZEdbuHHJEZSVJaZnKyqwa2pobjbXU/v64OIpj9IYqACgom8pe7Y+TG1gInu3PMiEyGKwzUj91Zy5AOzU/gx+vxmZ5ueZkT1z55rh+BFHmGl324aPPjI/YOutYZdd6Ok1bxT6+7/4PP5QdiXvZ+2MP97Ht1Zfx+Tej/DbEVYHJvF0wbE8n3f4FxesDZM/3se4viVcu+zEwTca2dmJkfKjj5p3HGpv+qUUyDJ8tg077EDNavhf39b8cNKfnK5IZFgyYp3MbfkL4/qWkBdtYHloc/5adNZgh7EFH88iKwsqJwBeL/FobPC68nUTf89n4XVvncqJNrNz+1NELT+fhGeyKlAFlkVppJqbFh8OmAAbP85cjvZ4wF9aYMJswQKzgAygpATq64lGYeFn8E7Wbvyx7HJafMVfGrKhWBe9nnDSQ3hdiiOr+Pnib+LxwJQpiUAearfdzAI2bZNaiwJZhi8ahZ12YlUNvBHZjusn3eV0RSIj6pIVFzCz52WmVJmFTADLl8PT/gO5o+KHm/x9B69/Y0bQAb8JNOugA+Gll2hZ3kZri8ljv9/so25rg/OnPkmrvzgpzy1ZxvUt4SdL5uH1mgVyGRnmTQaY1dheD2Yb1Si8QUgV2qMiwzfQM9hm8JqTSDr7a9HZbLvsZerqoLzCHCXZ2wfNGaXD+r4PlcxnccbWVESW4Y/3cXjj7ayqgXGPP44FdHaYbVTLq9d8zTtZu7kujMEcJnLJlL/z88XfpKYGMhILxDIyzJuNzDBmi5fXC2edBYcfbubqx3BAa4Qsw9fVBbvvzsqV8Ep8R26s/I3TFYmMuDNrvs/X2x4f7J/d5C3m6sn30u4rSNrPmNX+POevuozycpNVixfDZ97NeaD42/jtCIsztk7qzxsJhf2r+W71uZRF1ryLKCiAjJA51Ss2sDVrwCOPjNmtUgpkGb62Nth7b1ashJfju/CzyludrkhkVIzrW8wO7c/T5c3h1Zy5dPjy1/9FG+maZaeyef/7YJt9xV91jdr1bJsFn+yABQSCa7ZWhUImlEMZiQNC5s41Xc9OPdUc/uH58lXx6USBLMPX1AT77kv1CniROdwy4WanKxJJG7nRJg5rMIu5ni04mlXB1G5L6bWjnL76Or7e9jhgwri310xlBwNQVm5CORY3OWxddhnMm+dw1aNDgSzDV18PBxxAdTX827MXt46/0emKRMTtbJt9W+5nr5aHKY8sAxKXkDGj5/Y2mDQ5MWJ++GGorDSXxz7+2LT+rK42LcNKS+GYY8zcd1MTbLVVyl6HViDL8NXUwCGHsLwanvPO5bZxP3a6IhFJIV47yvVLj2Nc35LB+7KzTdYG1nHwVNw2Qd0fTXQFG5q/hx0GV1458kWPAK2yluFL9OCzbciLNjlcjIikmpjl4/KqB/DH+9im61XOrrkaOrrp7DRbpgauN4OZ3u7sNE1Z6utNW9TiItPWNBCAnEceMdegh3tIhwMUyDJ8A22CbAjZ3c7WIiIpq98T5K3s3Tlzsxco71vGT5ccSX29afvZ1mams3t7TQh3d5sdl/G4aRXaH4WsTNM+1PfKKykZyGNj6ZqMrMTZqrYNy0ObOVyMiKSD1cFJXDT1HzTZBaxebQK4q9ss9mqwi2iPhnk1cx9ezdmX1ZZpU9rZZT6fqteQNUKW4evtBcxmf68ddbYWEUkbTf4yvj39mcHXla86b3169ztctfxb5kY0NV+HFMgyfIl3o7YNJZGV63mwiMjG+aogHmARX3OjKTXXsmjKWoZvSOvMpRkbeI6riEgSZcS61tzo6HCukGFQIMvwJQLZtiFqrWOPgojICLOHXjeeOtW5QoZBgSzDN7DtCYihwyVEZPRFrNCaGynaajM1qxZ3GTJC3pBrPSIiyeYZeg35gw+cK2QYFMgyfEOuISuQRcQJPjuy5kZVavb7ViDL8GmELCIOiw+9XBYMOlfIMCiQZfgGAhmIKpBFxAERT2j9D3I5BbIM39ARsra2i4jTUrRTlwJZhq+21vyqc8NERDaZAlmGLzMTG5PHFYlzTUVERlMg3rvmRmenc4UMgwJZhu/jjxk4VXtxxtbO1iIiY9Ja15A/+si5QoZBgSzDN3Xq4HR1Zqzd2VpEZEzKiA0ZFeflOVbHcCiQJSkGLh+3+QocrUNExqa1tlxOn+5cIcOgQJbhi8UGp6z7rdTc/yciqS3iSf3XHgWyDN+QQI7rr5SIyCbRq6cMXzQ6OGcdt3S4hIg4ITX3Hg+lQJbhi0YHryGrdaaIyKZRIMvwLV26ZoSsv1Ii4ojU70ykV08Zvvz8wQ/zoo0OFiIiY1VwaGMQnYcsY1Z29uCH7dr2JCIO6BvaGKS727lChkGBLEkVQ4u6RGT0RawhgfzSS84VMgwKZEmK1L96IyKpzGtHsQci7etfd7aYTaRAlqSyU/TYMxFJbV5iWMTNjVBqno2sQBYRkTQwZJ4uRQcGCmQREUl5lj0kkO3UvIimQJakGHg/aqXoPwQRSW1Bu2fNjVjMuUKGQYEsSaVryCLihLVWWa9Y4Vwhw6BAlqQYGBdrhCwiTohbQ+Js0iTH6hgOBbIM35AQ1ghZRGTTKJBFRCS9pOhMnQJZhs+ytKhLRNwjRWfqFMgiIpJeUnRgoECWpEjNv/4iki7iQ/vov/GGc4UMgwJZkmJggkiLukTECdbQYcGMGc4VMgwKZEkqXUMWESd47CHNQNTLWkRExAVSdKZOgSxJpSlrEXGCPbQxSIrO1CmQJak0ZS0ijkvR1yEFsoiIiAsokEVERFxAgSwiIinPZsj6lRRdy6JAFhGRlLfWPuTaWucKGQYFsoiIpDx/vG/NjdZWx+oYDgWyiIikvMEtlzZQVORoLZtKgSwiIikvagXW3CgocK6QYVAgS1Kk5q4/EUkXay3qSlEKZEkqdeoSESesFchqDCJj2cA/BXXqEhEnKJBFYK09f5Ymr0XEAWu99qToTJ0CWYZPgSwiDkuH1x4FsoiIpLw4Ou1JxBjcApiaU0Uikto0ZS0iIuICHuJrbni9zhUyDD5Hf/rLL8PDD0NNDRQWmmmGgf/eeMM8ZostIBRa+3MD/8Xj6/6+Ho95hzTwLmng46G3P//rl933VY8dqGN9LAuCQVi6FHJyIDNz3Y/5/Lu6oT9n6OfW9e7vy+pYX31DP29/yTvMgftbW03tfv+ax9g2vPLKmi9Lg+s4IpJ61pqde+wxOP9854rZRM4F8vvvwwUX0NsHkT6Az9Z+KR+48erHX7h/nY8DPj9ban3JjS/E2TryzVrP5zY2djyWeZ8Q/4r3EV/xI9f/4I0oaFMj0/Z4seKxdX4uGk38avk38buLiGw6KzFCjsWBlhYz4Nt1V2eL2kjOBfKLLxKLw8qVEIls+rexPzfrbrGetJNhWHcYD1icsTWLM7YepVpERNaoCUwGYPkymDzVQ+i3v4WddzYjoRRh2bZDy9E+/RSOP57aOmhuhnOmP08Mb6LTk4U99L913Lfei/a2PTh9OvBViU+s1bxi6OfMr4mPbXsdn4Mvji+tge/6FdO1NoF4HxnxLuJ46PDlr/Mxa33XL/ljWd+U8MDv17q+/su7aG34mHxgWmhddXR5slN2MYWIpL6p3e9xzfLTyAxD5cTEK9s998Dmmztd2gZxboT83HPAmunbXk+YmJXEcixrMDy+EB0OZEaXF1pG/8eKiIwZi8IzuGX8zVy08mIaG82hT9YJJ5h1SC+95HR56+XcWP6tt+jtg7Y2czNGaq6KExER93g7azeWhLaioQEWL4aeHqC3F+6/3+nS1su5QM7OJhhcM71fEK13rBQREUkTlsUPJt/NyuAUIhFYsRL6o8DPf+50ZevlXCCfdx4WMK7CzCD/YtGB7Nb6mGPliIhI+rii6i8sDW1JNApdXYk7u7sdrWl9nAvkqirYfHMys8w8f8APZ6z+IXu2POxYSSIikj6+P3kBAO1tZsspc+ZAf7+zRX0F51ZZg9m8euml8OKL2EB1tXkn0+ivYGloC54qOI7Pwts6Vp6IiKS2bzb+niMafkt2NkwYD2y7Lfz+906XtU7OBvKA6mo4/HAiEVi2zDS1ikTMvP+rOfvyx7LL6fFmOV2liIikoAUfz8ICpk4Dvw94802nS1ond+yYrqyEP/+ZQEURVVNgQqX5jRtXAbt0Ps3xdTen7OkdIiLirOfyj8TyDOmSGPvqJkdOcccIeUBjIzz0EAQCZph8yy00NkF9PdxVfg0v5B3idIUiIpJiwrEOfrdwT/LyoKwMPBddCCec4HRZX+Ds4RKfV1QEZ5+95nZ3N0W3305PD+zffA8v5R5I3NJ+ZRER2XA+2yzk6utLNBNc1wE/LuCOKesvc8YZsM02FBbAuL4l7N76d6crEhGRFFMWqQaguCjRqPGggxyt58u4O5ABzjmHcBjy8+DIht/iiw/jJAoRERlzdm5/ClhzKt3gEbIu4/5Anj0b9tiD/HzIjrWwXaf7+5GKiIh77N3yEMEgZOc4XclXc38gA+y/P6GQ6Q8+r+HXFEVqnK5IRERSxMu5BxDtH7K42qXNQVIjkOfMgawsykphgl3NuTVXOF2RiIikiMcLTiIWh5aBI/d23hlmzTLHALtIagSy3w+33EJ4fAElxTCl5wOqej50uioREUkBK0NTAWhqgro6aG5OtNI8/nhzwyVSI5ABtt8ejjmG7ByzTfmEup8TjnU4XZWIiKSAkzd/nefyj6SpGWrrTNsLYMhKL+elTiADHHssnlCQggKY2vMetyw6iIq+pU5XJSIiLmdbHu4u+x42FpmZUFyc+MRbbzla11CpFcgZGXDeeRTkw7RpkOvr4oYlR3H9kuMo7F/tdHUiIuJyL+QdQlcXLFkCkX7gqqucLmmQu1pnbqiFC+Hyy4ktXU5nB9Q3mEVz/VYAvx3h5xN+ybtZuzpdpYiIuNA1y05las/7TKkyXZr5619h4kSny0rRQAbo7IQFC+CRR+ivb6GzC2JR6OwyZ1C/nHsAd5VfTcxy5wZwERFxRlnfcm5ccgR+H0yuAp8XuPtu2GorR+tKrSnrobKyYP58uOce/N88gPyvb01RZZiJlaY92tfbnmAPtdoUEZHPqQ1O5ImCE+mPDllx/cYbTpflssMlNkVpKVx7rfk4Hsc6/XSK33+ftnY4ufYGGvwVvJe1i7M1ioiIq2TG2wHIywOPBey5p6P1QCqPkNfF44Fbb4VgkJISCGfAd1acz8m1P9V5yiIiMmhKzweEw0PaWmdnO1oPpFsgg/lNvfxycrJh3DiztH3vlgeZ0/aY05WJiIhLfBL+Gt3d0FCfuGPuXGhrc7Sm9AtkMEdrPfoo/h1nUlwEuTlwfN3NjOtb4nRlIiLiAveUXsIHmTvS2ATLqxN3/vCHjtaUnoEMUFEBd9wBc+dSVg55/k4uXHkJBf11TlcmIiIOi1tebpzwawB6e6GvD3jhBbNNxyHpG8gDrroK72bTGD8exsVWcO3SE8mJuqd3qYiIOMSyuLP8+8RiiSYhYA4z+sUvHCkn/QM5HIaf/pRgAAqLICfWzA1LjmJ69ztOVyYiIg77X/YegGku1dIK7R3APfc4Ukv6BzJAZSXMm0d+PkydAiWBNq5a/i3OXnU1E3vddfyWiIiMnm5vNosyZlBXC6tXg8/BzcCp26lrY/X1wd//DvfeS7R6Fa2t0NoKkQjcXvFDXs490OkKRUTEAb54hNs+24dQvJsJ4yG7LBP+859Rr2NsjJDBNCydNw/uvhvfCcdSVOZn0kTIzISzar7PLm1POl2hiIg4IOoJEIp34/ebq5x0dTnSu2LsBPKAvDy45BK49158pYVUVpounCfU/YxgvMfp6kRExAGtviKi/dDcAjaYGdVRNvYCeUBVFTz1FNb06ZSWQFasje06X3S6KhERccBvxv0YG2hvT9xx/fWjXsPYDWQAy4J99sHvNxfyj6m/Vecqi4iMMVnRVi6r/jYey2RBNAp87WujXsfYDmSAb3wDjweKiqAkVsstiw7msIY7nK5KRERGybjIEvx2hPIKsynH72PNoUWjSIE8YQJccgkF+WYWOzMTDmu8g/2a7nW6MhERGQWN/grAtLKORhN3FhePeh0KZIBjj4U//AG/H8rKIBCA4+pv4YrlZ2LZcaerExGREdTkL2NxxtZ0dkJtbeLOzs5Rr0OBPGDGDPjTnwgGYPJkyM6Czbvf4u5PZuvoRhGRdGbbTOn5AJ/XDMoACIVGvQwF8lBbbw2PPYbXA+MnQElixuKnS47SSFlEJE3lxFoAKChMdOo68UQzVTrKFMifV14Or72GBWTngNcD5ZFl3P3JbK5YfhbZ0RanKxQRkSTq8mYD0NsDFsD++ztShwJ5XbxeOOUUggGYvhlUlJu7tuz5H7/57Bss+HgW56+8TFPZIiJpwEq8lkdjiTveesuROhTIX+bcc+H738fCNPeaONEshw8GISMDZnU8z4JPdqCsb7nTlYqIyDBcu+xEMyuanbhjxx0dqUOB/GUsCw4+GN58E/bbj1DQ9DitqoLyMiguMqPmG5ccwfxVVzhdrYiIbIKp3e8xvm8xgSAUFCTunDzZkVrGzmlPyfDZZ/Dzn8Obb2IDnR3Q3Axd3bAstAXXTP4/pysUEZGN8MOlJ1HV9xETJ0I4A3jqKdMpygEK5E1h27DTThCLYQNLl0Jvr/nUbRU/4vWcfYhbXkdLFBGR9Vvw8Sy8Hpg61cx68uabjtWiKetNYVnw2mvw5JNYmOvLmWHzqfk1V3LDknla8CUi4nJbdr0BQCgDPF6GzFk7Q4E8HMXFcNttZt/yeHPZoaQYyiLL2aflQaerExGRL1EaqeZ71efg95sZagvgyScdrUmBPFyzZ8P99+OdNIGMkPmD9XrhpLobmdj7qdPViYjIOpxceyNerxlIZYYx64O8zl5qVCAnw7Rp8Mgj8Kc/AWZbFMB1S49nh/bnnKtLRES+IL+/nq27XiWcAT4vcPbZsPvuTpelQE6qLbeE7GwmTIBJk8ye5fNWfRdfPOJ0ZSIiAlh2nMtWfBuPZ0h3zJkzHa1pgAI5mTwe+PvfsaZOJZxhunACHN3wa2frEhERAKb3vMu4viWUlkJpaeLOLbd0tKYBCuRky8mBP/8ZNt+cjAzzDmzf5vucrkpERIAd25/FwjR6AuAf/3DkZKd1USCPlPPPxwJyc8zN0ki1o+WIiAi8nr03NlBXl7jjrrucLGctCuSRMns2AJlZ5mZVz0cOFiMiIgCfZH4NgPjAibqvvupcMZ+jQB5Jm202uIp+dsc/na1FREQG9fZCLA7U1jpdyiAF8kiaMAG/32xt+1rHv52uRkRkzJvW/S4Afn9ilOzw3uOhFMgjaYst8Fhr9iVP1rS1iIhjLDvO1ctPx+OBCePB7wPuvNPpsgYpkEfSjBmAWcDn9cIPl52kHtciIg4piNYDZrtTIABcfPHg67QbKJBH0nbbwSGHUFK8pmf5nq2POFqSiMhYdWzdL4BEdy6A445zrJZ1USCPJMuCq64CzPanQABOrf0xMzpfcbgwEZGxZ0VoGgDxgYnK445z1aylAnmkeTxw550EAjBhggnl76w431V/CURExoLHC04EoKEeenrBXrgQHnTPyXwK5NGw/fZw2WUEA5CV2Jd8/qrvOluTiMgYE/UEWFB6GZF+WL48ceeNNzpa01AK5NFy+OGAOUK5qBBmdTzP1p3u2ZAuIjIW/LNgnvnATvznIgrk0eLzwTPP4PVAUTF4LDin5mqnqxIRGZMywoDldBVrUyCPpoICuPZaPBZkZkJ2rEXXkkVEnDDw0ltc7GgZQymQR9v++wOQnTh0IjPe4WAxIiJjU3dPolNXQ4PTpQxSII+2REfzWMzc9NkRB4sRERl7VgWrwDb9rN1EgTzaLHPRYiCQo5bfwWJERMYWr93PuL4lWB4IBp2uZm0K5NEWMSNifyKH86KNDhYjIjK27NPyEGAuHfu8wIUXOlrPUArk0ZbYhN7ebm7WBiodLEZEZGz5OGzOQ+7phmgMqKlxtqAhFMijrb8fWDNlHdOUtYjIqPDFI5xZ8wMsC0rLEiPknXZyuqxBCuTRtscegNn2BOCxY87VIiIyVtg2V1SfTWXfQsZVJI5e/NGPYM4cpysbpEAebVVVwJrFBPs13+dgMSIiY8PWXa8xtec9xo+DnBzgmmtg332dLmstCmSHZGSYJjHH1P/S6VJERNLeN1oeICOU6AFxwQVwyCFOl/QFCmSHeCzXtVEVEUlLXjvKtJ53ycwCKycHjj/e6ZLWSYHshN12w+eHvDxzc1b7846W43ZH1/+KBR/PYsHHs7ht4d58s/H3WHbc6bJEJEXs0foIWbE2M1U9c6Y5FteFLNtWM+VRF4/D7NnE4rB0qdmafPpmL9PvcdkudRc4rOEODmu8g4wQBEPQ1ram/fen4e35XcW1NPnLnS1SRFzJa0c5qOluvtl4F8V5/ZSXAX/4A8yY4XRp6+TOtwnpzuOBv/4VrwdKik3zrt8t3NPpqlxp3+b7yc2BSZOgvByqJkNhIQT8sHXkbW5ZdDDBeDdgtjRM7P2Ei1ZczB4tj5gV7LZNZe9C9m55iBmdr3zpYR6+eIQd25+hsnfhKD47ERkpXrufi1ZczJENv6W0oJ/SUmDePNeGMYDP6QLGrIkTAcjKhkAA7L4IE3o/Y0VomsOFOScz1s7Mjv8wvm8xtYFKGvwVhOMd5OQkOo7OnUvwmWcoLYGSEmhvg1U1cOena29b8HhgZucLnFb7o3X+nJ9NuJWPwrOIegKDP/fK5Wcyvm8R/VaAvxd9i3Csg//m7svy0OYj/bRFZATMaX2MbbteYUIlZGV74JhjzGIuF9OUtZOWLIF584hEYPESM3g7aYs3na5q1O3Q/hxH1/+Kkv6VX/icx4Lpm4Hn3Plw2mnmzvffh1NPBcyJLW1t0NcLcRsK8sEfgGi/uT8YMm94+vqgp8dcHoitY+u3xwMTJkB1tflz8HlNF59GfwV3l32Xd7N2HcnfAhFJsuPrbuagjvuYOhWsykr485/Ni4GLaYTspKoqOPZYAvffT0E+NDVDYX8tTf4ypysbcYc23Mm+LfeTGTM9RAMB6LdMoOblm4Zm3d0mKD0WMG3IzME228Cbb8LLLxO+4ALCGev+GTm5a58/HomA1wedHdDZaQK8t8f8PI/HbEUL+M3tQABWr4YJ3hrOrPk+507/54j9XohI8r2TtSv7Nt/HyhUwnmqs3/0Ozj/f6bK+kkbIbjBrFp2dUL3C3Ez3UfLE3k+4bukJhDMg0m+uCWdlmVFtOHPtEAXMBeQHHlj3ykjbNsPaDz80w+Cvf910jV+1Cl54AXbfHUpL4f/+z4ysFy+GlWtG4vH4ur9tLG5G0itXQG8fnLT5G4MndYlIaji27hcc0HwPEydCOMsDjzwC48Y5XdaXUiC7waxZ2MCiRWZkmO6BfOXyM9iy922mTU+MfoeaPx9OPNEch9XZCe+9Z0bE2dnJKyASgXfeMeFcVwd77WUWenz0ETQ1mdH4b34DTz5JcwvU1sLdZd/lufyjkleDiIy4zFgbVy/7FuP7l1I1BQK7zjb/tl365lqB7AbPPANXXEHNamhthfOmPU2br9DpqkaGbbPgkx3IzjLXbDn+eDjyyMQNl/nZz+DPf6a6Gjq74F95h/No0anaZiWSQoLxbm5YMo9JwVrzMnPvvbDZZk6XtU4KZDfo6YHddqO7G5YvNx28Lq/6C6uCU5yuLOkuWnEx23e+QHllgPzMCDz9tJmzdqNIBHbZhcZGM23d0w39UTNafj7vCGxLuwZF3KQoUsNmPW/jHXJoj43F1zr+zde6/sNmm4Hne9+Fo9w526VFXW6QkQEVFYRraiguMbOmP1lyNBdPeZTGQIXT1SVNRd9Stu98geIiTBife657wxjMyq6DDqLwsX9gWdDcAo0NcErtT8mMdfBo0WlOVygy5gXivcxu/ydz2h5j8+7/fenjbMwyk4yPPx694jaSAtkt/vY3mD2bokLIDMOKFXDz4kO4efwtvJO9m9PVJcV1S03/2IGTrga2LrnaZZdhZWfD/ffT0WHOUG1pgcm9HzldmciYlh1t4RstD7BPywNkxdrIzIS8CtPbYehCTds2k5ArV0JvL2R88olzRa+HAtktPB544w245RYy7ruPqiqz7ebilRfx63E38HrOPk5XOCw50Wb8doSiIsjMwlw3TgXhMBx7LNx/Pz6fGTT7fDC1+32nKxMZk8b1Leaq5WeQGWvHY5kzAQoKEluMKyvNkYolJYOPt1avJvP++5mW0WMa9WVlOVX6eukashs1N8N3v4v99tss+sxctwTo9mRzU+WvWJyxtbP1bYI7P92NYLyHqioIBYEXXzRT9anAts2fx/PPY2G2p3V2wm8rrueN7L0GO36JyAixbTbreYcDm+5mu86X8HkhvwDy88Hn98DcuaYt5jbbrHsFdWsrPP+8GSrPnWu2RrqQAtmt2trg2GOJ1dazejVEo6YbVSwOvZ4wF039B13eHKer3CAD+46Lisy/A2u//eD6650ua+PEYvCtbxF7932WLjFNRaJRWBmcwpWT79cCL5ER4I/3sXP70+zV8leqej8kGDTLTnJywJMZhkMPheOOg7L0aKakQHazmhq44QZ45RXAhEBrK9TXmY8vnPo4zf5SZ2vcAAMnNg2Ojl9/3bXHn32lzz6Dk082q68xncSWLTefei7/KP6VdxjVoekOFiiSHrKjLezT8iD7tDxIdqyFrEwzIs7KAis/H7bbDq6+2iRzGlEgu51tm2vLzz8PDz0EQEenWfT1j8JTeKDk2w4XuH4LPp6F1wtTqsC3+67wy186XdKmW7ECPv7YLMJ7/XXqG0wwR/pM7+tn8o/hnrLvOF2lSErKjTZxUNPd7NXyEEEi5OZB4cD14aoqOOUUM+XsS8/lTwrkVDNrFtEoLF1munqdPf1fdHuT2MUqySw7zt2fzKawwHSw5Je/hF3T5KCGyy+HZ58FzPumVTXQ1BHgvGlPu/rPRMRtcqLNHNR0N3u3PETI6qOgwIyIfX4P7LOPmZreYQfXdthKFgVyqqmuhsMPp6cXli41d50z/Tm6vLnO1vUlgvEe7vx0N8rKzMERPPOMWRKZLlpazFT2/PlE+mHxInio+Gz+XvQtpysTcT2vHeXgxj9ycNOfCCaCuLAAvOEgHHaY6eRXPnY646XghbwxrrISLryQUGhNrv124d7s1fJXZ+v6Elt0mb7c/f2JO956y7liRkJ+PsyeDT/9KQG/OWHqiIbfsVXXa05XJuJ6RzbcxhGNt1NW0Me0qVAyLoD3xOPg0UfhO98ZU2EMGiGnJtuGHXbAxqzib2w023DeyN6bX427wTXTOju1Pc38miuxLJg6Ffw+zAlM4bDTpY2M+fPpf+V1li0zb0BWBau4ZfzN1AfGO12ZiCudVXMNu3c9QVWVOYOcp56CoiKny3KMRsipyLLg9dexwmHCGTB+POTlwg4dz/HDZSezfccLZEdbnK6SndufJhSCSRMTazCuuSZ9wxjgssvwZ2cwdSpUVEBl/xJ+tvhQdmp72unKRFzpzyUXEI1CezvmlLUxHMagTl2py+Mxo832djz77Ud5RYRQBvgaP+KilRev9dAPM2fzVMFxfBL+Gn2e0WvGsX3nC2TkJ/p/XHEFHHLIqP1sR0yaBE8/jXX99eQ98wwZGWbn2vyaK+n3BPlf9h5OVyjiCrnRJnZqf5q8aCMAoRBrddcaqzRlnQ5sGxYsgLvuwu7pobvLbJXt6oKeXuiL+fHEzUXcf+Udzh/LLh/xae0pPR/w/WWnrFnM9WZ6n/H8BYsWwUknYUcig93WloU2597Si/k0PNPp6kQcUxJZyU+WzCNABNs2yzDKy4Bbb4VddnG6PEcpkNNJZyf88Y/w3HOmkzrmhBOAzg5oaTUPeargeO4rvWhESzmo8U/Ma/g106clpqtdfAbpiGlshP32IxozJ3i1tZnuXvOn/ZNOX57T1YmMuvK+Zfx0yZEEAjBxopno83qAY44xi7jGOAVyuurvh//+F159FV56CWpq6IvAsmWmC+SPJt7Jp+HtR+zHz191BTu1P0MwaP7h+XaYCXfcMWI/z7WWL4drr4V336W3F5YsNZcQflp5m9OViYyaUKyLwxrvZN/m+wkFYkwYnzj17cQTYbfdYKZmjUCBPHb89rfE7/o9/f2wfJnpKvXP/Hn8tfgs+q0gEU8oKT/m0IY7ObzxdsBcOw6HobgIPOecBWeckZSfkZLuvhv7V7+itt5DS1OcM6f/h15vptNViYws22Z2x3OcWHcT+fEmigqhoBA8Pi88+KDZximDFMhjRSRi3o0uXkxXl5lN7e5eM6UN0OIr4eYJN7M8tPkm/YjtO17gopUXk5cHdhyKiiEYAHbfHX784yEHIY9Bia1qnV2mt8vDRWfxt+Ix/AZF0l5mrJ3TVv+IHTqeIzvbnP/gDwdMP/iTT06s5JKhFMhjzZNPmqbsQL8nSFt9H7GY2c/cFzHT2T+bcCvvZW384opffrY/hfEGpk8Hz8CasSuvNB13BM45h8grb7BqpVls95PK3/Fx5iynqxJJuqnd73FuzRWUxGspL4ecbGDOHHOduKLC6fJcS4E8FrW3wz/+ATffvNbd/VFYssSE8g8m3c2SjK026Nv5431cvfx0JvV+QnGxmaLm0kth//3T7jSWYampgUMOob/fnBLV3w+PFp7GQyXzna5MJClyo42cXHsjX+v4N+FQnHHjIZCfZQYBe+3lmqZFbqVAHsts2/wDqa6G22+Hp58223OWmnC+avJ9G3Sc4IKPzSgvMxMqJyT+zY21bU4bavVqOOss4qtqaGqChga4vOoBVgWrnK5MZJOFYx0c0fA79mh9hKAVoajInFtszZgBP/lJ4mQZWR8Fsqzx6qvw7W/T2QWrVpmR8uOFJxHDR9Ty83TBsfR4s9b6kuPqbmG/5nspLzP7CYH0O0Ai2bq64De/If6XB1j4Kfyl6FweKzrV6apENtklKy5gZvfLFBSaf/reUADmzYPzzgOv1+nyUoY6dckaO+0E3/gGmc8+y6RJZovUgU0LBq8HH954+xdOltq8+39kZUH2wGmD//rXkBuyTpmZsOeeeB54AJ8fMuJdTlckssk8doxtO1+mYOBy1QknmAWkhYVOl5ZyFMiyth/9CKuoiOD99zNtGjQ3mxXT0Ri0tpiTpdp8hbyVtTuv5+zDpN5P8OQkmn/cdpvCeEMlpvACAZja857DxYhsmkC8l2+vuhyArCxg1iy48EJHa0plmrKWdVu4EI47bvBmLG6O/m1uNlPZQ//WVE72kRWKwuuvm9Y7sn6JbVDNLVBbC6du/l9ilt/pqkQ2mGXHOW/V95jd+Tzjx0NWjgfuugtmzHC6tJSlEbKs2/TpZmFWdze8+ireyy4jLxfy8gAbLA+09/gJ0E9GMGr2FSqMN5xlwfjxeFpNi1Of3a9AlpRyRMPvmNXxPOPGQ1ZJGH76U4XxMOkVVL5aOGy2Kzz8ML6tNsPnBV9lBd6v70J+Zj+Z21ThOedsOOsspytNPZ2dgx/u1voPBwsR2Qi2zRENv+WQpj9QWgLZORbccAPsvLPTlaU8jZBlw1RWmgMiJHm8XrJzLXz1NifV3QjAPwvmOVyUyJfLiTZzcu1P2aHjOUpKEuu2vvOdMX9KU7LoGrKIU55/Hi67jP6o2Qre1wcnbaH92+JOU3re5+IVF5FHK+VliZ4/l14KRx/tdGlpQ1PWIk7Zay848kj8vsQKVWDXtiecrUlkHYLxbuavuorSYCtTqiBnfA787GcK4yTTCFnEafvtR7y+kU8XmsXXl1X9ldrgRKerkjEuM9bOHq1/Y3zfIrbtfJmceBuTJkNo6gT4/e/V/GcEKJBFnPa//8FZZxGNwaJF8EzuPBaUXeZ0VTJW2TY7djzLibU/I89uJhg0azvz8yGQGzZbm6avv6WubDwFsogb3HorLFjA8mrTWfOkzd9QI34ZdbPb/8m3V30PMCc0lZaB34fpYLP33uZMc51hPGIUyCJuUFcHBx5IYxPU18Nvxv2Y13LmOl2VjBFFkRrOqbmaaT3vEs6AoqLEuoY5c+D442GbbUwoy4jSticRNygthYoKCuwaWpphSs+HCmQZcf54Hwc13c1BTX8i7I1QMs6snrYAbroJ9tzT6RLHFAWyiFucdhqe668nbkPM0gk5MrK27XyJk2pvoiS6isICKCwCb9AP3/62aZurSyajToEs4hbl5YA5qGOflgdZEZzGKzn76YVRkqooUsMJdT9nZud/yMyEskoIZnjh2GPNNeLMTKdLHLMUyCJusf32EA5TVtZNvKaHs2uuxsLm5dwDnK5M0kBWtJUDmxcwt/nPhL0RSsebw9msmTPhe9+DqiqnSxzztKhLxE3+9S+49FJs4LOF0EwB36t6gE5fntOVSYrKjLWzf9M9zG35M2G6KSyAgkLwFhfCRRfBvvtqFsYlFMgibvPCC3DxxTQ2QUMDrPJP5vKqv2BbaqwnGy432sh+zfexd8tDhO1u8gtM72lfRgCOOQZOP13T0y6jKWsRt9ltNzjgAIqeeAKvF+zVS8mId9HtzXa6MkkBU3re56Tamxjft4igFaEg3zTV8oV8cNhhcOqpUFLidJmyDgpkEbexLLPS9Ykn6Eqc0Di1533ez9xJo2T5UmV9yzm88Q52an8anxcKiiC/ALyhABx8sAnisjKny5SvoClrETeybTj2WPo+XMTy5RCNwUfhHbih8jZd75O1FEVqOKrhNnZqf5qAz6aoGHJzwZMRgqOOMo09ioqcLlM2gAJZxK0++ABOOQUb08iruRnOmf4cXd5cpysTF8iKtvLNpt+zT8uDBL1RioogLw88FuZ84uuvT5yRKKlCU9YibrX11rDttvS9/i6treYuhbEA7Nj+LKfU/oRsu52iInON2JOXAyecYBZshcNOlyibQIEs4mbf/S6hE0+kuDhGbZ0Hy47rOvIY5rX7Oavm++zU/gw52eaSsC8rZDprnXTSmoO1JSUpkEXcrLQULItoP/R5Qtjo+vFYtn/TvezS8QzlAz2n994bLr1U14jThAJZxM0sC+JxbCAU72Z832JWhqY6XZWMstLICs5b+V0q+xaSVwC5OcB3vwtHHqlFfmlEc18ibpaTA4cdRkmJOf3u+PqbzQpsGTMC8V4uWXEBU+2FjB9vJk047jizglphnFYUyCJud/HFeHJzKC6GrbpeZ+f2p52uSEbRtp0vUxapZvw4yMkG67LLTMtLSTsKZBG3CwbhjDPIzYFQCGZ0veJ0RTIKcqLNzKv/NWfVfJ/sLAiGgKuugnnzNDJOU7qGLJIKcs12p2gUNo+9RWasnS6v9pimo4HDIPZrvo+Q1Ut+PhSXgLXXXvDNbzpdnowgNQYRSQX19XDEEXQ29rCiGuJ4WFB2Kc/lH+V0ZZIkHjvGvs33883G35Nld5BfAEWF4A364NBD4eKLzUICSVsKZJFUkTgFqqcHmpqhvR1O2+wVoh69SKe68r5lnF1zDVW9H5GXD8VFicMgDj8cTjtN25rGCAWySCp58UW46CLa2mBVDTT5y3gx92AeKzyFfk/Q6epkY9k2e7c+xHF1t5DpjzCuAjLCFhx0EJx5JpSXO12hjCIFskiquf12uPNOevtg9Wro7YGIFeBvRWfwWNGpTlcnGygQ7+Vbq69lp/ZnyM8325k8kybCD39o2qbKmKNAFkk18Ti88w5cfjk0NdHXB80t0NICP5z0RxZnbON0hbIeudFGLl5xMVP6PqKiInEGxLx5cP75Zim9jEkKZJFUFYnAv/8Nf/oT8U8XsmQxLPVUcfnkv2hbjItN7P2Ui1dcRAn1TJgAoYKwGRXvuafTpYnDFMgiqa63Fw48kPYVbaxcBW9k782vx/1Eh1C40Gbdb3HJigvJD3QzfgL4J5TDLbfAVLVDFTUGEUl9oRCceCLZOeb0nx06nmPL7jedrko+Z0bnK1xWfR6FGd1MnAj+mTPg7rsVxjJIgSySDk46CeuQQ8jPNwfUV/V86HRFMsQO7c9x0cqLKcjsY8IE8Oy2K/z2t+YgY5EETVmLpIulS+Goo1i5Cmq6cvlf9p68mHsQC8PbOV3ZmPa1jn9z/srLyMuJU1EB1j57w/XXg9/vdGniMgpkkXQyfz6Rl16noQF6eqE9Guac6c8Rs/Ti74TJPR9x1fJvUZgdYdw4sA45xPSj9mhyUr5IfytE0smVVxLYbkvGjTOzoaF4Nz476nRVY1JOtJkLVl5KTihiRsYHHABXX60wli+lvxki6WTcOFiwAAB/4uiYa5eeqDOUR5nHjjF/1ZWU2HWMHw+ebWeYkbG2o8lXUCCLpKMLLiArG8pKoTyyjMq+z5yuaEw5uOlPbNX9BuPGg7+0EG68UQdDyHopkEXS0QknYLFm3VB+tN7RcsaSzFg732y8i8JCyMzywA036HAI2SAKZJF0ZFkwZw6BIPh8sHvr352uaMyY0fkKPruf/ALgsMNg++2dLklShAJZJF1dcAHBgOmTPKvjXwTj3U5XlPYsO87O7U8RCiWu4c+d63RJkkIUyCLpauJE8Hrx+02zkDs/ncP2HS84XVXaCsZ7uKL6LLbrfIm8PCArC7bd1umyJIUokEXS2d57U1gA+QUQDMBFKy8mJ9rsdFVp6YS6n7NF79tMmggF+ZjzjH0+p8uSFKJAFkln118PM2ZQUgIV48xdtyw6iJLISmfrSjPTut9l99a/UVoK4Wwv3HQTHHec02VJilEgi6Qzjwd+9zusuXMJhWDyZAh7I5y++nosO+50dWnBsuOcWHcToRBmqvqSS3SUomwSBbJIugsE4Mc/xrr6ajJCUF4BW3S/yd2fzObI+tvwxSNOV5jS5rQ9yqTeTygrA2vaNDjySKdLkhSlXtYiY8nrr8P8+axeDV3d0B8BG1ge2ox7Si/h0/BMpytMKeFYBzctPpzxWS2MqwDuuANm6vdQNo1GyCJjyezZcPDBlJXDlCmQkwvBIGzOp1y5/EzOXnW1RswbYb/m+8iNt1BSAnzjGwpjGRaNkEXGmngcnngCfvAD4rZpcx2LwYoVEInAPwpO4i8l5ztdpesF4938YtFBTMhtp6zCC488AhUVTpclKUwjZJGxxuOBgw6CZ5/Fc8nFePNz8fuhqgry8+HApgVM637X6Spdb8+WR8iKtVNYAOy3n8JYhk2BLDJW5eebrTn//CfWDTdgASUl4PPCzE41EPkqlh1nbstfyMlN9As/+WSnS5I0oEAWGessC/bZB444gv5+iMbAqzOUv9LXOv5NUX8NBQXAzjub6QWRYVIgi4jR3Ex/xMxo79d8L5t1v+V0Ra61b8v9hMOQEQKOP97pciRNKJBFxCguJjMLNptupmF3an/G6YpcaVzfEjbrftu0x5w8GXbc0emSJE0okEXEuPBCLKA/CtF+AMvhgtxpj9ZH8HkhKxs4/HAz5S+SBApkETECAdh/f6JR0yzk1RwdHfh5/ngfX297nNw88AQDcOCBTpckaUSBLCJr5OWZVcNAdrTF2VpcaFbHv8iMtZue1fvsYw6bFkkSBbKIGLYNr71Gb4+52RAY52w9LrRDx/NkZJijLDn0UKfLkTSjQBYR46GHYMkS2jug0V9OdXCa0xW5iseOsVXX62RlYkbG223ndEmSZhTIIgLRKPziF3R2QlcnFPWv1l7kz6nq+ZCMeCeZWZiV1R69fEpy6W+UiIDXC6WlBIJQVmbuunHJEfjjfc7W5SIzuv6L1wsZGcBOOzldjqQhBbKImK07v/41AT/4/CZ0iqOrObr+V05X5hpbdb1OZjixGWznnZ0uR9KQAllEjIoKuO46whkweRLk5ZlRoYAvHqGq90PCmUBlpWn6LZJkCmQRWWP//eGOOwAzi10WWU5GrNPhopw3vm8xXjtKKARsvbXT5UiaUiCLyNpmzoSddiIn29wc37fY2XpcYFxkCQDBIDBNq89lZCiQReSLursHO2cG7F5na3GB4kgNPi94PcDEiU6XI2lKgSwiX7R6NZGI+bDDm+9sLS6QG2vC50vcKCx0tBZJXwpkEfmitjaiiW3IPZ5MZ2txgdxoswJZRpwCWUTW1tICkchgT+tgvMfZelwgI96Jx5u4kZ3taC2SvhTIIrK2zz4DoL7e3FwVrHKwGHcIxnvwDJyymJHhaC2SvhTIIrK2KhPAwYC5eVz9LQ4W4yIDgazzj2WEKJBFZG35+VBSQkkJFBfBvs33s0vbk05X5ag4Xmw7cWNgtZtIkimQRWRtXq9poxmAomLIDMMRDb9zuipHdXlziMUSNzrVKEVGhgJZRL6oqgquuw6A3j4o7l/FcXW34LX7HS7MGZ3eXOIDgdzW5mgtkr4UyCKybrvsgpWZSWUlFBTAAS33cswYPWyi05tLdCCQW1ocrUXSlwJZRNYtNxduu42MyhLKSiEYgn2b7yMn2ux0ZaOuwV9Bfz/YANXVTpcjaUqBLCJfbqut4NprAdPH2euFa5adRjDe7XBho2t1cCK2Df0RFMgyYhTIIvLVZs6EffahohwmT4bS/pXs1P6s01WNqjr/BCCxwHrFCmeLkbSlQBaRr+bxwA03wBVXEPCbqes5rY+yZh9Q+mvylxGxQvT1AZ984nQ5kqYUyCKyYQ45BCoqKC6GaT3vMqFvkdMVjRrb8rAkY0t6eoDaWmhqcrokSUMKZBHZMD4fzJ1LKGhubtP1qrP1jLLFGVvT05NY2PXee06XI2lIgSwiG66iAq8PMjPh6PpfURoZOwucFmZsR380sbDrzTedLkfSkAJZRDbcAQfgyc5iXAVYxJnQO3amrT8Jz8TGQ1c38MYbTpcjaUiBLCIbLhSCM8/ESrxyhONjp41kjzeLJRlb0tUFLFkCDQ1OlyRpRoEsIhtn6lS8HggFYVbH805XM6o+DM+mqyuxwPyFF5wuR9KMAllENs5220FJCYVFsF3nS1T2LnS6olHzes4+xGLQ2QU8/rjT5UiaUSCLyMYJBOCYY8jONkcET+n5wOmKRk11aDorg1PM+RLvvQdLlzpdkqQRBbKIbLwttsBjgT8AFZFlTlczqv6T90062jHHMT4/tqbsZWQpkEVk41kWYJp47dt8H7u2PeFwQaPng8wdsYHeXuDDD50uR9KIAllENl5FBXg8lJVCTjacWfN9tugaG3tzawKTafcWmNXWL7wA0ajTJUmaUCCLyMarqIBf/YrwtHGMGw+ZGTbH1908Jvpb25aHjzJnmYVdAO++62g9kj4UyCKyaXbcER55BAvIzYPKvoVjZl/y8tDm9PZCNIaahEjSKJBFZNO98w420JXI4aMabmPbzpfI76/HsuOOljaS/puzLwDd3WiELEnjc7oAEUlhvb1A4sAFYL+OB9m75cHBT3d6c7ly8v20+EvMdHZiMViqa/aX0uQvo7C7lpz334f+fvD7nS5LUpwCWUQ23c47Y+25JxXP/YvOTsjJgcYGs1W5sQk8/W38ctEBgw9fGtqSGyt/TZc3x8Gik+PTjO0Z3/2keVPy8ccwY4bTJUmK05S1iGw6y4JrrsF7wH7k7rwVFlBcDLm5UFYG5eWm/XV2lrl/SuQjblp8GBN7P3G68mH7NLw9vb0Qj6PjGCUpNEIWkeHJzobrr19z27bhnnvI/OUvsTGj5oGJ6kgf2B1tXLf0BC6Z8ncaAuOcqDgpFmdsPbgfOfzRR06XI2nAsu0xsE9BREafbcN//2taWhUXw49+RPyjj+ntherlELfh8qq/sCo4xelKN4nXjnLHp7szvqSPwm3Gwd//7nRJkuIUyCIyOrq7Yc4colHo7oHa2rV7anR5c7ij/Ae8nbVbyiz+umbZacz0v8f4ccBzz5m5epFNpGvIIjI6wmF44gl8PsjMhNISc3fAD1mZkG23c9HKi1nwyQ78bNGhXFb9bUojK5yteT0WZ2xFb0/ihtpoyjApkEVk9JSUwL//jfdr25OTC+VlMHESTKiEoiIoLACfD0qjK5nR/So3LT7M1fuZl4U2J9IPsTiweLHT5UiKUyCLyOjKyoLbb8c68UTyt63En52BBRQVQkkpVFZC1WQoKzcPv/uT2Vy97HQ2637L0bLXpTZQCUB/BKipcbYYSXkKZBEZfR4PXHABPPwwvPgivPkmPPgg1vTphIIQDJrLseWJUJ7e+y5XLj+Tr3X828mqv6DZVwpAfxSoq3O2GEl5CmQRcYfJk+G+++DVV+GJJ7COPZb8PJgwASZWgtcLF6z8DsfX3Ux2tMXpagFo8xVi4zGL0xoanC5HUpwCWUTcxecz15ovuQTmzyc7y6wHC4XA74P9Wu7jxLqfOV0lAHHLS4c3zwTyokVOlyMpTtueRMTd4nHYYw/ind1EIlBdnThl6XOqg9OJWT4m935EvxUkZnlZFayioL+ePk8GjxeeSKuviPcyd8G2kjcWuW7p8Wzj/5Tx44E77oCZM5P2vWVsUSCLiPs1NsJ++wHQ1WX2MTc3m2nseBywzQEX8fiaLcx23Nzn8ZjPx4e80rX4SujxZNLtzeL+kgv5LLztJpe2Z8vDnFr7Y6ZPA9+5Z8EZZ2zy95KxTa0zRcT9iorMwq/HHiPz5pvJ7OggPw+wIB4Dnx/a2iAWhYJCc/iShQlkvx96us3Cq65O6OmF/Eg9+YlvffXy03k59wBur7h2k0qzsLEssDyY1Wgim0iBLCKp4+CD4aCD4M038Z13nmn15TWfys9b87BgYO0vy8w0v2ZnQ7QfIv1m5NzfD60tsGvbE3yQuRMv5x7AxprS8wFeD3g9QH7+eh8v8mUUyCKSWiwLdtjBrMYe0NICb78NU6eaZdnrar1ZW4v39NPx1tWtNZD1eWHlKjir5hqqg9NYEZq2zh/ri0fYu/UhivprAZs5rY+SEe8CIIYZjVuffZa0pyljj64hi8jYNWcOdHdTV28yPR6H2yuuXWuk7LFjHNi0gKMafoNlmTMzPIkRsddnVoCHM8zo27ruWjhg40fZIqBAFpGxbtYsAOrrzXXo/ijcUPlbPsrcgWC8m58uPoqCaB2WZcK3pAQCARPKtg0kAprTTjP/hUKOPh1JXQpkERnbOjpgzz2J29DXC0uXrfnUO1m7sV3ni4yrgFCGCWILzLT47NnmeMmDDoKTTlIQy7ApkEVEGhpg//0BaGmF1lbTn3pgv/PEiZAZBioq4A9/MKu+RZJMgSwiAmbF9qGHQm0tNtDUBE2NZv9y5YTESu0333S4SElnCmQRkaGWLoWjjsIGenvN1qjsbLAqK81hGCIjRL2sRUSGmjwZXngBa9ddyQhBTjZY224L99zjdGWS5jRCFhERcQGNkEVERFxAgSwiIuICCmQREREXUCCLiIi4gAJZRETEBRTIIiIiLqBAFhERcQEFsoiIiAsokEVERFxAgSwiIuICCmQREREXUCCLiIi4gAJZRETEBRTIIiIiLqBAFhERcQEFsoiIiAsokEVERFxAgSwiIuICCmQREREXUCCLiIi4gAJZRETEBRTIIiIiLqBAFhERcQEFsoiIiAsokEVERFxAgSwiIuICCmQREREX+H8ZvcZ1/asRJgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/tchegini/.local/apps/mambaforge/envs/hyriver-dev/lib/python3.11/site-packages/pynhd/pynhd.py:985: UserWarning: 95 of 3717 requests failed.. Indices of the failed requests are [735, 736, 737, 738, 739, 740, 741, 742, 743, 969, 970, 971, 972, 973, 974, 987, 988, 989, 990, 991, 992, 1570, 1571, 1572, 1573, 1574, 1575, 2395, 2396, 2397, 2398, 2399, 2400, 2401, 2402, 2403, 2404, 2405, 2406, 2407, 2408, 2409, 2410, 2411, 2412, 2413, 2414, 2415, 2416, 2417, 2418, 2419, 2420, 2421, 2422, 2423, 2796, 2797, 2798, 2799, 2806, 2856, 2857, 2858, 2859, 2860, 2861, 2862, 2863, 2864, 2970, 2971, 2972, 2973, 2974, 2975, 2986, 2987, 2988, 2989, 2990, 2991, 3639, 3640, 3641, 3642, 3643, 3644, 3686, 3694, 3695, 3696, 3697, 3698, 3699]\n",
      "  return self._get_urls(urls, False)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "31039"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nwis = NWIS()\n",
    "query = {\n",
    "    \"stateCd\": \"TX\",\n",
    "    \"startDt\": start,\n",
    "    \"endDt\": end,\n",
    "    \"outputDataTypeCd\": \"dv\",  # daily values\n",
    "    \"hasDataTypeCd\": \"dv\",  # daily values\n",
    "    \"parameterCd\": \"00060\",  # discharge\n",
    "}\n",
    "sites = nwis.get_info(query, nhd_info=True)\n",
    "sites.shape[0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "source": [
    "We can see that there are 30604 streamflow gauge stations in Texas that fit our criteria."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=90, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's filter these stations a step further to include only those stations that have around 30 years of daily streamflow data with drainage area of larger than 10 km$^2$ that have been impacted by human activities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2003"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sites = sites[\n",
    "    (sites.parm_cd == \"00060\")  # discharge\n",
    "    & (sites.stat_cd == \"00003\")  # mean\n",
    "    & (sites.count_nu >= 30 * 365)  # at least 30 years of data\n",
    "    & ~sites.hcdn_2009  # not pristine\n",
    "    & (sites.nhd_areasqkm > 10)\n",
    "].copy()\n",
    "sites.shape[0]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Upon applying this filter, we're left with 280 stations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MWdllg3p9p9MGyBiNRqKjCygq6iY5+QKKirqJiSnqmfy6evYTCASjHWGQBZHhBCx7k+UmQPVOu7u7ycpaj83WrXmnstw4qNc3maKBGFwuF9HRBbptBQXFjB//OGZzTs9+AoFgtCMMsiAyeHR7OhGw29sBdRnGZErHalVIT78Kq1XGZErXlmbc+w0WZrPafrSz8z8+2zIyrmXWrEODen2BQDB0CIMsiCiB+huPNiyWeCCOMWNuYs6cWt22OXNqGTPmJiCuZ7/BoatrDw5HMwsWLMDhaKKrq3TQriUQCIafE7egVCAYIEVFbQG3ZWevITt7TcSuJcudNDS8pFMIa2p6WadfXV5+DSkpK7TtkmQmNfVSDIbYiI1DIBAMH8IgCyKDJHGCRKuHhcrKVRw//gef1731q9vbP9Zt7+raQXb2uqEapkAgGEREyFoQcU6UsPVQkpn5EHFxZwCQm5vL5s2bKSkp4c033wRUhbCSkhI2b95Mbm4uAHFxZ5KZ+dBwDVkgEEQYYZAFghGAwRDLjBmfkJm5lvLyyj70qyvJzFzLjBkfYzCIDGuB4ERBGGRBZFAU3I7xiZJpPRxkZKxk+vSdtLZ2sGaNfo16zZo1tLZ2MH36TjIyVg7TCAUCwWAhDLJAMMIwGOIAl6YQds0111BaWsrSpUsBFwZDwnAPUSAQDALCIAsEI4xjxx7wUgjboFMIO3bst8M9RIFAMAgIgyyIDCegUtdw0dLyN8CtX51DYWEpMFlTCHNvFwgEJxbCIAsijlhD7j+y7MThqMZoNJGevpLCwlKio6dTWFhKevpKjEYTDkcVsuwc7qEKBIIII+qQBYIRhMFgIiXlctLSriYh4QzdtqystSQnf4f6+vUYDOJ/XYHgREP8Xy2IGFrQWhIe8kDIyXku4LaEhDN8DLVAIDgxECFrQWQQa8gCgUAwIIRBFkQGYZAFAoFgQAiDLIgMPQZ5JCV0VVbeS3GxRGXlvcM9FIFAIOgTYZAFJyy1tffongUCgWAkIwyy4ITFaJR0zwKBQDCSEQZZEGFGhvGrqLgdWZZZsGABsixTUfHL4R6SQCAQBEWUPQkixzDlddlse9m/fxmK0iuW4XRWYDAYeOaZZygsLKSubjWNjc9q2yXJxLRpG4mOnjEMIxYIBAJfhIcsiAzDmGW9Z89cHI4jOJ0V2gNg0aJF5Ofnc+655wLotjscR9izZ+6wjVkgEAi8EQZZMOopLNyu/Ts3N5fNmzdTUlLCm2++CcCbb75JSUkJmzdvJjc31+O4vUM80sFHxqhGKlyu4R6KQCAIE2GQBZFBUVAYnrKn6OgZWK0KRmMG5eXlLF++nIqKCuLi4gCIi4ujoqKC5cuXU15ejtGYgdWqEB09ecjHOtgoSOrKgSwP91AEAkGYCIMsOGGYO/cYqal30dLSwpo1a3Tb1qxZQ0tLC6mpdzF37rFhGuHgk+hqHO4hCASCfiIMsiAyjBD96qiobCRJYtmyZZSWlnLNNddQWlrK0qVLkSSJ6Ogpwz3EQUcC6Ooa7mEIBIIwEQZZEBlGiHRmefm1yLJMY2Mj8+bNY/369RQVFdHU1IQsyxw9+qPhHuKg0mFMVC1yc/NwD0UgEISJMMiCiKIMs6csSXYAVq9eTXd3NxkZ92Cz2Vi9erVu+wlPdvZwj0AgEISJMMiCyDACPGSbrRkAo9GIJMVgtSpkZv4Sq1VBkmIwGo26/QQCgWAkIQyyIDKMgOYS0dHJKIqR+PjlFBV16rYVFXUSH78cRTESHZ08PAMUCASCIAilLkFEGe5uT1arI+C2KVNeBl4eusEIBAJBGAgPWSAQCASCEYAwyALBicgIWNMXCAThIQyyIDIIAzAikMTnIBCMWoRBFghOILSysxEi1CIQCEJHGGRBhBGGQCAQCPqDMMiCyCGipUOCzbaPnTszsdn2DfdQBAJBBBEGWSAYZVRV3YHDUUVV1Z3DPRSBQBBBhEEWCEYZnZ3/0T0LBIITA2GQBYJRRFfXHhyOZhYsWIDD0URXV+lwD0kgEEQIodQliAxDXG5TV7eBioqrycpaT3r6VaPu/KEgy500NLyEovSqjzU1vYwkSTzzzDMUFhZSXn4NKSkrtO1v2qu5Ro4djuEKBIIBIgyyIGIMpUmurLxRex4MgznY5w9tDKs4fvwPPq8vXryY/Px8zj33XN59913a2z/Wtt0P1DaN5WkmD91ABQJBRBAha0FkGOLmEgaDQ/c82s4fCpmZDxEXdwYAubm5bN68mZKSEt58800A3nzzTUpKSti8eTO5ubkAzDEk8auUzOEaskAgGADCIAtGHbW165BlmQULFiDLMrW1T4yq84eKwRDLjBmfkJm5lvLySpYvX05FRQVxcXEAxMXFUVFRwfLlyykvryQzcy0b4oqINoj/rQWC0YikKEJrTxABLr6Yhi8PUVEXzZUzPonYae32cg4duli3jtrVtQ2DAXbv3k1hYSGKIhETM0/bLklm8vJexWLJHvbzRwqbbR+lpbM499xzeOedd7TXlyxZwnvvfUB+/i6io6fzxP5F5KS2kjYvG/761yEbn0AgGDhiKi2IKEqEJRtLSubR2bmFrq5i7QEyixYt0tZRQdZt7+zcQknJvL5OPSTnjxQGQxzgYtmyZZSWlnLNNddQWlrK0qVLARcGQ8KQjkcgEEQeYZAFI5qCgm24v6ahrqOCgYKCPSPi/JHi2LEHkGWZxsZG5s2bx/r1GygqKqKpqQlZljl27LdDOh6BQBB5hEEWRIZBWvmwWLKxWl1ERRVSXl7exzpqOVFRhVitLiyWcSPi/JGipeVvAKxevRpJyqGwsBSYzOrVq3XbBQLB6EUYZEFEGaws65kzdzN+/B9oaWlhzZo1um1r1qyhpaWF8eP/wMyZu0fE+evqNlBcLFFXt6Ff4/FElp04HNUYjSbS01dSWFhKdPR0CgtLSU9fidFowuGoQpadA76WQCAYPoRBFkQUaRCrkc3m8UiS5HcdVZKkASdZRfL8nnXMA8VgMJGScjl5eR+QlbVWty0ray15eR+QknI5BoOQFRAIRjPCIAtGDUePft9rHXW9bh21rOyyEXP+SNcx5+Q8R0LCGdrflZX3UlwsUVl5LwkJZ5CT81xEriMQCIYPYZAFEWUwhUFkuQlQ11G7u7vJylqPzdatraPKcuOIOP9Q1DHX1t6jexYIBKMfEeMSjArs9nYAjEYjkpTKnDm1AKSnX8WOHRkoSgOyLGO3t2OxxA/Z+QPXMffqTVdW/pSGhme07ZGoYzYaJVwu9VkgEJwYCA9ZEBkGWV9GNYJxjBlzk2Ys3cyZU8uYMTcBcf0yxgM5/3DUMVdU3K7zwCsqfqltMyhyv88rEAiGF6HUJYgMS5fSsO84ZcfjuGb6h8M9miHDbi9n164cQCY3N5ennnqKiRMnkp2dTVxcHB0dHZSXl1NVVcU111zD4cOHAQOzZlWFVDpls+1l//5lKEpvBrXTWYHBYPBQElMwmbIASHPWYDFI/PuUecz4738H6V0LBILBQHjIgshw/PjQtnsaIQx2HfOePXNxOI7gdFZoD8DLA0fbdgwn5bKDuV98MThvWCAQDBrCIAsiw+TJANgMccM7jmFisOqkCwu3a/8OXUkM9hYWwsUXw7p14BT1yQLBaEAYZEHEUAwGjMrJ++M/GHXS0dEzsFoVjMaMkDzwFMwcn2wl0xRNU/EhlOeeg/nz1QiGQCAY0QiDLIgMioIky5gV+3CPZNgYzDrpuXOPkZp6V1APPDX1Lv6S/HWamuDwYaipgaNHexzk73wHXK4BvkOBQDCYCIMsiCiDWYc80hnsOumoqOygHnh09BSemnAP78V+k02J/8fzGT+nsxOqqkHp6oIf/hAqKgb8PgUCweAg6pAFkUFRTsacLo3BrpMGKC+/Fuj1wLu7u3n++edZtWoVsixz9OiPSLPaOBQzSzumxZTKDVW3UV4O4x0lWB56CB57LPSLdnXB1q2QkQFTpvRr3AKBIDSEhywQRIDBrpMGkCR1OcDtgWdk3IPNZtM8cPd2T75MPJe1WY/S0QGNjcBnn8F994VWN97RAcuXw89+BpdcAu+91++xCwSCvhF1yILI8J3vUL+tnCMNiVw37T/DPZoTDputmZKSMRgMBmTZQlFRp7Zt69ZYDAY7sixTUNBIdHSyz/HnNr3O9489QHo6pKaCdOaZ8OCDYLFAdzf87newcyckJEBhIXz727B5M/Lv/0D5URg3DqKjgdmzVeO8ZMnQvXmB4CRBhKwFglFAdHQyimIkPv4ipkx5WbetqKiT7dunoCiHOHbsLiZPXudz/H+Sv8vCpr9B3X5QYMzHn2BYtkxN9tq/H/njT2hvV+2z6YtiTM8/D6iOdJcNysshexIYindi2bkTOjvhW98aircuEJw0CA9ZEBmEhzysFBf3JtNZrf7/l5YUmctr17C46TXi4yEzEyQJJFSje+SIup/RCGPHQlKiapD3H+g9R5RFPS4qCti0CdLSBu9NCQQnGWINWRAZRtG8rq5uA8XFEnV1G4Z7KBHDaDTqnv2hSAaeH/dzXk6/ifZ2OHBALY86fKQ3+XrD+LtpIYljx6DsKBwtV1//rnEyhZ3F3N1cpoqyKcAFF4AjMu0lBQKBMMiCk5DKyht1z6OdI0eu0jWbOHLkuqD7/yv1e/w2+wk2Jq2g3W6h1pnKQdMMVuX9lY+Tv8FPpm7mk6Sv092tLi//adzt7G17A4A/00BrGzQ09JzsnXcG+d0JBCcPImQtiAzf/jb12ys43JDE9dNGdjbu9u0mXC4XRqORuXNHl7JYZ+dW9u1bAvSKfMhys0+zCYMh2eMoI9Onv0NsbFG/r+t5z3ZGzcVsgilTQfrOd+D22/t9XoFA0IvwkAUnFbW163TeZG3tE8M9pLAoLT0VWW5Alpu1B/g2m/DcLssNlJae2u9renvgVykmZKVH+OvttyPwrlRuuOEGJEnihhtuiNg5BYLRhPCQBZGhJ6lrJHnIdns5hw5djKL0rnN2dW3DYMDDm5SIientTSxJZvLyXu2X7vRQ0Nm5ldJSK0AY7R4hP7+U2NgZIZ0/FA88EYOaECaBMTGRdzZtoui009TF5e3bwWxWy6ek0JXbJI99xc+S4GREeMiCyNDzA2pURo5ecknJPDo7t9DVVaw9QPbyJmXd9s7OLZSUzOvr1MNGbGwRVquCJMWH1GxCkuKxWpWQjDGE7oG3ItOiyDTLMg3NzZw6fz6ccgqceipcdRX84Afqv99/P+T31ldi2ve+9z0kSeJ73/teyOcUCEYTwiALIkOPQXZJgbN8h5qCgm24v+Khty40UFCwZ1jGGw5FRW0kJV0btNlEUtK1FBW1hXXe/PwvtX+H0+7x44x8mpuhoxOO1arNpdragFWr4Nln1U4X/tpAtrbC8eNcdeWVurD4ddf5Jqb9+c9/1j0LBCcawiALTlgslmysVhdRUYUheZNRUYVYrS4slnHDPPLQiIrK6aPZRGhesSfheuCxSOyJtZLcFkt1T3epxkY4Xg+VldDcAsrjj8M3vqG2gTzrLLa+/TZpY8aQEhdHSkoKKePG8fQzzyBJEs888wwATz75pLotKYkUi4U0i0XvQbvLrfbvV6U9r70WSkoic2MFgmFCGGRB5Bihy34zZ+5m/Pg/BPUmx4//AzNn7h6mEfaP6upVQds9VlX1v6wrVA88v8jFrXlvcs20D/jl5Bd4JHMtP5uykbsnP8/uuK9QXa0a6brjqucsd3Ry6oUX0tDURHNnJ82yGvYG37B4c3Mzza2tNDscNDgcOg/6krQ0uPde+NnP6P7Pp9g++R9ccQXYbP2/oQLBMCMMsiAyKApII7f9otk8Pqg3OVKTuIIhSeoMyN1sIjX1p17NJgY2QwrJA5ck6iyZdBnjKYvJZ2vC2TSZ0zkSU8AD2X/gL2Ovp7MT6utVz3n/fticka9dw19Y/Be/+AUxMTFYLBav99vrQb/a2krs3XcTu2kTSbuLSd1TzKft7fC//w3oPQsEw4kwyILI0OPlKCP0K3X06PeDepNlZZcN9xDDorOzHnAnQJmwWhUmT17XI5tp0sK77v36QyQ88LfTfsQNUzdxw9RN3Dvpj9QZJzCuLZY9sVaiMejC4r/4xS+QJInFixfT1dWF3a7vXuXtQXf1PLqBTuDMffsge/RNrAQCN6LsSRAZeoRBDjUk85Np7w73aHzYutWgK6XJylpPRcU1uOPskiRRVCQP0+j6R3Gxgbi4RcyY4Xu/9+5dTEfHf7Ba+/+evO9ZaupPaWh4XPu7r3tWWXkvtbV3k5FxD5mZv9ReT3Q20mmIx2mwUFZ2A42Nv2fx4sVs3rzZ5xzhlHZtmz6dubt2qSVXAsEoZGS6M4JRizQCF5Lt9nZA9SZNpnSsVoX09KuwWmVMpnTNm3TvN1qwWmW/xhhgxox3B2SMI+GB19beo3t202oag9OghqM9w+KeSVsPP/wwQEiJZWageqKV2XHx8Prr6vLJkSOq7qdAMIoQBlkQUUaiQbZY4oE4xoy5iTlzanXb5sypZcyYm4C4nv0EALGxaSgKREefg9WqbyBhtTqIjj4HRVH3C4TRKOme/eEOiz/77LO6pK0XX3wRAKfT6ZNYtmHDBs4//3yam5uJi7uY7bFWHO7o9sMPq/XPy5fD+eerIiX+sNvh179Wa6fvvFNtJykQDDPCIAsiQ09oc6QmdRUVtZGdvcbvtuzsNWHX645GKivvpbhYorLy3pD2H4gHXlFxu87AVlT0hqw7O7eybVsa27alAOo5duzYoUva2rp1q7a/d2LZT3/6U21bdHQ+nyR9jfYOqK2FllZobobqarA3tcNNN/kf4A9+gPK3v2HrBmXTJjjrLPjoo5DuS5/YbPDll3DwILz1llqDHQL19fVcdNFF1Nf3f91/SFAU+H//T53M7N8/3KM5oTAN9wAEJwguF4oCMiNHGESgxzOE7LmmO1Bstr3s378MRekV/nA6KzAYDDzzzDMUFhZSV7eaxsZntW3+8Ezaevfd3omAZ2JZd3e3LrRdW3snf5zXTZchnpkd/2V8U5l2XFwcWNK91pOrq1Uvev9+jtdBfQNYLDBhAsSuXAnr10NR/5tw0N2tll/1rGsrgJSQAC++CBMnBj305Zdf5o033uCcc87RTToGHZcL7rpLTYU/+2w1uuCV4a5j9WqUzZtxucB06aXwla+oUYnvfhcSE4du3CcgIqlLEBmWLuV4yXH2N6fzs6kbh3s0Aj8MRpcrd+KWP9yJWuedd57OwHrSV9LWkiVLdIllUVFW7PatzJ8/ny1btqAoSs+6ds92uZOHD36TMVIzk3PAbKK3FGr/frj0UpwusHVBZZVWHNDbvcp9okmT4PvfVwVNvPW4DxxQ16obGuCHP4SZM3u3bd0KV19NfQOgQGMT5OSA+YeXqwImnuzcCY8/DuPGwS23cM6FF/Lhhx9yzjnn8H4YkqP9wuEAoxE2bYIHH4TOTmxdMlFRIH31q/DQQ2Dy4699/jnccANNzXDsmGp/U1PVPDqjO9760kswbdrgjv8ERRhkQWQ47zzq9jWxt3UCK6dErgOQIDJUVNzO8eO/1QzZ2LF3kpUVWug6GMXFRtxhZwgvKxpiMZnsxMfH8+qrr7JkyRLtPO+88w7nn3++7loxMVY/zUEULJbZGI2qJyxJJt6yd5IVbSErG2LHxsMHH6g6ngsX4nBAbZ2q2Lk77jQezXyIWypuZpa9mClT1eu0toDBAPEJIF12Gdx8M3zyiRr+TkyE1la6u9XIbXScEZ58Eub16J9XVcGFF1JZCa09qyBZWZCweL5qkMeNg4QEdSbwrW/RdbgaswkaFQfjd+3itPnz+e9//8uxY8cYO3Zs/z6Uzk41bF5XBxs3wmmnwRln9Ly5VrjyStWDnz0bZedOXLLE8VqFpmZISYHxbqG67Gz4xS9UD/jYMbj0UmhtxeGEup7lATdZWepzdLTXJEgQFsIgCyLDokXUHmxlT1s2P8/763CP5qQmWAjZ05CZTFnadkkyMW3aRh+5zbKyG2hoeJzU1J8yefI6n2t5et2QhiQ1BDSwF198Me3t7ShKKnPnHtPO7y57euedd7T9lyxZ4rcMCvr2vJMwsi9rLunpPR5vdjaUl6MoqmJYQwPYDLFcPe1DkCQKO77gtvLriY5Wjaw7OXv8eEiZOhZeeAEuuACXrG43GmHfPlBkyMmF6HkF8POfw9/+ph68aRO1tdDQqC7hTMhwMWaMdqNxnHUWxaeeiutXv+JYreqs/tfQyrqOWnbt3s3MmTO54447dBMSo9GI1WrFHKikq6Ghd+36vvu0l50uMBmBpUshKgrefBOXrK63JySo9rmlpfc0cfESKckKcbFquN1kBOLjob0dlwskg2rn29uhRhnHfZOe5ncHv46E6imbzDAmpedkBQXqWERteMgIgyyIDGedxbEjnezqyOX/5b423KM5qSkujkaVy9DTdwg5CqtVLz1ZXNwbrvUMDYN/r1uSTNTV/cqvgX333XdJT/+Vbv26puZhjh1bxdq1azn//PN55JFHuOmmm9i0aRMrV65ENalKGJ63gdvG3ccVrW8gSZCUBOljwWBUvbqmJtXQfH/GFyhSb07rGS0bWdrwIs2mNL5IXMyVNfeqBjkZ+OY3Ud5+m/rj0NauvlajzifIyIDUMYDZTHeHA7MJHE4oOwIbky8lw17BaY6PmTwZaqrVcfzH0sjlZUd87v75ixezafNmzl+yhHf8TEZeeuklVqxYoX/x2WfVsLcHLll1ks1mqKhQ19IzMlSvv7MDomPUfDNXT2M2hxTFSxk3Ey13cnHdY0BvCDo2Vp2AuGTo6FAde1nuWXbOeZGj0TOY0VHM7eXXqN+gKNXDNprU65lNwOrV6oRA0CfCIAsiw+mnc6zczo7OqdyR+/Jwj+akxmbby549qjyl25A9+uij/OMf/+Cyyy7jqaee8htCLiw8QnT0ZN253B4wgNmc06fXDUkYDG1+Deytt95KVtYLpKVdqp3DM+QtSRKKohAdHc2qVat6JEANREXl43Lt69PzNhqna3rk0zu3ck7zm5zRslHr2yzLsDfWym+yn9AZY28KO/7LbeU/YfJkiI1RX2ttU5tleGI0QGoapKWqfzc0qg2tWluhQprEPZP/RKrjGHcevZJ4Q6fW7GpCtsKDTdX8traW3Nwcngwy0bj22ms5fPgwd9xxB3fffTcmz3Xdq6+GrVtpa1ffW0uLOt6OTujqBNnjl91khLSxauQ5Kkp15P+R+gP+kfp9Oo0J6k6KQmHnF3y1+R8kuhrJ69qDUzIhodBhTKTGMom57Z+wJXEJL6ffRJM5XTt/rKuNC+ufYWnjiz2fpRrdHzeuZ235wQdh0aKA91ygIgyyIDKcdho1lS622Wbwy5wXh3s0AmD79nFaCLm5uVl7XVGUgCFkT44cuYqmpmeYP38+n3/+ud9rBPK677rrLh588EG6u7u9DKzeCw9VDayubgOVldcE9LwzM58iPf0qn/ElO45zSd1jGHDx99QfUhE9tc/7FiV38of9i4mS7MTGgCIZ6OqUkWW4dtr7JLiaeejQt/l3TB0rGypYP3s2V5rNNDaqJVfd3bAy723qLRMAGN9dxqLmv1Jtmcx5Ta+SZT8ECmxxtXGLcgwp1sjLr77iM9G49JJLiFIUXvz971l46aVqvHzvXvUCBQVw+ul02dSJgsPh+z6eHv9Ldsedhlnp5qrqe8mxlWBW7FRF5fJOyiW8n/xt34S1AWKS7Uywl3HfkUuRJNUzT0jo8ZT/+U/1eunpfZ7nZEUYZMHAURQ49VSqa6C4eyb3TH52uEck6KGy8l7q6n6FwWDQ1nqdTqdPCLmzcyv79i0BXNqxstysecAFBQXa68HCx72eskpq6s00NPxO+9tTbrOzs569e9N1Y3NnfxcXmzEaFWRZZsaMOrq7t1BWdmFAzzsnZyPJyfoksIEQ42pnSdMrTOw+QrLzOEejZ/BG2jXYjKpa2POlp1DUuZVuFKIliY55Rezfp3qlqyc9w4HYOX7Pm+hsZEHrJpySmb2xRRw1JLJ336mcddZ03nnn39p+5y9Zwr6PPuLzKTMYPyEd/v53eO45tSwLVEtXW4vTCfsPwPb4r/Kncf+PJtPYgEY2Su6kW4qJuBH2x1h7FWsPXYjBAHl5PQbZk3POUbt1xcYO+lhGE0IYRDBwekKaigIuUdo+ooiKykZRFJ1Ix9KlSz06Nk0BoLT0VGS5AVlu1h7QWxu8ePFi7ZyHDx/mW9/6lo+c5a5duwC0OmFVbvPhnv7KMdrrNpt6blUNTD+22toneo7Vq4ENdXOQLmM8b6VdyR8m/pr7J63nzxkrNWMMqgF09tT5OAwGDJK6NvtJ0tcCGmNQZUP/PeZS3ktZTlVUHpIhCoejhmXLluo6al2wdCnHHE5qKyWUxkY15PuXv9DcDEfKoONILXaHmmAFqMbYnB7U2HYbYofEGAMct0zk/+W+hizDkcPq2rvTCZ1d6sP1nw9UMRbhD+oQBlkwcNyLYwrIkhAGGU7a2z+luDiO4uJYiotjKS//IaBvXbhp0yZWrVIlK48evYzi4jiystZr5/DXEvHNN9+kpKSE3NxcADo6Onz6JD/99NMoioLROMMnAayoqBOLZSmKonD48GJKSk6hpOQUwKAbW2XlT7VtstxMbOxp2O3lyHIT0NtqMitrPTZbt9ZqUpYbI3sj++BBYnUTid8fq8XeDc2m8EqVWlr+iSzbeyYaVjZs+CPWolNoamqiW3bxblcL1dWgvPUWNDbS1g5dXWqP6YMHobkFdsfN163njhSqonJZlfc3nC5Vj6WmBpqb1GTwbveqxamnwuLFau2ykC8VIWtBBOjogLPPprISPpNP48Hs3w/3iE5aPLOiPQlFpMNqVdi6NQGj0RYwgWrZsmVaeHnNmjUhJW652b49FZfL13D2PbZ4JKkDg8GAJKXq9Mh37MhAURqQZZmZM1sHRY/cbi/n0KGLUZTehVrvemhJUZgqJVAVlYtLMiFJZvLyXtX12a6r20BFxdVkZa3X1rsPH76IpqY3AEhLu5qJE39NVdXt1NdvACAv4SzednUwYTwkJcOhg3DAOJ2/jL0Os2znYMwsms39rFceItLs1dx19EpSnHXaa2PGQEy0mgXvcqmZ3BobN56068zCQxYMHHfIGiGdOdxMn/6J9u9gnu7mzZs1b1c9bhugan4nJV3r09AB4I477tB5hdu3b/cbPj569Ed+x1ZQsA33T07oYzMwa9YBhrM5SEnJPDo7t9DVVaw9QNZJfcrAPqWNdtsOurqK6ezcQknJPN15Kitv1D0rikxr67+wWJLJzX2dSZOewmRKY9Kk9eTmvo7FkkxZ5/84FJXP8eNw8ADYHfDn9JXsiD+T/yUuGvHGGKDeMoGfTd3IFfn/44oZXwLQ1KhmpR8tV0uo29rVULYCsGwZPPYY/OhHaiLYSeQzCg9ZMHAaG2HJEsor4GPO4ndZDw/3iE56iostmExKn6VCTqfTJ7xcU/Mw1dW3cO6555KVlUVxcTFWq5U333yT1tZWrzIniIk5na6uz7Tj++qTvHv3zLDLmIYTu72cXbtyADmseuhZs6qwWMZp5/EnXVpf/zQJCecRFTXJ57rd3Udpa9vM1KRvctFxdW39nTGXcDR6esTfoz/vfbAwKg5+WvX/sLZ9AKilWp1dan6XxaKWShkkNUFOkkC6/Xb4zncGdUwjBWGQBQOnrg6WLaO8HD4wLOKxzAeHe0QC4ODB79Ha+lLAUqHExEuZMsW3RM1bDtOTUELfkiRRUNBIdHRywLH1t4xpOBnIRKK2dh1VVT/TRFQmTvw9GRnXDfVbCMjWrTEoig1JiqaoqGtoLqooXNjwRxY1vaGFs5OTVSMcFQUtzaqkuCE2Wu2alZqqts2sqIA9e9RmGMeOweTJqua406nWneXkDM34BwGREisYOD1JXQrglMRXaqQQFZWra13oXutdunQp7733HtHR+X6PkyRFFyX09gpBDS97e4VmcxZRUafS3v52UGMMYDaPDzo2z7XXkcLMmbu1icSaNWt0BnnNmjW0tLSQmfkUycnnU1q6wM+as6R1v6qs/CkNDc9o2/2tOQ8lBoMDl0t9HjIkibfSfsxbaT/GLHfz6MFlapZaD4k9kt8Gm03tbe2Bgqrh5nKp6mfSwx5RuSuugBtvHJr3EGHEGrJg4PS0zFEUiHe19rGzYKioq1sdtFSotvZOn2M6O9VevGqJkom0tOsoLy9n+fLlPmVOFRUVLF++nPLyctLSrmP27HKmT38Dq7XvH/WhLmOKFN4TCXeZkruMzGLJDmnNGWTddn9rzkNFbe06v6VnoVJefhvFxRLl5bf1ewwOQxTXT3uPq6d9yNPjVWnV1jY1k7y1Dbps6rzf4VDXm4/VqPooVVWqJKndoXbWau8Ann9e7aQ1ChEha8HAOXIEli+nrAz2y3ncnvvqcI9IgK8KVlLSZbS0/Fn7O9Bab3Gxgbi4RcyYoYak29u3sH//GSxefK6f8PJ7TJv2KfHx8wc0tqys9VRUXENPWk+f69DDhTtTPJASmdGYSkHB1oisOQ8GoWSMK4pETEzv5KAv77242IDbZ7VaI/eZ5Xbt4Vdl38diVpOum5rVteUum5qVLUngdKgNNCwWNZodH6/2tjb9wE+7y1GA8JAFA8cdslbgUMysYR7MiU1d3QaKiyXq6jYE3a+9XZXCVD1dCatVYcqUF3sSuCRNpMO9nydWq6wZY/UcSUgSAbxCMBrH+JwjGHZ7uzY2kykdq1UhPf0qrFYZkyldG5t7v5GEdz00gM1m09VDWyzZWK0uoqIKQ4ouREUVYrW6Bt0YQ2gZ4+F678YegRSjMbLm5HBMIb/IfR27Q+1d3dHRKzDS3a3WM++MOpUj0QV0OCyA2oXK5WLIBFAijVjwEwwcux3omSMrI8+rOZHwLJ0JlvQUHz+up8XiHObOLdZts1pldu+20t29lfj4vo1ARcVNuvByd3c3zz//vCYuUlFxI9OmbQr5PajlSXGMGXMN2dn60qo5c2opL7+V+vqnBq2Mqb94TiQkKRWnsxFwAiZMpjFaPbTd3o7FEh/ymvNQJq8VFGwL6L2D/9wAMFBQsMfv+Y4e/RmyLDNhwgSqq6vZs+d0Cgs/87tvf6iOyuGKGV+S5GrELkXRZQz8nZjWuZ07j16p/iGPzt8h4SELBk7PbFRRYILdt62cIHK4k25CSb6xWhVmziz2u23mzGKfcqdAdHR8DKheodMZw/Tpn+NwRGteoXt7OBQVtfkYYzfZ2WsoKmoL63yhRg4GQu9EQq2HNhrV+2c0KgHroauqfoOiKOzevTvgmvNQMhDvvatrF9u3T2D79gztUV//GJIkUVNTA4DN9rlu+/btE+jq2jWwQUsSLabUoMYYQPKsDKirC7zjCEYYZMHA8ZDOFCHrwWOgyTf9weWyoyg2jEYjiYlfZ+7cJuLj5zN3bhOJiV/HaDSiKF24XPZBH0swvEU3Bgv3RKK6+n7dZ1Fd/aDfiYQsqxPUmpqaIU9e8zdJsdn2snNnLi5XK05nnF8BGLf37nTG4XK1snNnLjbbXkpKinC5anC56rQHqHrnBoM7bG3UbXe5aigpKRq09+hJjKuj94+uISrdijDCIAsGjscasih7igx2ezmlpQs0XeeSklOorLwpoO5zSckplJYuwG4vj+g4jEYLMTHzyc5+lalT/67bNnXq38nOfpWYmPkYjZaIXjdcwokcgNoFq7hYorLy3j737e4+xO7dM9m1a4b2qKm5Q/dZ1NTcptu+e/dMursPaevhRqNxyDW4/U1S9uyZi8NxBKezAmgJmjEOLTidFTgcR9izZy4FBVu183gqrc2dO1c3Obnssst0KnAFBaWD9h49UTzXjSf5Cq2MBoRBFgwcjzpk0e0pMoyk0pn8/M8YM+a7freNGfNd8vP7v2bodNZz6NBFOJ31/T5HfyIHtbX36J6DsWfPHLq792C379MegNdngW57d/cedu+eohuXxTIrYPLaYITc/U1SCgu3a/+WJClo6ZnkYeAKC/cSEzOLwkLVuB4+fJjzzjuPs846izVr1ugmJ3/+85971p7BZMriwIEl2Gx7I/a+AmEzeLRyNI5OCV9hkAUDx8NDdgkPOSL0V/c5UPLNSKWx8WWam9+gsfGVkPaPVOTAaJR0z8EoLNyh/TvQZ+Ed9nXjOS67fRfFxRLFxRJOZx0ulwtFUbBY4iMecg80SYmOVjtxGY0Z2r7ujPH169fT3d3rvQMYjRlYrQrR0ZMB1cP2pL5enUh5T07ceHrYg41Z9lg2OXBg0K83GAiDLBg4HmvIwiBHhpFcOhNJWlrUTketrW+EtH8kIgcVFbfrjFVFxS+DXjMqKg+rVcFsnhzws7j11lv9HhvIUHkTbsjdk/5MUiRpIqCG0s1mM4qicNVVVyHLMmazWfPeCwoO6q7l6WGH07yksHDwPWSDZ1LXuNH1/4EbYZAFA8czZC36IUeUmTN3M378H4Im34wf/4cR0YQhXByOOtraPmbBggW0tn6Ew3G8z2P6FzkAiGbHjmx27Mimru43OmNVV7da27ZjR7aWxOTNuHG343Q6aW5u9vks8vN7ZUjDGdfkyRsHnKzXn0mK07kVRVFwuVw8+OCDujXkBx54oMd7t/iUnrk9bCCkiaK3hz2YSHhUDfSMZ7QhDLJg4LjbLypiDXkwCEWucaSjKA7a27fQ3v6p9jh+/HHNMEoSHD++Tre9vX2LTlEKwo8cuHG5qnE6K3qSmXw9V/e2YCFWz3Cy92dx1VVXaZnGwcZ14YUXauurMTFWamvvGnCynjpJ6SXU5Q1QE/H8rSH3hSRJOJ3OoBPF1NS7mDvXV3hmsNCtIY9ShEEWDBxdlrV5mAdz4jFadZ89aWp6nX37FrBv35nao6ZmNYsWLSY/P5+FCxdTU7Nat33fvgU0Nf3F7/lCjRy4k5Cgb881NTVV29dfiNUdTjYajUESoeIxGGYGHFdnZ6f2d6SS9SyWbF02d6jLG5Kkvh/3GnJGxj061TFJ8l/K1tXVmxkebKJoMGT4PX5IGKVKXcIgCwaOuwhfAUUSX6lI4y3XOJSlM5EiJWU548appUK5uXkehlFdO37rrb96eHF5SJLEuHF3kpKyPOA5Q4kceCYx9eVRNzQ0ACBJ0T4hVu+wsvuzmDBhrc6IQQdRUTkoisLmzZu59957dePyJFLJet5j8xdS917esNmaAbfqWAxWq0Jm5i+xWhUkKUYz8O79PImJGYOiSEDwLO2amtGnJT3ciF9PwcCJjkZBXUPO7D403KM5oQik+5yV9ZT2uud+IxVJMjNx4n1Mnfoe1dVdLF9+SQDDeAnV1V1MnfoeEyeuRgqSJBhO5GDu3GOkpt4V1KN230tFsfWZJAVqyLmp6SViYqyozQBV2tr+pv377rvv9hsKDhZy3717N8uWLePo0aM+yXqhJHABlJSUMHPmTNLS0pgzZw6nnXaabnkjOjoZRTESH7+coqJerx2gqKiT+PjlKIoxYBtN1cNW/92Xhx1OzfdAsMi23j8cQ9hGMoIIgywYOPv3u5v0cCRAj11B//CWa3TjXs90uRS85RpHMgkJC5k+fQddXfGsWbNWt23NmrV0dSUwffoOEhIW9nmucCMHUVHZAT1qRVE0LxMIIUkKr+0KEIV37zyj0YjFMtfLUElBQ+533XUXDoeDhITlPsl6oSVwQVVVFXv27KGhoYGdO3eyZs0an0mK1epgypSX/d7bKVNeDtpGMxwPO5ya74FgN0T3/rFndJX/uREGWTBwMjO1/Eaz0j2sQzkR8af73LueKYWt+zzcSJIFh6OGZcuWehnGC3A6a5CkqD7P0Z+OUeXl1yLLMgcPHqSgoID169dTUFDAQw891DMuvZcJ4YWVZ80qA/Q5FC6Xi/T0q7XMZPe4Ghr2ayH35ORkJEniq1/9KqWlpbh6kiQdDl+Fq/5mmdtsqvcYqeWNcDzscGq+B4LJMwGw5x6ONoRBFgwci0XzDGyG0VluMJqIlKZ1c/MmiouNNDeH3qkJoKHhVYqLJRoa+tf3uqXln8iyXQs1b9iwQQvpulzdtLT8s89zBIocAAEbPbhDqL///e91+7sbI7i9zMWLF2vbQsvkjiYmZh4HD34do9HXELizpmNirLhcCoqikJAQrYXc//rXvwLwySefMG/ePA4dOsSCBQvo7NzpUwrWv/p0ZVDaWobiYYdb8z0QomUPLWurddCuM5hIiuIdZBEIwuT553H+7jH274dHMx+iOIRwoyA0BqOhvJudOyficFRjNk9k9uzKkMe0bVsSstyKwZDEvHnNIR3jdNZTXr4SRXHQ2fkpdnuFtu3TTz/ljDPO0P62WLKIjT0DSTKTnf0wJlNayGMLhM3WTEnJGAwGQ4/zpOCvBWFcXBwdHR1aC8JLLrmExsZGFi9ezDvvvKOdb8mSJbz77rsoSjTQ28hAkiTmz5/PF198gcvl6mm24GukjcYxuFyNPf826vY1GAzaZztu3J0kJp7veSRxcVYkyay1dgw0Nu/Wju62loMVUbHZ9rJ//zIUxam95nRW6N6P2hI0S9suSSamTdtIdPSMAV9/eudW7jh6NXl5EHXlFXDj4DYaGQyEhywYOE6ntoYsI4RBIslgalrLcl3Pc20fe+qRpI6e59A9rX37FtLU9ALNza/gcFRq3trixYs5/fTTNa/UaDTicFTS3PwKTU0vsG/forDGFgjPEKvV6gzZy2xoaPC77nzaaaf1GBe9IpQkSSxatEjnFWZkZDBlyhQslt4GHMnJN2j/9twXej31RYsW+S0FKyu7nuJiic7OHWHVp/enrWU4eDauGGjN98mKMMiCgeN0amvIQjozsgyWpnVT01vIsqvHELhoavpHSOOpr39OZ0Dq6/8c0nHTp7+PwZAAQGpqKs8995zf9/Hcc8951ANHYbPt0houDLQBg3eINZRaZkmK85vJ7d7f6dT3/46NjeU3v9ErgdXW1nLw4EHs9t663oaGe3BnZnvuazAYqK+v55RTTqGhoYHZs2fzwgsv6ErBGhtf6DnH70dUffrwy2qOztpjT0TIWjBw/vAH7E/9kYMH4YHsP7An7ivDPaITjt27Z+Jy7SM+Pp5XX32VJUuWaNveeecdLr74Ytrb2zEap/tk5nqGi920tm4E2rVQoiQlkJi4TNsuSWbGj19FRcXPdce1t3+MweD0CEGaiY//qu64nJw/4nK1sn//uUyb9h7R0dO17QcOXEhn58Y+30ds7DLa2t5BUWxIUjRFRV1s3Rqj+zsSNDX9g7KyC1m7di3nn38+jzzyCDfddBObNm3i1ltvRVHUNV83WVnrqai4Bgj+s7l48WI2b97Meeedx7vvvtvnvi+//DKFhYXUuWv6vYiOnkB29oskJCxk+3aT33C499gkSaKoSPZ7vsFk+/ZxSFJDn5+xoqRGVMlreuc27jh6lQhZC05yGhs9QtbiKzUYDETT2jNc7H7IcqsulCjLrbrtTU0vUFJSRFvbJtrb39MeYPcKQdp129vaNlFaehpVVXfgcFRRVXWnbixTp77FpEl/D/o+Jk36O1OnvuXTcGEgDRgC0VctM/Sdye2mL6/Qc3/vfV9++WXq6uq44447fDxISZqglYJ5J/QBAcemKErEWzqGQig134Mjqzn6fUvx6ykYOK2t2j/jXS3DOJATC+8s6P5qWnuGi0MNJRoMiRQU7MStdxx6CNJCfv5WOjv/A6A9e2IypQZ9HyZTuo/hOXDg4ohklnvTVy2zoihBM7klKZ6srPWAPiO7oaGBBQsWcPbZZ/PNb36T8847T0vYysvL81m7fuMNVbHsySef5LzzzuPw4cPk5eXx8MMPI0m17Nt3XkARELM5S6d7nZ//ZU+WuUqkWjqGQ7Cab0mSiI6eEvlregqDjFKEQRYMnKzerMluQ8wwDuTEorz8x4BMefmVQP81rU2mNObNayUx8ZshlcokJn6TefNaiInJx2rtJjb29JCOi409Hau1G6ezFoejmQULFuBwNNHVpa+nPXr0xz7vw10PLMsy+/adQmXljSiKQmtra8/za14NGK5n9+7ZITdg8Ecotczquu2v2Lv3G1ov49271SUZd5KU2Tweg8HAt7/9bc0rnDdvHlu2bKG4uJiDB3tbGC5atIiDBw+Sl5en7VtXV8fHH6tdr9zynaCKe6ifrQubbXtIAiXuhL7s7DWaR96fiMJA1bXcNd+BvqtHj/4o4LH9Lcfr9hQGMY3OXBZhkAURxR6CqIMgNLyzoAeqaR1OuNiT/PxPycx80e9xv/3tb2lubiYx8fukpn6PuronKC+/Tmc8y8uvoa7uCe3R3b1Hex92u4IkqbXC7npgz9DjHg/FJW9D1N29K+zMck9CrWVubn6Zjo7epLfu7i91+7onSpIkaV7ha6+9pm33jC68/vrrbNmyhcsvvxyAGTNm8Ktf/Uq7X55NIszmM7XPNi4uLqyEvoHWqg9UXctd8x1u4wrwnYiGiq7CY1N4xnykIAyyICKM/tWbkYV3FvTx468D4SlT+SOUcLH/49L9HtfdrSqzNTY+Q0XF9VRUXE97+8c649ne/rG2raLiekDBaDQSE1NEUVE3M2fuwTOT/IUXXtBaGUYys9wf/lTQ3Lg94MrKGzEajTpj6Yl7ovTaa69pSmCBxEU2btzIggULuPPOO1EUhXXr1vHEE0+wcOFCnnzySZ0RbWvrTQbr6Ojgoosu6qOlY5QmUDLQlo4DUdcaSOMK9X76luOFkmHvlMwobpM2d27Y4x4JCIMsiCjKKG17Npw4nfUcPnwFhw6t0B5lZVd4/aBeiaIYMBqnEB+/iMOHr8DprAcCK1P5w1+4WB9K/GGA4/yHy7/61d4M61CNp6JYGD/+YQoKigFf9akbbriBf/3rXxQWhqNG1duAIRJ4hk0VxYbL5dIZy927VSUoz7C31PPd91YC8+wbvHx5b/cqg8FAUlISqampbN++nccee8yvfCdEAxZaWlq4/fbbdVv0LR27I1KrPlB1rb5kNS2WM1AUBZtti8+xgcrx3OvgwdbDLUo3Ej1Z5WkDF5MZDkTZk2DgrFtH94bnOHQIfj1pPftii4Z7RKOKPXtmYbP5Zkf3VToTHT2LwsKdYV1r61YTihJY51eSTBQV+a45bt1q8Cj/MTB58kuUlV0K9JbVmEwW4uNjg5S6dDJu3G/IyFgZ8Pre6lMbNmzgmmtCV6MaKK2t73HgwGK/27wVp7yRJMnv6+5j3aVVBQUFAa+/ePFiioqKePDBB/1ulySJPXv26MqzVq5ciVqDq/SpPHbNNdf0eNMGZs2qQpabh1xdy60QZzKNJyFhcUjleG1tr2ulXjNnHvOr3iaUugSCk4j+Jpv0RX+zoKdP/yis6zidNkDWwsVGo5r4YjSaev42Aq6e/XpxODp79jNiseRgtbpITb24xyvN0bzD3Nz/0tra4Xd9urW1g+nTdwY1xuCbSf6Xv/ylX5nlEH5ikt1eHtAYg+8atjfextj9WSYlJWnRhYKCAs2T9t7P/Zl7NrvwLoG6/vrrfSIboEpxhqdvrUYUhkNdyx2SVpS6kMvxPD32Xbtm9X2RURqpEwZZEBHcX3/pBA649DfZpC/6mwVtMiWHeZ1ozOYcxo9/nPHjf6kLDY4ffw/jxz+O2ZyDyRStO85sjsVgSGXs2HuYNeuwbtusWYcZO/YeDIZUoqLSAJdf4wkubdIRDO/Q+DvvvNNvNapwE5P8hXC9jeX555/Pu+++y+mnn84tt9yi7ec2su79AQ4fPsx5551HS4taCuhZSmUwGLRjvD9z9/q5wWDwaGCh8vvf/z5gQl9/atUjpa5VU/MwxcUSNTUPB73H+pC0jBqO7732u+++S0tLC6eccgr19fU9XrKkC+XLcp3f9XBR9iQQnESEq/0crtRjf7Og+8JzjTo29iu0t3/os0ZdVnYZ7e0fEhv7FQ4dWqFbowaYO/c4Eyfe4ff9mc3pzJ17nGPHHvAynht0xvPYsd/2OVbvTHK30XL/DYScWR5KYpLnvYmKOt1nu7exdIfNP/vsM5555hlMPeU1iqIgSZK2/7///e8+3qdMYWEhAKeeeqr2mf/sZz/TeYPNzc0kJd2AJEkhJfSFW6seHT0Dq1XBaMwIaTJoNGZgtSpER0/Wnae6+jbds/e9DZQbYTBYMBoncPjwYZYuXcoFF1zAl19+SXFxMdu3b2fPnj0oihLSerhT8mh9eeBA0Ps/UhEGWRARTly/WKUv7WebbR87d2Zis+3TXgslEcWb/mZBB6O/Sl19NXbwfn8tLX8DVOMpSTkUFpYCkzXj6d4eCO+64Fmz2rS/QdJC47NmtfaZWR5qYpLnvens7P1M3YbWMyGrdyzqc0tLC0bjPCRJ9fIURWHmzJna/jNnzvS5nqcXmpKSAsDnn3+Ooih89tlnfhO7GhufRlEUXC4LimKkq2uXts07oa+/teoDVdcyGhXds/e9Dfa9c7mqtXvtdPauZYebYe+SPLLfp0ReeGQoEAZZMHA8wtQnQpZ1KDP7srLLdNv371/iIxXZH6nH/mZBB2Ow1qg9358sO3E4qjEaTaSnr6SwsJTo6OkUFpaSnr4So9GEw1GFLDsDns+7Ltjzb6tV1hkeT0Mky5Xs3JnLjh3Z2qOuTt/goa5utW77zp252Gx7A96b3/3ud9q43BOkU089VWfkFUUhOnqGdh+MRiMLFy7U9t+9uzc0bDKZdB700aNH+fjjj3Xvv6ND7aLlvX6rKO4OTV24XDWUlOiTJj27OIVTq97R8V+2bk1i69YEtm5NoLZ2ddDJYG3tarZuTaKj47+661dX36+7L9XVD1JXt6EnUTE8pbeoqCg+++wzkpOThy3DfjgRBlkg8KI/HqUsVwG9UpH9FWbo7i4BekUz8vL+RXe3rP2gureHw2CsUXu/v+PHN5CScjl5eR+QlbVWt29W1lry8j4gJeVyDIbgCkredcGef3u3D3T/PZDEpED3pr6+N1wvyzI333wz//vf/3y815aWF3T3Yf369dqEyjN5y+35TZkyhZaWFh5++GHuvvtubXs467cFBXrlM/fSQXX1OiD0WvW9exegKK0oSjuK0g44+9D1dqIorezdO59du2Zoj5qaO3T3pabmNioqru4ZnR2I5/Dhw31+7wB+/vOfs3DhQpqbm5FluV/a7aMZYZAFA8fjh+dESOrqj0fpcrmIjY3Fbm+kuDhZk34MR5jBOwu6qKib5OQLKCrqDpoFHSpTp77VZ1jS3xq13V5OaekC3fj9CU90de2houJnft9fQsIZ5OQ8169x90UkEpO81+/vucd/Ilh8fDyXX365ZlRA3z7R7eW6J1CeIiKSJHHmmWdqXujFF1+sKXaFMlEyGFKwWhViYvThWPeSwbFjPycU5TF3rfqMGZ/r7pv3ev2dd96pU9fyxG7fpz3Ad/KjF1FpB6KDfu/cExbPiahb/aw/GfajFWGQBRFh9AeqewnmUXZ2dvLyyy/zxBNP8M1vfpOysjLtuF6Bht4GG+EIM3hmQbtFM9wUFBQHzIIOh7q6R8Neoy4pmUdn5xbd+AciPBFpIpWY5Ll+74nbyCcmJtLa2kpxcTHt7b3r1u77cPbZZ2vJV0DPum9vzbcsy7z44os6L/SFF9TexrGxsTqD5Q59L1++nJaWFlJSVjJvnv8ENs+lg1CUx9zExZ2G1aoA0T21yfRMBmNQFIXVq1dryWnu9fspU/7nc1+8Jz933HGHT0eqyZNfC/q9671270TUaBwzovo9DwXCIAsiwuj3i33xl/W8atUqrrrqKtatW0dXV5f2g+MmNzfXR2IxHKnHWbMOkZFxrd/xZGRcy6xZhwb0nhSlMew16oKCbXhKWw6mlOVAGGhiknv9/tixY7pws9vIr1u3Lqik5z/+8Q8yMzP5yU9+orsP0KvvbrOp0Q3PrHGA1tZWncH64IMPdK9HR0/zO+aBalYDWK1dpKT8uKez1RiPiaV639SyoywUxUhSkhWrVcFsnkx5eTkXXngh3/nOdzj77LM55ZRTOPvss7n//vu9QvsGysqWI8syDz74IAUFBX7C4WafiWj42u0eboFHQ4/RhDDIgojg/l/hREjq8sQ769lmszFvnur5ef4ot7e3U1hYyOHDh3U/kFOmTCE+Pp6f/OQnw56I0tT0lldY0hXSGrW3tOVITrQZSNs/93t/4IEHUBSFxMRvI0kWLdP6xRdfxOVyBZX0fPrpp3n++ed19yE3t0S7797lS9A7cfOcKHlO6tQs8WtDXjoIR7O6977lYjAYuP322/3et7Fjf4rV2pucOHv2EdLTH6Czs5O9e/dSXFysPfyVKYE6+XA3EJGkBN33TpIU3UQ0lE5cnvsBuDybS8SMzq5zwiALIsqJsIbsiXfW8x//+EdKS0u1nrXnnXcep556KpmZmVRVqYldnj+Qhw6pHu37779Pc3MzTqeF3NznB33c/jLFDx++FOg1AAZDLA0Nz5GU9B0MhpQ+16j7Izwx1PS37Z/3+r3VqjB16l8pKuoGknVG/owzzuCuu4J74p73ISUlt0cMZBzea7xWq4KijNWOd3uD3iFfSXIN6tLBsWN3Br1vNTWrfI6xWDJ7xqYXRQklejJz5v6guRGhduLy1G434pHBP3Fin+95JCIMsmDgnGBesSeBsp7dakygJvI0NzfT3NwM6BNcfDsEdVJaeuqgj9tfpjh0EhUVxeOPP87ixYt1meKy3ITL5UJRTEHXqMMVnhhq+tv2L9j6PTT7GKt77rknrPtgtSrMm1fjs8bb3PxPTXBG/z702dzqenRviDbSSwfu/4Xd9y0l5cde9833GPfk5s471VK//kRPguVGeN6rsrIbKC6WKCu7AfBdDwcwKB7LR6P0N0kYZMHAOcG8Yjd9ZT174u8HMjY21sfTAcjPH/y11UCZ4vX19Vx77bUBa4/nzPE1Dp70V3hiKBho279A6/fe2cexsUuQZTki9+HQoa/j2aDDTV+62ZFcOujoUD9z9f4YsFoVcnOf7gmpG7T75t6vl07tvgDExFzYr+hJKLkRDQ2P65794ZKCl9SNBoRBFkSUE2kNua+s57i4swEwm81a+Hru3LmMHTuW2NhY3n77bb/t9EpLiygujqW4OI729k8HaeyDo48dfqLN0NFX27/4+OUoipHo6OSQz9nSoq6/uo2S1aqQn/9vHyOdlvbbft2HvLxedbBwSraSkm6K2NJBXFw6iqJgsZyG1arvBKYa9NNQFIW4uN4M/O7uVkC9LwZDIlarwtixPxi06EmgXtSeSJ4TG9l3kjMaEAZZEFFOtDXkYFnPDsfBnufeZBe73U5XVxddXV1AIE+nq+fRyb59Zw7SyFUiqY/dn0SbocZqdTBlyst+t02Z8rKWmBSqznhSUnaPTnWWloTleR/cP6GTJt3Wr/tgt1dr/w5l4qS+R4WkpLMjavysVoWCAv+Tw4KCT7X37iYqKhFFsZCU9CPmzVPL/AYrenLkyFW6SNORI9cF2HP0OwPCIAsE/cBbKjIxsfdHIhxPZ/r0bYM+1kjpY/cn0WYk4WmEw9EZt1oV5sw5ov2tl/R06YxVuPfBfX1JisZsPjPoxMlsPlO71khYOrBabeTkrNf+jkT0pLNzK9u2pbFtW4r2aGx8Whdpamx8Urd927Y0Oju3DsI7HHqEQRYI+oHBYNJJRba2PqVtC00m0IzVqhAfP3fQxxpJfexwhCdGGp5GuD86455E6j54jiMqSs3G3rx5M9/4xjf8lGzla8eNtKWDSEVPSktPRZYbkOVm7QG+kSbP7bLcQGnpqSjCQxYITl5ycp4jIeEMQK2j9CSYpxMXdzFWq/9s38FgMPSxB4Nw21WGi74ZxsDENCKBt6hHc/MftW3/+Mc/fCZOTU3qOEfi0kGkoif5+V9q/w4n0uSTKOnRNWo0IQyyQDBAOjvVRgSeiSfBxSnyg50uogy2PnYk6U+7yr5wi2ls357l06kpFDGN5uZNFBcbaW7eFJFxBBP1AO/kpQSv0iPVA/Q2frt3f4XiYondu78yrEsHkYgaxMYW9WTFx4e0pi5J8VitCrGxM/RJXT1SoKMNYZAFggESG5uGoii6H/xgIeLa2jv7PmmEGAp97IHiNnqKok4K+htGduNp/HbtyqGzcwsuV6WP8ettEhFYTKO8/MeATHn5lQMaU2iiHniVybVhNI4Beg11c3MZoDd+3d1f6p5H+tJBKBQVtZGUdG3QSFNS0rW692lSPL43htFp2kbnqAWCYcRf4gn4ijn06hWb/Ho6Q8Vg62MPFLfRAyISRvY0fp41vt7Gz7tJRO/n0ium4RbtkGV9GDZcvPXAH374YWJiYvjkk0+IjY3lk08+0cbg+R1yuTqAmB7RFgWTqcrn3KGUBI1GoqJy+og0zfB/oALk5Q3pWCOFMMiCiHBiFTsFJ9TEk15617PcP5rt7f4bHJwMeIdv3cbOaDQOWJMZ+tsMQ1XD8hTTaGp6C1l29UwSXDQ1/cPP1ULDWw985cqVdHV1YbPZtGfw9x3qRi2RU/Euk9u1a47Oq96929rvMY40qqtXBY00VVXplzYcUlSAM40eJEU5wQpHBUPPunV0b3iOQ4fg15PWsy+2qO9jRjGdnVspLVV/+HJzc3nqqaeYOHEi2dnZxMXF0dHRQXl5OVVVVVxzzTVaa7ukpMtoafkzgE9d58nE9u2pOhlISZKYP38+W7Zs4e233+bRRx/l3Xff9TnOaBzD3LkNIV9n9+6ZuFz7iI+P59VXX2XJkiXatnfeeYeLL76Y9vZ2LBYLnZ2dxMbOx2KZrO3T2roRaGf37t0UFhYiSQkkJva2ZpQkM9nZD2MypYX1/uvqNlBRcbX2dzjfIX8YDAZtjP5+znNy/sKYMd8Na4wjga1bDbr3k5r6U51SlyRJFBX1RkCmdu7grqM/Ji8Xon50Gdx885CONxIID1kQEdzBvhNNGMQf/U08cRvjkxV3w4u4uDO019TWfr1h2ssuu4ykpCSWLl3K2Wefrd3T/rRzDKUZxl133cV9990HQGfnFp32tyy36jxWT+3v5uZXaGp6gX37FoV9H8zm8RgMBn73u99hNptDFAQxBzxfXzKbR45cFPYYhxt9oqQJq1Vh8uR1PRNZkxZpcu8H6MueRunvkDDIgoHjsSYqnUTB63ATT07Utb5QcTe8aG39u/aad6u+1tZW3njjDf71r3/x4Ycf0tHRAUT1u51jX80w7rnnHpqamnTHhBrmNhgSmT79o7DH5CnqYTAYtPaOfZXJ5eT8JewxAuTk/DvsMQ43aqIkREefo2v7CKoaW3T0OSiKut+JhDDIgoFzkhpkCD3xJHT5vxOXQA0v/BmUjIyMnqNMzJkT2nq7vxKlvhStZFnWJdtFWvvbH96iHnFxy4J+hwyGWADGjPmuttQRjszmmDFL/IwiMgxm7bjVKjNjhu/SBcCMGe9iter1qg09CXyvNzUg3XILr776asTHNNgIgyyIKCeCWk44+Es8KSgo4I477uhJPPnpSSf/F4hwGl7U1roTvZJDNnr+SpS8jR/gk/HuKaYxadKfI6b97Q9PUQ/35KSjY2PQSUNTk97YWa0KRuO8oGM0GucNSZ7CYNSO9xe5x5z9pEadjFxzzTXDOZx+IQyyIKKcbB6yW6HL/YOfmvpTAK25BBCW/N/JQCgNL3rD+k2+JwiAd4mSt6KVJMUzduwtWK2Kzgjn5x/SiWlESvvbH56iHkpP3ax35yjwnTR40++SoAgzUAnSwaCj5355lrSNFoRBPgm47bbbkCSJ2267bfAu0vObcTJ5yIEST/LzewU4+iP/19DwKsXFEg0Noy/kFirBjJ63yEoo5Ub+SpS8Fa08xTS8Fa08xTRC0f4eSKjWPQ5PI6Z+hySsVgWrVWHatA89Xoeamjd052htfS3oGFtaXgh7XN7YbPvYuTMTm22f3+3e0p/DJUHqRkLhLUe9bkx//vPoSqQc3rInpxO2bYO2NjCbezPjZBnq66GrC8aMgehodZv7Icv6v924Z5KSpH8Ees3z9UD/9vzb83X3dUO9fdHR6qO+Hkx+Gml7jynYdn+ve47Hc3yAYcECFFSbKX/+eeAx9/Ve3G0GzV4Zn7//Pfbd+zh4EH6T/SSlcacEP88JRHGxgbi4RX7XuoqLjZhMhj7LblyuaJ3i0LZtSchyKwZDEvPmNQ/F2/ChvX0L+/cvZNq094mPnx/x8+/ZMxubbRc333wzjzzyCIqiYDAYyM/PZ8+ePbpSHognKelrHke7cLn0yXGRLFHautWEorh6jrOQm/sWhw9fiKLYe14zASYUxYYkRVNU1BXkbP6prV1HVdXPmD9/Pp9//jkQT3p6b4i1qek1XK4q7X6YzVlYLNPp6HiXuLjFdHTov29RUadqSl3qGPUlQf3h0KGLaG5+g+Tki8jKWsuhQxdrXj1AV9c2DAY8Sq4kYmLmeYzBTF7eq1orSHe5V1bWetLTrxrQ2AAcjhqOHPmRNqY4VxuNXV/g8vjumM1mvvrVr2rHmM1m/vjHPzJ+/PgBX38wGD6D3NEBy5dDXd2wXP5kwrR9Oy6XC6PRiHPu3EG5ht0BBw/Cb7OfoCTu5Ai9+sNm28f+/ecybdp7REdPp6zsBhobf8/ixYt55513tP2WLFnCu+++y5gxP2Hy5HW6c2zfbtI+r7lzh04k3+ms5+jRa5k06Un2719MV9cOYmLm9ghtRBZPo+ePxYsXs3nzZs477zy/Ncn9OSY6ehaFhTuDnsPptLFzZywGgwGLZY5ObrSkxIrdvgNZlpEkCVmWMRgMzJsX+H2AKoQSzJgVFBT06/248VwrLi6WMBqNyLLM5Mn7GTNmStCxBWPXrjHY7U1YLGNwudDVjoc6Rs/a8a1bYwY0ifFm584sHI7KsMeUlZWlJb2NNPy4akPEG2/gOlZHVSXYPHTtdbMDxc9rPS/0NYuQfP4R5jY/L/jzUUOZzUiAZFDlVWVZffR53WAnC4Sfwfy646gWwtmyZQs/3nGUX8ROCvVqwU6tDUXp+Y+CgRpL+Oc+kaiqugOHo4qqqjvJy3vdZ63vkUce4aabbmLp0qW89957Pmt99fXP6T6v+vo/k5Y2+L1tARobX6a5+Q0SEs7B4SgF0J4jiWfDC4OhEJfrCLLc5iOQAWp431sgQ5Lie4x5V8jHhFqi5Nb+Tk9f5SM3mpZ2bY+gRwyKohoUd6g2IyNw1nxJyTy/xmzRosXk5+dz1lln8dFH6tiCvZ9Zs2ZpEzWXywWMwWrVC6VYrQpbt6ajKMcHZIy7uvbgcDRr38O8vM0cPLgEkEO+59614waDA5crcuvN+flfsHPnZMAe8pgsFgtbt47c5Mnh85DffBPlvvuoroaWFvj3mEtpMyYDkGGvoME8jq+2/J3j5gnsjpuPQ7KgIKFIEiAhY9D9DYomSiGpW3oSjHpeUxSv1934bnefw3tb7+ueR0u650BJTRbFRrTcSZKzEbsURa0ly2cff8cGTpLyfb2qq5rn6x/D5aHf26m0+yj5xEq9XWAMGLg87SYmxkwMcB09ia5GHFIUXYY4n2274uZzMHZ2SOc5UfH0KmbNaqC42AjI3HXXXTz44IN0d3cTHR3NqlWrtKSd+PheQYf29o8xGJwen5eZ+PjekJskmcnJ+SNmc+RDbgcOnENr64fExs6hq2unpp41derHWpvJSLFrV57O6B04cCGdnRv7DO/Hxi7TMpwPHLiQ1ta3ATUh6s477+zzmEA0N2/i0KGvkZf3T5KTL9Be9/RuVW1sFbdRVJ+VoKFau72cXbty8GfMPFW5fv7zn7Np0ya/9+D666/nySef1D6TiRN/H3QSEA6y3ElDw0s6D76p6WU6Oz/VvodxcWeSkrKC6up7kaT6Pj8no3E6M2fu1rZ5hugjPf7S0jOw27/oc0xf+cpX+PTTTyNyzcFi+Azyzp3wox9R1WOQr5jxZeB1UkFIFBeb8dRNdtN36MvkU3wvCJ+urj2Uls7SfnTy8/dQWqqXM/SW//NHX5+X2ZzF7NnBQ25lZTfQ0PA4qak/9QmJe+JytVBT81uczhYaGp5g/Pjx1NTU6CZxJlMmKSn/px0jSWbGj/8FRmNS0DGES3PzJg4fXhYwvJ+bu1FnLKFXhtNisWgZyn0d44+dOyficFRjNk9k9uzeMKi3zKcbT7lPfz+h/mQ+Q5HybGlpQVEUEhMTmTp1qra9uLjYa2IdfL02HMrLf8Lx43/weT3Y91CSpICf07hxv6Gl5c0BrTeHS0PDqxw9uiLgmF5es4aLV67s17mHkuHLsn76aRxOcPT0aTcSfB1G0DcFBb2hmHCyewsKIh+WPNGR5U6OH3+aurontEd5+XW6WmM14UTpKVsxkJ29gezsBzT5P09C/7ws5Of7D7kdPnwlxcUShw9fqRl9f8ZfURy0t2+hvf1T9u9fTG3tb2loUDNka2pqAH2JlsNRQV3dWu1RW/tbDh36P5/zDpT+lRu1AmroeCAlSoG6OuXnf4F7cWbChAn87ne/47rrrsNgMPDMM88gSRLXXXcdv/vd75gwYULPURL5+dt9rhGKlGd6+q/Ud9XaSnFxsfYA77K5wC0jwyUz8yFNzjTU72Gwz6mm5r4QWk1GbvxAT1lb4DFNePJJaG7u9/mHiuEzyMePI0lg65nUuqThW84+UYiJmYXVqmAwpISk5GMwpGC1KsTE9H+t6WSlsnIV5eVXUVFxvfZob/9Y96PT1bUFoMeDkikvv4rKSrX0zGp1EBd3LiARG3t6SJ9XbOzpWK3dmM3+M4Wbmp7RnoPJdDY1vc6+fQvYt+9MOjv/p70e6o+x2ZxFXt4bPucdKKGUG+nfR2+pk8vlYtasWX0e4w/vkqnjx/+kdaPat+883MtD1dXV3HzzzTzxxBMsXqyu/y5evJgnnniCm2++merq6p4zKnR0fOL3Wn1Jeba26kProU/Uwtf6dmMwxDJjxidkZq6lvLyyj+9hJZIUE/RzMhjMhN9tq//jh74V2S4rK4PFi/t9/qFi+ELWf/0ryv33U1EB7e2wM+501mQ/NixDOREpL7+N+vqHAoZw0tJWkZ39wDCOcHQjy53s37+Ejo5PQ+7WExd3JtOmbcZgiPY5X18ht0mTXiY19eKgY3JnZ4M+pJqScg05Ob01oorioLr6Hmpr7ycnJ5ennnqSp59+mjfeeKPPdbjk5KuYNMk3vBkJ+io3AkhOvkT7t3epk6IoxMaeTWfnR3jmWHhmITud9ZSXr9SFU/2dxx+hfM5HjhwhI+MOJky4u6c8So87BB4op0CSJI/rS5hMxrDXaweCzbaP0tJZnHvuOT7fw/fe+4D8/F2UlOTr7lFW1noqKq5By7mRJHJzN3Lo0FIAkpOTB338+s5QBiZPfomysktx98OWJAm5qAj+97+A5xgJDJ+H/K1vIQFZWWpZ6+yOz3i+9BQSnKEr8wgCExU1uQ8ln2nDPcRRTbheRWbmWmbM+NivMYa+Q25m8wS/x3V2bmXbtjSKi824XC4MBvV/6WAyndu3jycl5TtMnfoe1dVdLF9+CT/60Y/4+OOPaW1tDRBObSUv7+NBM8aemdcxMUUUFXWTnHwBRUXdxMT0tvMM1o1JvR8f4p3wqJ5bxd3goq/zeJOZmUlLS0vAz/miiy6isrKZqVPfY+LE1X6NMfhKeWZlrcdm69YS/ECNaiQmfh2rVe4zxD1+/B9CNmbt7VvYujWG9vYtAfcxGOIAl9/vIbhwOiVtjCZTOlarQnr6VVitsk797OjRH/WcLzli4w+Ew9GpjcliycFqdZGaejFWq4to86TezlAOBzz77ICuNdgMn0E2GOCll5CAnMkwcSIYDXBP2feZ0/4p2bb9wza0E4HKyhuDhnAqKq7t+ySCPsnIWMn06Ttpbe3w+6PT2trB9Ok7ycgInlDSV8itrOx72r4dHf9l69Yktm5NoLTUiiw34E7mk3tq6kKR6UxIWMj06Tvo6opnzZq1JCWpSVr+JwVqotJg4S43Gj/+cV3tL0BBQTHjxj2Eey039DBoNAZDNiZT7yQolAYXph7hHs9w/6OPPorL5QpoXFpbW3E6FRISFgZ8j95Snv6MmaIoTJjwHFOnqh2x+gpxh5MEVV5+LYpio7w8cHbzsWMPeH0PN+i+h42Nj+OpfuaJp/qZohwHQJLag47f5Wrvc5LQF2ZzLAZDKmPH3sOsWfq+0YWzy/iJNJZkxYCzywyPPw7vv9/vaw02wyudOW0avP02pnmzSEqE9HRIc1RzS8XPuO/Ipdx+9BqybAeGdYijFUlSQ3/umfjYsT/30scVSXSRoi+vwm0AvPHsTuR0qpm96uflYPLkV7DZ7Nrn5d4OsHfvAhSlFUXRa/X2R6ZTkiw4HDUsW7aUK6+8so9J3OA2EJg165BP7a+biRNvxWqVw+rGZLV2MW/eUd15+mpw8e677+JyuTTpRZNpEpIk8eSTT9Lc3BzUuLi930B4S3l64jZmkhRPenpv3XnfE7XQa9RDqS1vafkbQE/4PIfCwlJgsvY9bGn5m06C1Jvs7DXk5LyoW5MPNv7q6lv7nCSEwty5x5k48Q6/23YX7uKT2LkcqwWnC1i1akDXGkyGX8t6wgT405/ge98jOUU1ypMmqS/PcRVz35HLmN3+2XCPclTR1aWWaagzfAtWq+KR3WvRZv7u/QQDoy+v4tix3/o9zt2d6OjRHwP+Q24WS07P56VoobkZMz7XzuE2wrGxsSEZKkmKx2pViI1VBUlaWv6JLNtpbGzskXBEW8sEsNsN2o9xR8fHEb934RJKY4pQujFNnfoWEye+QHNzM1dccQUrVqxgxYoVXHHFFbpwv8tVh6IobN68GVAjEOXl5RQVFfUYl1O0zxl6veBA9GXM0tNXUVwsUVl5b8/1goe4ZTn4/8PuSV9NzUO4XI6eBDg7bW2+9biy7MThqMZoNJGevpLCwlKio6dTWFhKevpKjEYTDkcVstxbWul01nP48BUcOrRCe5SV6e+h5/hjYk7VOQZGo/o9GwwBGjctpjRshlhkWQ3MjmSGV8vaE0VR4/sbNoDdDhYLcred8qNQ5Uhn9aSnqbf4X0cT+FJcbCQh4WtMm/a2z7b9+79JW9s/sVqFlxwJdu3KxG6vAiA6egZ5eW9y6NC3sNn2AmCxZDJrVoXPcdu3m3G5nBiNJiCZsWNv8jvLr6r6NcePP8Lcucd1rxcXx2AyObWkn7///e/8/vfhyXQePnwRTU1qxrTae9eAwTABh0Mdb0rKRbhcNjo6/oUsy8yZY8NotPT/ZkWA9vYvOXBgPmvXruX888/X1M82bdrErbfeytSpXxIfX9TneXbtysNuP+zzeiiSlUVFRWzduhVJikJReuuf8/L+FVLdcyDcQjJgYNasFnbvTsRgMCBJqTqveseODBSlAVmWmTmztcf7VnHXliuKg+PHn+qJpBh0dcCBasvLy28kLe1qv0IwbW2fUl+/npyc57TX9uyZhc3muwbc9z00Ai5d8uFgCNC4Kej4kl+UX8e4cTAmBXjxRZgxNB2xwmHkzBckCX74Q/jgA/jiC/jgAwxZmUyYCOnU8e36yDfAPpGxWl1+jTHAtGlvC2McIfrjVYBvqc2kSX8KGHKbOPEOH2MMYLV2kZDwfc1bzMnRy3ROnz4dSZK0UKu3TKeiyLS2/guLJZnc3NeJiZlPdvarzJ5dTm7u61gsybS2bmTKlLfIzn6VmJj5AzbGkehkFW55VCBkOUr7d7Bwv78Ssl75RTu5ua/jXt/27MXcH9weo9Eo6ULc48ffp+su5d2typNDhy6itva31NWtxWDo0s4XSm15Ts5zAY1iQsIZOmMMoa3Jl5SU8Le//U3LUQAzaWnXIkkJXnX7K6iouFV7VFb+P1yuFu1aTmc9hw5dhNNZH/Z9LY21AmopsqwA//lP2OcYCkaOh+yP6mq45BKOl3dSXW/htty/CC9ZMOI4cuT7Qb2KY8cew2iMClpq09/uRFVV91NXdxdr165l5cqVKIqiK6nRY/CZiNXXP01CwnkcP/4ctbV3k5FxD5mZvwSgu/sobW2bSUsbmJHxJBKdrELpxlRU1LfynOd5TCaT3/KiH/zgBzz//POaFzd27C/Iyrrfx0MtKUnRoh1z5/ZP9a6i4naOH/+tx7XuJCvr3p6xht6YweVqYc+emTgclToP9LXXXuOiiy7yW5JnNmdRWFiC0Rgf9NyB6Ev6dNmyZVpJnid9edIJCUuYNu3fANTVraOi4kaystaRnv7TsMaX17Wbu8t+0Oshv/YaeORUjBRGtkEGeOwxXM8+z+FD8L/oM1ib9ehwj0ggCIv+h/VigG4ffWVPiosNgGqE77vvPl19qF5v2RW0JZ9nqDTU6Emo8pyeDLSTVajdmGbP7tRlV/d1ngkTfs2hQ0uJjY0lK6tXZ37fvn0+WvAWy/Sec9Qiy81kZT1JZeV1muHLyXmblJSvB30fNtte9u9fhqJ4rsdW+FzLZFLHoijVQe+bv/rq5uY3MBhc2vkSEhJYtkyd9NXU1PDZZ5/hcDhIS7suIuVswaRPN2/ejNGYhstVH3Ldvvckwa21npR0DlOmhJcpndNVwj1lVzB+PKQkM2LrkUdOyDoQP/gBxnHpjE2HWe1bGNuzVicYHEpLz6e4WKK09PzhHsoJQ6hhPb00YTTQharwFdhDdcu/9ybJ9IZVPRu1u+ns9B/u8wyVhkoweU5/eHaykmWZ+vrwm8f3VR41fvzjmM05AY2xO8mpvf0D3XlMplQAOjs72bdvn/YA3xIyu30fdvs+ZLkZgIqKa3Wh17Kyy3RJTocPX+ETZt2zZy4OxxGczgrt4e9a7m2e96229gm88VdfDQ7d+VpbW3nllVd45ZVX+PDDD3E4HFgseRGrLQ8mfWowGJgy5d+kpV0XUvJhWtp1zJ5drhljh6OOtraPWbBgAa2tH+Fw+C7hBOOesiuQJIga3vSHPhn5HjLA73+P65k/ceAA/D3lCl5NH9zyi5OZ4uLeH2RPhSPBwAmnoxG00NHxSY9X5D8M2tFRx75947yUpQxIUiyKny5fAJLW6cvA9OnvEBd3WtBQaTCCebvezeNheDtZuQnURGLPntnYbLu0vwN5cXPnzuXgwYM+5w23F7PNtpc9e/J9rgXwox/9CJvNhsPhoLu7m4MHD/bZWGLSpN+zb985fttYBvJAAaZN+y8JCV8Z4F3V38NAKmTR0bMpLNxBe/sW9u8/g8WLz/WTfPgeU6d+2COs0hupaW39N7W197N79y5mzpxJRsYdJCZ6Og1G4uKsSJLZ79g27PsqyZYucnJ6XhAe8gC48EKMBkhMgK81PM/5jS8N94hOWIJpIAsGRqglO5Mnb6C19UMPr8hFU9M/fM4XF5fuR+ZR1uqT/alPKUp7z6OVvXvns2NHNnV1v9F5eHV1q9mxI1t77NyZq2WMuzly5Cqd13bkiL6OtLT0K7S1baK9/T3tAXavMdl129vaNlFaelr/bm6IBGoi0d1dovs7kBf361//Wtsn1GiHv17M0dEzsFoVjMYM3bXOPPNMtmzZwvbt29mzZ49m/PtqzLB//3lB66u9PdBp01SlvpqaX0bgrurv4erVq7HbFfLy/kV3t6xFb9zbjcYkJCmwAE1Hx381rXX3o6ZmtdY/euHCxdTUrNZt37dvAU1Nfwk4tr+MvZ4uG7R39Lxwyikj0iiPDoOcmQlnncX4CWr8/9vHN2BUwl9/EgSnpORs3Y9saal/GUFB/+nq2qUL61111VU8+eSTlJeXoygK1dW/ZN++RQBeGaiXsG/f4p7HeRw+fDlOZz1Wq8KMGb0qR30ZCW/6CpU6nRU4HEfYsydfJ7/Z2Ph0UHlOh6MVd0erSHSyigTeme3uSY5btlNF/UlMSEjwO3F6+mn1fRuNxpAFSubNa8FkSvY7prlzj5Gaepd2rW3btmnyp/1pzBDKpM/ptLB/v6qEGKna8r6kT9UJvgun00ZFxU1Bs+RbWv7NuHF39Ghi53ncA7U87623/upxD/KQJIlx4+4kJWV5wPG927OtthZcck+m9bXXwm23qSW3I4TRYZAB1qxBmj+flBSIk9s4r7H/ZRMCaGn5N8XFJt2jq+sj3Y9sZ+d/fPZpafn3MI989OBPNKG6+jbdj9HTTz/Nddddp61XdnV9SXe3+uPqaSQVpcPDm3yXpqYXNcMdF3daz/JCdJ9GwpNwlL1AL7/pPT7f7a2AHLFOVpG4996CFe61XrVMKoaYmNOYM6eWxMRv0tTU1IfkowuzuWjAAiUAUVHZ2rU6Ojq48sorycvLC+m+RUUV9gjIjNPO11cby+nTPyYx8esYjUZkuZPiYoldu/rf+lC9Zuhr++5JwOrVq3E6Y5g+/XMcjmjNk+7s/JSJE+/Taa37vweXUF3d1ad+OKjdBF9Kv5nubjhwAA4fgtZW4L33oKxsQO89koweg2wwwA9/SHQ0xMfD/x1/XISuB8DBgxegrtF4PvyFOfX7qMcJQsF/oo06G3crF3kTehg0wScM6l2X7InbSKSk/NhvqDTQD77RmEF+fu8PbLjynPn5n5KZ+WLQMWVmvkh+vq9y1EAIpYmELLdq2xSlk66u/7Jv36IeIxod1IuDaLKzH+9H/2Zfysuv9blWVVUVS5Ys6VdjhlDqtKdO/TvZ2b1Ojd2+fQB3WyWY9GlGxrXMmnUIl8uOoti0Bhpz5zYRHz+fuXObtEmConThctl9tNb192AtXV0JTJ++I6h+uCebUi/jpin/xJ3jaHYneGVk9PctR5zRY5ABiopg+nQyMmBMgoPLah/mhzX3M6OjuO9jBTqmTNmk/TucH9kpU4ZfPnG04J1d/fe//10LdxYVFZGSkqLt6w5Thh4GbfUbBo2Kyu2jy5eaSOQdKvXE/YOfmnoXc+ceIza2CKtVQZLi+yXP2d9OVgOhP5ntnmu9kqROltwTp9NOO81LC747YgIlkmTXXSsj4x5sNhsbN27sV2OJUNdyx4z57pDnjBiNFk2Axt1Aw417kuApQOOpta6/BxfgdNYgSVH+LhOQRrNqfBXA6eyZHt9008DfWIQYXQZZkuCBB7BYZ5E5UdW9Xtz2V24vv4bLah9mQcsmpnduHVFrAiOVpKTze8KcUkg/siBhtSokJZ05rOMeTXg3Mrj88svJyMjg8ccf5/nnn6e5uRmzWc0KlWUZi2UGTmfgjkKhhEGPHbszqJGoqekV1vcMlfo33lN05y4qaiMp6dqg40tKupaiojbdtnA6WUWKvppIBFvr7e5uBdza4haioqL473//S3R0NBZLrxZ8qIYvGDZbs3YtSYrBalXIzPylVuEQbmOJcNZyd+4s1OWM7No1eyC3PGTy8z9jzJjv+t02Zsx3yc/v7V3gqbU+b56VDRv+qOmHu1zdtLT8M+zr/zz3DRwOqKwAmw3YOnJsxugyyKAmeP3pT3DjjaSNMzNtGowZA0ubXuK66ju54+jV3FJ5EymOuuEe6ajAapWxWBYF/ZG1WBZhtfoXlBD0TV7ey6SkXE9zczPJyckoisJ1112na0ZvNBoZO/YqQBlQGNSzLrm7u5uUlB97eXa9+/oLleo9vB/5nD8qKqcPI+6rD+zdycq785jTWUl5+W0UF0uUl98W7u0NSn+aUURFJaIoCi6XC7vdrjO2drsdl8vV87mFZviCER2djKIYiY9fTlFRp26bu8FHOI0lAq3lNjS8SlfXVm3sO3bE4HCU6NbU7fZdFBdLusdAJE4jQXOzmsi1evVqEhIuZ/bsGuLjL9PugXt7OByLmsRTE+5FAbptPV7yLbeoLvMwM/oMspsrroC33kL6zncYl6HqhE+frvZVntvxKQ8e/i4Z9vLhHuWoINQwp6B/VFau4vjxxwDYu3cv119/PR9//DEzZ87E6XQSFxeHy+WiquoWILhXtG/fGZSWLsDu57vd0aFOQlVjYMBqVcjNfbrH2zJonp17v0Ch0l7jbfe5RnX1qqDjq6rSawT4ax7f3Pxiz1b3mBSOH38IQHuOJH0lOXlPcpxOm7a0EMjYqqH2yf0WKPHEanUwZcrLutdC6Z3suZ8n/tZyy8ou8Xttf6VxoRw3FHhrrU+a9BQmUxqTJq3Xaa0rSvjOwhcJ51JnzqS6Ru1lpHz0EfQsZwwno9cggxqzvv12eP55uO8+jD+4gqREmDIFYqUuLqt9GKkfH9bJRlPTk0F/ZBsbhVzpQMjMfAhQ18RiY2M5++yzWbp0KUeOHAGgo6PD55jVq1cjyzJjxozRGUmw0dm5hZIS36xYd12yxXKaj/ylmol7GoqiEBeXHjRUKkkx2g++ez83kqRPSktN/amXEdeH/vw1j3fXAhuNBsaOvQeDIRWj0aC9FmnCXesNNWN41qzDfSYx9Rd/vZPr6jZQXCwxfvx9ARtLBGLy5Fe0f4eTMzJ58sZ+v4eBIkkGMjMfZdq07aSkXKTblpJyEdOmbScz81EkKfzvjMMQxUfJ3wSgpad/Rb3NxkUXXUR9ffjNKyLF6FDqCoe33oLVqyk7Cp2dcChmJo9NfJAmc2gZjycjW7cadAITsbFL6OzsVdAJpoEsCA1PBTRP5s+fzxdffKHJW7pbIM6aNYtt27bR0dHBhg0buOWWW5AkCVmWURSFWbNqdKUu/RuTmaSki3y8M4CDB1fQ0vIXrFYHdXUbqKi4moyMtdTV3YrBYMDlkrBaHbpzGY0KsiwzY0YdsbH+y5eamt7iyJFv63SfW1s309CwTnstNfVmJk1a6/f4/hCpZhQDoabmYaqrb2HChLWMH7+yX+cIp8FEIIqLpYCNNDzV4pxOZ8SV+pqbN3Ho0NeCarMPJf/v6LUU2v7H1KlgNMC6732PG2++mXXr1vHTn4bXvCJSnHgGWVFgxQpc+w7S1ATH66HBmMFdOS/SZkrp+/iTjJaWcg4dmtzzI+vS/U9YXCz11CrK5OWVkZTkP6tzMHAbgays9aSnXzVk1x0MnE4bO3bEaH/7kzbMz89n//79KIrCT37yE9at623W8M4777B8+XJaW1sBM1arbyh5MPE0BIrSTVzcImbM8JWH3Lt3MR0d/9HyDQI1PAAHqampNDQ0aK97y3wajZ4TaCPTp/+bmJhZYY89Us0oBkpxsRlwAibdRCYcBtqYw82uXfNwOHYE7JttNs9h1qxt/T5/IALJlg4Xd5f9gEJlN9lZYDLBOV1dfFhSwjnnnMP774fXvCJSjO6QtT8kCdatwzhnJmlpMCUPxiq1XFr3uxGTSTeSSErKRlEUJCnLZ0ashi+zUBRlSI0xQGXljbrn0YzJFI3Fkktm5hPEx5/nN+u3tLRUm5W7RULcrFmzhra2NqKjv8KcOdVDPn6DwaE9W62yX2MMMGPGu7rkv0ANDwCdMQbftUyXq87jUUNJSVFIY3U3j2huVsv6BtqMIlIYjYruOVxqa9f12WAiVPqTmBcJAsmWDhdvpf4Ymw2OlsPRdgcfl5ayYMECPvroI44fD695RaQ48QwywNix8Mc/wq9/jTnOQkYGnNGykXObA2udnsxYrQpz5hzxu23OnCPD0mTC0wicCLgTbWJipuN0Ov1m/X744YdBfyhtti80da6hYiCGwF8t8JseiTPhrGUWFJSGdM3y8h/j3SErFMEKb7wN+0Corr5fdw+rqx8Mur/dXk5p6QJKSk7RHpWVN+kyoisrf6rbHijRzx9tbX8Luqbe2vpK3ycJk0CypcOBojhob9/CJ5KBO8dcxued7TxUdhxJkvj+99USvRtvvJFPP/1Ue2zZsgWHY/B/i068kLU3GzfCL3/JsWPQ0GTgDxPv47+JS/o+TjBs1Nauo6rqZ9qa4sSJvycj47q+DxwF7NqVid1ehcFgYO3atZx//vk88sgj3HTTTVitVrq6ugJ2ywGYM6cpoC7yQLHbyzl06GJdiLmraxsGA0E7DeXlvRpQpAL8d7kaM2YMbW1tfa5lynIC8+b5lvcEYvt2My6XM2CHrFDpb3i1u/sQpaULcbkqMBgmYDIlYLcH7qkM6hr21KlvERWV1/MeUnG5fN9zXx2ljMYxzJ3b4PO6N945IxbLXJ1S10BzRvwtVbS2bgTatXsgSQkkJi7zuKaZ7OyHMZkiI50ajMbGlzhyxLeG+/zFi9lVUkJ1tf8o1EsvvcSKFSsGdWwnvkEGePhh5D+/RGUltLfD0+N/yUdJ39AXZQqGhcEyAiMRWXayfbtF+zH0Nrzd3d26H8obb7yRxx57TPt7sJPrBtMQ+Gtef9ttt/HQQw8FXMtMS1tFdvYDIY/fX8JYSsrXQz7eTUPDq1q5T7iGfevWeBTFN2u+r3soSXEUFaklTHZ7Obt25QByGK0UDcyaVdVnol9Dw36OHp3RZ87IpEl7SU2dFvL79mTPnlnYbL6SnuG2qASw2faxf/+5TJv2HtHR032O6Q+K4qC6+h5qa+8nJyeXp556Uru/ycnJOJ1OTCYT//rXv7j22ms5fPgwd9xxB3fffTcmU2C97EhwYoasvbnhBgypYxgzBmJj4Mqae/nhsd8QJXf2faxgUCkpmUdn5xZdOzmQ+2w356/sZ6RjMJhISbkcSVJLitwKT+76X+iVMFQUhdLS0p6s6+SgdaeRoqBgG+6fhP50GgqGv1rgqKioPtYyAxuEcJpHuB+HD1+B09l3SYtbEMVgMIQdXi0s3KGToww1JF9Y2Nve0mLJxmp1ERVV2O8GE4FITZ3WI3qS5DdnxOVKQlGUfhtjGLhsqSdVVXfgcFRRVXVnv8fjjSSZ/TavePfdd3G51LC6y+XiW9/6Fl1dXbz33nusXr160I0xnCweMsA778Cdd4IsU18Px49DtxTNJ0lf49lxvxDe8jAxmN7ASMRf1m97+5ccODBfV/pUXFzMBx98wK233srUqV/S2PgS9fVP+chSDga7d8/E5drXZzjZaJzut7mBP/w1r3cTOEQfOCM5Ul6Yv/BqW9vrWjazWmYWDXQRG3sWFsuEoOFVby89JiaGv/3tbwHvoSRlMnu2//wNUKsNKiuvCRhFyMx8asRWIfhbqnDjeQ9iY5cFlIPdtWsMdnsTFssYZs3qOxwfKu7PXZbbaW3dRPrYRLpsXbS394bVAb71rW8RFaXqZZvNZh5++GHS0gYvrH7yGGRQ+209/TS89BIOBzQ0QmMj7I6bz6OZD9JtiB3uEZ60DIYRGKns2pVHevoqLdHI01jdf//9uFwunWGKjp5NYeGOIR1jpA2B/1rgZboQ/dixP+f48d6Ep2Aheqeznl27cpHltpAncgZDIrNmHdWtwfsz7JIkaQY1Pz+fkhJfTero6FlMn/6fPtdKFUUhIyODhQvVjkRms5mysjI++eQTxo9f02dNclPTPygru9An32DTpk3ceuut5ORsJDn5/KDnGE78LVVA7/coN3djwJrkrq49lJbO8vgs9hATExnVwP5O6GbNmsXOnTt9Xo8UJ0fI2k1iIqxcCS++iPn0U0lPhwkTYHbXFi6tfWS4R3dSM3PmbsaP/0O/2s2NNryzfj2bFMiysV9NCkLBrfRUV7ehz33N5vH96jTkD38ND6KivgL0huglSWLChHt6wqi9DRy6uvwndA2keYQbh6OmRzZT/RmMiorCZDLpwt4HDx700xEphunTPwqpxSNAbW0tr7zyCq+88govvPACBw4cQJIkoqJy+rx3fTfm8E1OGg4CZaWHKlsqy50cP/40dXVPaI/y8ut0n0V5+TW67cePP43cz2XH/oTVExMT+egj37B6JDm5DLKbGTPg0UcxXHE5yUmQmgoLm/8qGlIMM5E0AqOFcLrzDJRwarsjaQj81QLHxIxBUSRiY5eRmfmErhbYau0mNnZZTzLfmKDn7k/zCDelpV+hvf0/gOqFd3d343Q6dQbVbrfrSpYAzOY0TKbkfv2oA1x++eU99/CKPu+dLDcBgRtMuFzhhXEbGl4dlKYR/srNIHTZ0srKVZSXX0VFxfXao739Y91n0d7+sW57eflVVFb2rxmJe0JnNI4LaUL3zW9+k5aWFpKTkwdym/rk5DTIABYL/OxncP75uO/xWS1/D3qIYHAZLd5AJBlK4Ypwarv7MgT+Og0Fw18tsNXqYtq0t/3WAk+b9raPHncgwm0e4SY//wvcGuO5ubm8/vrrfPOb3yQpKYkVK1aQlJREfHy8zksDiIk5hUOHVnD06A0kJX2L2NglISdfATz0kLuBhm82tifBGkz42y8Uysuv7nm+JuRjQiGQ6EeoLSozMx8iLu4MIPTJTVzcmT068f1DbUrRiixbgk7o3nrrLd56K3DL00hy8hpkN3PmYDKp2dffPf4EF9X9QTSkGCYibQRGC/0RrgiXcAQ+BtJpaDgIt3mEG7N5fI83fjrl5eX83//9H2+//TZvvPEGr7zyCm+88Qbt7e0+IejW1r9pIeqmpheQ5RofL/0b3/gGkiSxYsUKzUufOXM3VquCwZDo0VO5NeD78tdgwo1nGD3UBhMAktTR8xy5zy6Q6Ec40R+DIZYZMz4hM3Mt5eWVfUxuKsnMXMuMGR9jMPR/oupuXjFp0stBJ3Tjxg1d8ujJldTlD7sdLriArrpW6o9DWzscN0/klilDMyMSqNjt7ezenYjBYECSUnU/QDt2ZKAoDciyzMyZrWH9AJ2MRKK2e+vWBNLSriE7e43P+cvLbx2yjO9QiETzCHftsdFoxOVyhZ0oZrMd4MCB+VryVUFBgXZug8HA1KlfEh/fK/955MjVNDY+j9Ua/lJEff1zlJf/UEt2ys5+gbS0vqNH/T3Ok3BFP1pa3iY6ehbTpv3DJyu9tvZJ6uoe8plw2mz7KC2dxbnnnuOTCPbeex+Qn79Lq0mORJ2yvwoAz6TK2bNns2PH0CRVCoMMUFoKt9yCUldHbYOJxjpVuP3H0z/FYYga5sGdPIwmIzCSGWylp5FEpJpHtLS8z+HDi1m7di1vvfUWn3zySVjlOt4/6k6nUyudUrPm+5cp73DUcOTIj3QGsL39YwwGp8fkykx8/Fe17ZJkJjPz11RW3hH2cTk5f8RsHh9wPJEU/QiE3V7Jnj2TAmaWFxZWYLFMAODQoYtobn6D5OSLyMt7PaTze+M5oTMj8cqEXFbUHMbeYxpNJtOQyGaCCFmr5OfD228jAeljnIxJAQl4Zt8Z5HRFJsNV0DdFRW1+jTFAdvYaYYxDZDAFPiJJOFnfgYjUGnxZ2RVa2Pvzzz8PqDceKFHMc620u7vbJxGsv5nypaVfoa1tE+3t72kPsHuF0e267W1tmygtPbWfx50WdDyRFP0IxLFjD3gtQWzQLUEcO/Zbbd/Ozv/onsPFHVZ3s86SywKS6S4qomjOHG1C5RbuGWyEQXZjMsHHH2OQIGMcjBsPRiPcU3aFUPQSjCoGU+kpkkSqo1ck1uBdrirAbVAdjBt3X0iJYq2t71FcbNE8LDfeiWCK4qS42NzzsNDa+l5I78078Sy0yZWF/Pzt/Txua9DxRKLcrC9aWv4GqJ+FJOVQWFgKTNZySdzbu7r24HA0s2DBAhyOJrq6QmtAon8/6oTOYEgC4G5HOeN6AgTFW7fy+OOPk5OTQ3T04HYDcyMMsicxMfDll0i5uaQkQ+ZE9eUN+85icj8+bIFgOBnptd3D3dHLXTvb0PAm4E6QysFqddHc/KrfRLEvvvgCWZY5dOi7ABw4sBh3S0lPvBPBVJw9D0fPcX3jnXjWlwGMjT29Z/9Z/TrObA5NhWog5WbBkGUnDkc1RqOJ9PSVFBaWEh09nfz8YhISFiNJBuz2SmprH49YnfKsWYe0ZLcGg4wE8NhjYDBw7bXXcujQwJMqQ0UYZG8kCV57DQCzBZKS1JfuLbuc50tP4bTWd4THLBg1DEVtd39aFUayv29/aG7exKFDSwGZqqqfYjCkMnbsPcyadRjwDkE7gXi6u2VeeUVtTeh0lgEwdWrvemk4tchTp34e1njz8z8lM/PFoAYwM/NF8vM/jchxodDfcrNguPXe8/I+ICtrrfZ6ZeUq2tre7SlVgsrKGyJWp+yZJe6SZf7R1KSWxQ4DwiAH4rHHsJhh4gSYkgexsRAVBT+pup0N+87i+dJThJCIYMQzFLXdgUQh3Ax2f9/+jtldOiTLtcyde5yJE+8AfMt1rFYnVmsbRUXdunIjp9NGYuK5PepihpA8UTBgtSokJs4Pe8wmU3pQA2g2T4jocX3R33KzvsjJeY6EhDN0r0WqTjmUpiSXlZWx4mc/Y8WKFaxYsYIrrriC+vq+m5JEAmGQA3H66fDZZ3DFFZjNkJ0NkyZB6hhISVa95kcPLmNx42vDPVKBICBDUdsdSBTCzUjs6OVwVHt46PqOToESxVRPqterb2vr9Y7VNfsLgnqiUVEXBBU7cSe5lZXd4Dfi0Pfk6nt+z9vf4/oiVNGPSBCpOuVQ5E5bZZlXPvtMJ3e6aNGiiL2XYIiyp1AoKYHrr1ebKQMuF9i6oa4OurrUXa6Z9gFdRlEfKxg5DEVtdyg9iIe7o5d37azdXkln5ycYDAa/tbNAT8kSgFF7LVi9LUBbWzGKcihguU5Kyq1Mnhy4v/PWrTEoSm82r9k8kdmzKz22GzyacRiYPPklysouxZ0lLEkGiop8DX5/jwtGpMrN+kM4dcq+4w6/KUliYiJHjx4ddNlMEB5yaBQUwAcfwH//Cy+8gDEnm7hYGD8e0nuWSZ7afw6IuY1gBBFM6WnOnFrGjLkJiAvZGPe3B7HBEBtW1rckZQAyzc0Dl7JVf4Cn6Lyizs5PAH3ilSy36rymtrbXaW5+Pagn5X2My3UgqCfa0PBg0LG6k9s8Q+luHI5ObZs78Sw19eKe7PicnmMUbb+BHtcXoZSbKcoYduyIGVBZmz8MhjjA5TcEDy6tLMv/uMPLEh8qDWs3wkPuLy+9BA8/jAIcOwZNamSQrfFn83LGTdRasoZ1eAJBpImEKEQobR0rK29EUWxIUjRFRV0RHXPoHjpIUjyK0h7yMZIk6dpJxsV9nY6O3lB4sHaStbXrqKr6GVOnTuXAgQN+Iw7bt49l7NibtLVuT6qqfs3x448wd+5xn239PW6guD3+SHyOnpSX38Dx4497KGvZiY6O0pS1xo69gezsx/o8T1+tITdu3MgFF/hvDTlYCA+5v1x6qVoiBYwbp3aMMhnhlI4PeejQt4mSI/cFFAgGiqcIR3+yoiEyohChZH1Hshxq+vT3AbP2d2iJVyppaT8I2ZOCc4Be79ZqVZgx4+89CV+9r7e2VmpJbjt3zmXbtjFs25bSMwlRqK6u1kUcDh++kG3bUti2LY24uAV0d+/D6fRNMJo48Y6ARtUzYS2c4wbKYJW1hVqn3Bd9ZYmnp4efJT5QhEEeCJIE77+vKnylw5SpkJWlqnx9o/5Pwz06gUDDU4Sjr6zoQERCFKKvBKNDh74d0XIodczNGAwpAKSmpgZNvEpNTe15L2qGbqj1tlbr+yiKgsGQqxlhN2pDiVwURSExMVNLcnM4diDLTchys7avbzMLGVluRpYbaG39O01NL7Bv39AkGA2EwSprC1SnXFhYSnr6SoxGEw5HFbLs7PNcdYcvDvpd/OEP+5clPhBEyDoSuFzwyCPw8ssA7D8ATie8m/J/PJ+xSjXcghFBXd0GKiquJitrPenpVw33cIaM7dtNmrYySLhcToxGE3Pn9s976Svcl5u7keRk33CfPsEIzOYcHI4jun08k636aoIRDmVlV9PQsAGDwRAw8UqW1RKbjIyV2nHt7V/qGkd4H+PdOKIvPJPc3GHucJtZhKN8NdhEoplJOBw58n3S0q72KY0CaGv7lPr69eTkPNfnebZvNeLqqWu2SBJvPfssF151FXa72pRkKDWs3QgPORIYjXDLLfDGGwAkJ4PBAIubXuPi448P79gEOiIl1zia8PRWXC6X31Z54dIfUQjvto5G4xgfYwzeKleRK4dKS1MnYMG8oqioqTpjDJGvt/WUNjUajRiNRsrLy/nGN75BQUEBL730EhAZGcqhYKjL2vzVKbtJSDgjJGOc1/oZMgpGo5GimBi6P/iAC664gu7uboqKioZcw9qNMMiRZNIkOPVU0sfCtGkQHw9fa3iOROeJ2cd3NDLcco2DjacIh3uN0r0+6c4U9V2jTOPAgW9qWdH+1ii96Y+R8s76HuomGEeP/lj79+rVq5FlmQsuuACXy6WtP9rtB32Oi0S9rb9GGm5pU7X0bKb243/jjb2TxYHIUA4VoXyOkk+UsP+fY39zINwYFQe/qLmNTMw8kDKe4oIC1Yvqobi4eMg1rN0Igxxp/vAHuOUWDJKa7AXw06pfDO+YBMDwyzUOBZ7einuN0s2//vUvwNcDda9PNje/EvIaZX+NlGdHr6FugmGz7dL+PW7cOAwGA5s2bcJoNDJu3LiecL7co9Sl4q3aVVTUTXLyBRQVdRMTU9RzjEt3jD8CRWbcSW4LFy7UEr8cDkdEZCiHilA+R4NBNTVGo3HAn2N/cyDcnNL2PlFyF3umzuKWSRkwcybMmqXbZ6g1rN0IgxxpJAlWrIBzz8ViViU3Z3RuFTXKQ8xIlGscCjy9lezsbGJiYoDItsqLlJFyMxRNMLzHcuzYsZ4M3b10d6t/u1wuFMWgE7KIVHvHQJEZd5LbU089pZssRkqGcigJ9DnefvvtuveWlPSdAV3HnzKczbaPnTszsdn29Xn8tM4dSKi9CgC47bYRk+cjDPJg8dOfApDQU6M+pWtXkJ0FkWYkyjUOBZ7eSnV1NVFRUcyfPz+irfIiZaQ8GewmGCZTtE6H2jNDt6ioi/j4czEajUiS7JOhO9D2jt6RmYqKX2uTRZdLXc7q7Oz0adlos9m0iIPNtnNUTBZdLjuKovDFF18wYcIE4uLi+M1vfqN7b3V1q9mxI1t77NyZi822N6TzezaC8MyBqKq6A4ejiqqqO/s8x7/HrEABqqt6XvC458ONyLIeTE45hS4bHDkC68f/ik+Sv973MYKIMNxyjSMBTxGOlStXsmxZ+FnRQ8X27am4XI0eYg/dGAwGZFnNgjUaU5k7t/8C/4cOfY+Wlpc0wY2kpCvIy3tWt084GbqBCC3j2P9Pbl8CKwbDGObNa+j32IaC4mL/nmZf7w2isFr1UQxvyVMILF/a0vIXFMWJJJmZPbsakylwG8myshtoaHic71tSeXbWZHVt8R/9S26MNMJDHkxOOaVHDxe+1vj88I7lJGOo1ydHIp5eZ2tra8Rb5UUSf00w3MZY3R56YmRHx3/ZujWJrVsT2Lo1geLiKJqb/4yiKFxwwQUoikJz83MUF0dRXCxRXBzF1q1JGAymARljCDUy00s4LRsLC/uXBBUpwk2mCu+9+XrIoTSCcMuXKooa1VAUB3v3nh50XA0NauXLc/YGXDKq1OIIQRjkwSQ1FbNJba2Zbq/se39BxBmK9cmRiqcIx8UXBxdBGM41Su9yKKtVIT39Kl2I2XO/vti7dwGK0oqitKMo7YBd23b33Xd7Xll7VpRW9u5dMNC3ElbmuMlkCmOyqAzpZLGkZCHFxRIlJQu117yTqbwNtN3ejiRJ2ucVynszGjOwWhWioyf7jKE/ynAAkpRGXd0T2uP48aeRPXrYe36vFJne7NsRgDDIg8ns2UgSmM1gVuwsaOlfmr5gYAz2+uRIxdPrdOP2QEG/RhnJVnme+Cv38cZfEwzvdVdFMYfcBGPGjM8DbvP8MfY2+DNm7Azp/MEINTLz7W9/G6fTidNpDDpZNJnmEhMzK6yStEjQ1fWB7hl8k6m8DbTn52i1KqSm3tWHKtpdzJ0b2DvtTyOIxYsXY7N9TkXF9dqjvPwqKitvA6Ds8I9136sbKo6MqDVkYZAHk698BYDkJIiKguuq70RS/IvLCwaPvvvBXjbcQ4w4nl4njNE8l5iYoh5RDiOSJBEdPTfsrOhwCEWIxW4vJyZmJu3tHwTMiAdnyBnxcXGn6eQrPQ2vXiCl94c5M/MPxMXNjMybpu/ITHu729vvDjpZtNn+p4Vrh1I203uy4i+Zyl+2s2dZW1RUdtD3Fh09JaSxhCJf+tprr/HWW28F9JqPH1/Ptm0pNDT9Ufe9erKxkZQZM0hJSSElJYW0tDS2bt3az7s2cIRBHkxycmDlSpKSVKMMcGPVz4d3TCch/tYnbbZuzTsMZ31ytKD3Vhp0WdGerRcLC7f1Kys6VEIRYolURrxnqdv27bM92hh6etoKra2tANqaMkBl5fUUF8exe/fsiJXABYvMAEhSjDa+QJPFhISEsErSIsGOHUW4XC5SU1NxuVxs25bm02bz8OHlOgNdWrrIx3svL7+2j2WSH4U8pr6U4SZNmgQEbhQCdk0z3Hs9v7m5WXs0NDRw6qmn9v/mDRCRZT3YKAqcey7OplaqqqCjA/6ccQv/HrNiuEd2UmC3t7N7dyIGgwFJStX1Bd6xIwNFaehRSmoNOSQqCA13S0F3ZvPEib8nI+M6n/0ilRFfXJwA+K4z67Wx9T930v9v77zjq6rv//88587svcgiCTOQEHJRwbpQXFRwIo66cFCltdRV/WLdWqs4qlQrFn91tKK1raNO1FatLY4gGyMkkEFCQkL2uOuc3x8n9+be5Cb3JlxyE/g8H488IHec8z7nwn1/Pu/xeksSxxxzDOvXr+/3PkmKori4ddjX76ty3Gw2u8cE6nQJKMoBL5tWr17N0qVL3Y+5Ihvh4fP7KXU1N39AWdmPyct7d9gV8s3N71JWtrDPo76jeMnJyZx88sl8+umn1NfX97uvshxNdPT8HrsNNDW97PX+lJR7qavrzeEPNo6yL9u2FdLdvWXAe1lYWMimTZsArXPgk0/+zfjxa6mouNCt4f7BBx8ENHZzx44dTJkyJSC7go1wyCNBfT3Mn4/DAVVV0NUNV0z5GlUSAYqRYMOGKBITl7pDaZ5UVt5CQ8NzFBe3hcCyw4dgDBjYunU6TmcpkZGRvPbaa5x22mnu13700UcsXryY9vZ2dLrJXkV4rnN3dn6NL2fiq+XGpVWs0+mIjo7myy+/7PfFDLhD39u2/Yju7v9iNh/LtGlfBnRP+g7SyMxcTVXVUqD3MUmSkGUZp9PJqaee6m5JS0lJobGxsSec/jrJyRf0O/7mzenY7TUYDOkUFg6vaHSgNiXX/cnNze1J6+zp9xr/rUyuNIGR4uLeoqoNG8KRZRuKopCffwCzOXZIdkqSkdzctygvX+j+96bT6bj66qu9hn4kJ99DXd3d7gWhyWTirbfeGvDfldlspq0ttN8DwiOMBMnJ8Oij6PWavrUErCw7V6h3jRCeea2+ZGWtFM44QAYr0ApG2Hm4FfGuc3s648Gqcq+//nqvMPZtt93mM8w5adI37r93d//X609/DFQ5brEoXjl8CCcy8iJkWfYKx/773//muOOOQ1VVwsNzfZ7DVw53qOTl9fbfet6zlpYWQKuUbmhoCEjxzTW6ErTwOkBk5CIvZwxQXNxJZOQiVFUXkDP2rm0wuJXhEhOXAr21AX1D4vv23eUVZu/u7uaCCy5g1qxZzJo1izlz5nDPPffQ0tLCT3/605A7YxAOeeQ46SQAEpMgLQ2S7Hv5Uev7obVJIAiQ5uYPqKq6DtAKtFzO2eWggzUoYjgV8X3PnZWV5a7K/eabb5g3bx6zZs3ixBNPZOHChTz77LNeX9QrVqzgggsuoLm5GYdD62ctKKggKmqW+xx9i5z84aty3IVnDr+4uB2rdbPPXOsJJ5wA4LMlbSDFqqESG/tjdxSgbyWzTqfD4XDQ0dHBcccdx8KFg1c7Nzc3u+/RzJktWCwqEya86j6Xp7zlhAmvYrEENuDFW2WtdxPT0vIPgB7JU7XnHN1eXQV988VtbW2UlJRQUlLC+vXr2bhxI5IkhSxE3RcRsh5JnE445hgUFX74AWyqgSWDtGgIBKOFzZvTUZQ6d5hXUQyoqrZzkSQzxcVdwPDDzi4CybsOpNjlee7LL7+cp59+2u1U+uIv3KrTxVNU1Nhz3FnYbBs8Qp9HM21a/5zzcNmwQY+qOgHPcOzZqGpv/3Rc3GUBKVa5kCQDWVmPD6pY1Zft2+fS1fVvUlNTaWtro6OjA8BrfvRNN93Ehx9+2E/xraioiM2bN7vvUU7O28TFeSsTlpVdQHPz34iNvYC8vL8GbFdT01vs3n2u17FjYs5g40YjsqwjIeFGUlJ+4a5DiI6OprOzE6fTSVNTEzExMQPmi3/5y1/yxBNPuNMGoUY45JHmv/+FG2+kpgaaW0QuWTA2KCmRkCTJ/aXomt7jctBFRb1Oz1Oy05dMZ0bGcyQnX+vzPP7yrv4KgVznLiwsZMuWLaxYsYIHH3wQRRlKwZgLV95S9VEYJuGZC87NfZO4uLMDupeeOBzdbN4cjizLGI0zvLTBt2+3YLNtGtBR+FtUmM0FTJvmu7fasyDM6Wxhz56LBrXTc4EEMGvWLJKSkigtLWXy5Ml8+umn2O32QRcILS1voihtGI3xFBT4lgAdilxme/t6zOY8DIZx7sWHa1FmNpuZPXs269atcx/Hc0EY7lBo9UhxSJLkpQwXKoQnGGmO1WTdeqI9hCuhz1sIBJ70nZS1ebPWL+oK86qq2q+Pd9Om8e42oeEKsQSSd/V8nQtPVSnXuXfu3On+gjUYDEBgylHeqLicbn/pS+99THn5OUO6xy4CGdQhy1lDVqzy1yLlKeoxkDP2DM97CsoAfPvtt7z//vuUl5fz/vvvY7VafUpaevZQK0obc+bMwW5voqtrh89zDkUu0+HYQ3v7J1792a46hI6Ojn4zmD3rEP4XPpNt4Rb0HtfZ0DAyoiuDIRzySNMTPrP3bCh0aujDJAKBC4ejgS1bJngVaNnt2jQjVVWxWCzu13rmYR2OCrZsyaakJJzy8gUoisLHH39Mfn5+wEIsgeZd+7aneapKuURgurq0ELrLkcyfPx+HwzFowVjf0LY/5+eZV87N9V1lHAj+pknNnFkxJMWqgaZ2eUpdugrBFKWO8ePXul8jyzLr1q1j1apVXjvzzMxM1q1b18/JDaVeAHD/e6msXOpT3nI4cpl9Fx+BLAgrTZMAaJpi4SSz1n+fmBh4eP9QIRzySNPzn1gIdglGI6Wlc4HecKHnF7Cqqm5HB752jQC9z7/77rsAyHJswEIsw6mI91biaur3OMB7773nvh7XF/XixYtJSUmhuLjY6zonTdLm8g3m/M466yyvCIHN9sOA1xQsAlGsys5+p1+/sgvXrri8/BIP250oSu/nrSgKZ555Jrfd5i1gVFVVxamnntqvjzvwqIPCvHnz3P9e2tu/8ClvOVS5TF+LD3/KfBV7LiHL+gN6HYSFwcdTpoyKcDUIhzzy9LQT9ETRiHGM7nFqgiMLzx2KXq/v9wU8FJF/l0OUpHa/Yefhsm3bnH5KXDqdzh1WBwNJSTe7p1l5flG//vrr1NfX8/bbb/d8IWtfh1FR47BYVPT6o2lpaeGee+5hzpw57naZCy64AKvV6hUhqK7+mU9pz9raxykpkaitfTwo1+tPsarv1C6Ho4Hy8sspK7sYu70GAFVt8rK9svKyPu9x0NnZ6bey3Gg0+o06hIeHB/TvJSLiODIyHnW//2AWH/6U+Zw9zyclg04Gbr3V5/WFAuGQR5qef5RNPQv5alNe6GwRCPrguUMBMJvNSJJEeHg4EPiOKCpqodcurKnpn4OGnQOhufldSkp0Xj/d3ev7aF7TpwjKTnT0XGbMqHPvgl1f1Hq9ZsMPP2i7W0lSvTSwTaZcJEli48aNrF+/3t0u4+pXDaTHuqZGG2rg+vNgqajQhiOsW7fOZzqgb4uUZ07Wk8TERO677z6SkpK8HnctuFatWuW10ElOTu7noBVF4bXXXht0gdDa2sqZZ57J9ddfzzXXXMPll19OV1eXx7+XajIyHmPKlC+QZW/p1qEuPiDwOoR2m42OdnA4gYqK4X8gQUY45JGmpzrV9d9eVFgLRiOuHUp3dzeSJPHggw9y7733+twRNTQ0cMUVV9Dc3IzBMJPY2Ivo6Pi3l6Pcs+fSnl3aXmJizgp4cpGnGElZ2Vlo4h+ePwOFznspKzur3xd1fv5WnM4Ot8NxOWvPnXtLyysoisKSJb2ay0PtsXb1zXr2zx4MrqlcrhA8GLBaFa+pXZ67YsjAVS2em5vL+PHjAaivr2ft2rXU12viIqmpqYwbN47y8nJ3yNrz86uvr8fpdDJu3DivAR0/+9nPBg0Pg7bj/uyzz1i7di0vv/wyJ598MitXrqS1tYPJkzeTknKTz2t1LT6GMjLUXx1Catz1mFWZaLORtHGg1wHz5g3vwzgEiLankWbvXjj7bBoaoH4/LJn8XxyyMdRWCQT9aG//htJSbWLZr3/9ax544IEezeLevtQnn3ySTz/9lF27dvV7/8G05bjYsCEMVe1Gkszk5r7R45QZUguTyXQVKSnHUlm5jMjI44mLO5+mplfp7PzS3Uqj043D4dhPZuaTgNamU1nZtzXLjF7vCLjHuqbmIfbtu9PdKpaa+jDjxg1/uIxnixR4t5y5WqQURUGnm4zD8X2/9+v1esxmM06nk66uLlJSUqivryc1NZXa2tp+r4+Pjyc6Opqamhpstt6e6MG0wY855hi++eYbtzN2aUi7Pg+DwcBnn33G+vXrueWWW5g2rQqjcZzP6/XXny1JeoqLAxMXAZBUhYd2X0SGtZysbIgIB158EaZNC/gYhxqxPRtp0tOB3hzyeQ2rQ2iMQDAwFRVXu/9+//33u798++5a9uzZg9GoLSqD1ZbjwnNa1GCqUuA7dC5JElbr/+txrjba2z+hquoG2tu/8NpZOxx7AZtXkRH0hmctFhWLpWtAac+77rqL5uZmVDUBVXWwZcsUamtXeO0ya2t/xZYtU9w/W7dOx2ot8zqOZyV0X1wtUhER53uFk+vqnnW3SBkMOUyb9oW7DiArK8ste5mQkOClulVXV+cu1IuK6q1sdu2iDxw4wJ49e7DZbF7h6sEiEl999RXTpk2juLjYLWl57rnnUllZiSRJ2O0OTj75ZA95y4d9fu6aXKbiHhnqksssLrYSFlY8rJGhlrZ/k+5yxpEy/O53o8oZg3DIISMsTAsk/bjxxVCbIhD4pLt7i3vaEHhXXHv2pTocDvcOKhBHaTIVoCitHDgwuFpTXd3T/RwPaM5RVbMHLfgJCwtDVdV+TiPQBUNExHEAqGqSV155oJYa1wxdp7MOm60Um60U6B9Odz1ns5VitW5j27YZXvZ59gdrr/fuCdfp4mhtfcNnQVlj4x/R6eLYuXMB06ZtJTp6ITU1NZhMJmbPnk1dXZ3b9ocfftj9uTY3N9PW1kZmZmY/7WrXZ+75OSxdunTA+6bT6fj8888pKSlh1apVmEwmOjo6cDgcmEyTmTZtBzDeHWJ3yV/2JZD+7KGODJ3b/A/Cw3t2xnfdBT/6UcDvHSmEQw4RkqTlkSVUMWQiACRVQRK9YiOGw6HljlVVRVXjKShoQ1VVLwcNIEmR7uIal0ylv8pYm20noGliu+jreLZvn0V19XIkSXLvzrWZxeGUlITjdJYNWvCzePFiwNtpxMfHB7Bg6C0yslhUZs70DuUO1FJz9dW90YShVKJPm+YdWu47MOJghnZ4VipHRUWRlJSEoih89dVXFBQUuJ2si6qqKhwOB+3t7URHRzNu3DivMZCuBcDVV1/NxRdfzDXXXMP111/P/Pnz3emBlStXUltby9KlSznxxBN56KGHkCSJ2NhLmTZtB2az5pSTk29Cp9Njt+9FUfpLm4L//uyCgjKfz/lCr9jI69qqCTLFx8OPfxzwe0cS4ZBDwcKF6A3avwuA41uGJwx/RKCqXFdzDy9+fzQvfn80L+2YxTU196FTA88dCYaOa4eSkfEsM2fWYzRGIkmRqKqO+PjlZGQ8i9GYS3FxGzNm1JGUdDNOpwSY/VbGeoahXQzmeC688EIPy7pw9ToPVvDzxz/+EfB2tq2trahqMq2tHT4XDP6KjLRz+m6p+cMf/uB+TSBRAoNhPBaLismU4fG+W3E6HeTl5bkr0w92aIden4CqqjQ1NbF//34A1q5di9PpdDtZX+1NdXV11NTUuH/3XAC0traydu1a1q5dy2effYbd3vs5DvR5dHdv8bqPmZmPkZf3b+LiLkOW9QPe72BxetNaIpQ2oqOBWbO0HdEoRBR1hQJVhaOOQlFhz27otsK1kz/HKoeH2rJRxyV1T3DGgT8TEQFmMzQ3gbNno7zXlMuTGSupG0CKUTDy+BskL8tpqOo+d6FTevrvSUm5Hput0j0coG/BVmNjIzk5OV561Keddlq/giJPPLWJXRraaWkrSUi4kG3bsr2K0tLT07n77rsBKCjYO2CRkc3Wztat0ciyjCQleFXxbtqUgqo29rQIPUh9/YoBtbzT0laSlHR5P81mV2tSVFQU7e3tXnrQLS3voaqtREZG8re//S3goR2uz8MX8+bNY+7cudx5551MnDiRnTt3et3ToWt/u+79wRdgBQu9YuPC/b/n9AOvkpigkJIiwSuvwOTJI25LIAiHHCrq62H+fNraobpa89GXT/021FaNOlaXnkBqdCfj0rTfbXZNW6WtDRSn9vsvJrxHkyGZCGcLkzo3cf7+P/B19Dw+jL8IqxTGlM4NTO/4inpjBl/EnOWz1cykdHFsy/vsNeXyQ3jRyF7kYYRnZSyAyTQZq7XU6zXeVboSYWG9M5G7urYCVmJjY/tVMmdnZ1NTU4PD4UCSJK8JPTqdzuvviqKwaNEi7rnnHvfA+uzsN2hv/5T9+1d5LBhseOpSJyX9nKyspwa5vigSE5f6VBOrrLyFhobnyM5eQ2XlxV5Of/ny5V521NbeRXe397Qr1zXodDrmzp3rszId4NRTTw14aEffz0Ov15OQkEBbWxuSJLknOvlCr9f7rSjPzc1193FrmLFYetXaPKu/Cws7h5TzPVj0io1fVS1jStd3JCVCQiJIV10Fy5aNmA1DRTjkUDJrlrZL3gPd3XBf9gvsCi8MtVUhI8bRyNGtH5PdXUqjIZX9hnFcV3sPmZkQFQksWQIvvOB+fWub1kXW91+wTgZlkNT8c+PuY0PkCXTpNGGIOHs9v664hiR7DQoyH8ZfjEnp4suY+cI5D4G+k4tstj04nf1lMv21Q0lSBNDpc4fp0lNWVRW9Xo/T6XTvtl1fZZGRkbS3a/3EnrtzSYrEYIjBZtvb89wUurvL0emcbkeo06VRUFB1UPdhw4ZIVLVjwCiBJEVSWLibLVtyUZQ2cnNzOe+883jsscfc1/L8889z7LHHeu1EJSkMVe3iiSee8Onoc3LeIzb2dPfEJEXppqXFVTjnPZ1qIPoudCRJGnCn3991mJkxo7afhnZd3R+or390SDnfYDDvwOtcUf8I2dkQHmPUvj+WLHFrQYxGhEMOJTU1sHAhdjuUlWlO5EjcJZ92YC1nN6whyqnl5ySp15nKMkyaBPIvboTLL9cerKiAG26Aujq6u6GlFaxWTR88Lh4Mem14R0uLFuY2GrXnOzvAbu8d7OGJToasbG1xpKpaW5rdDu26GF5IXcG30SePzM0Y42zZkkdy8q2kpPx00DD0wOFPmYyM/0dNzVVeO8wZM2awzMfOZrCeWF9oDkeboZuZ+Vi/sZKqqjJzpv2g8pp9R0iOG/cYNTU3e70mKuoMVNVOZ+dGFKWx37UYDAby8/PZsmULTqcTWU5CUbqBNr+zordtK+i3+wY4+uij+frrr/3aHx8fz2uvvcaqVat45513Btzpe/Yah2IH7I9L6p5gQdufmTABpKwsePVVMJlCbdagCIccatasgWefpa4eGhvh1rx/UGfMDLVVh5xL6p7gtANrkdFW4iYT2G0QnwBxsZrT7OzUnHNCPLBqFcye7X2QDRvguusGPIdraq0Lu0Ob7dHRDu3t2gKoq1Nz4pIEsbFQsQdi40Cvh337tD8PWCNZOvnfQb3+sYDnzNzY2DOGfRzXjNpABTU2bkzA6TzQbwavL1y77RNOOIH//Oc/Aw6ad4WDZTkevT4JnS4Su70eh6Oqn1MPC/OcaGUgL++1AUdG9sVqbWXbtlhkWUZVI5g5s8X93HffxSBJHcOeb9yXgWZFaxO7enffnguhFStW8Lvf/c7rOLm5ufz2t7/l5Zdf5u233wa0cLVr+pXn52AymcjJyeH777/HaDT2tLvpkSQTMTEL3PfMNZ84lEzu3MCKiuuIiICsLJAuughuuSWkNvlDOOTRwKxZdHRARc9glMN9l5zbtY179lxBRIS2C01I0OZDOxy9/dleTJqkFWIMFGpqa4MfftBWNLNnQ3Q07N8P69fD8cdDTAy88w5s3qy9bvt291sVFWQfBZdOBRQFqqq0dMLlU74ZtZWZh4rNm9Ox22swGNIpLKw+qGPV1z9PdfXSAcOfnvnPvjtMzfH0LrwG2m3Hx8dzyimnUFpa6lVsVFBQy+7dN9He/qpP2/w5Qp0unqKiwIfAlJSYiY+/nJyc/qI/u3dfx4EDawA9YBtC5MAIaAIdgxWUTZ/e6tYJ37nzbDo73/NaCHn2kkuSRFRUFJ2dnTidTr8RhmuvvZY1a9a4d8YuxTBfk5ICUWEbCc7f/yznNKwhMwsiIyV44w3Izg61WQMyeoPpRxjhEb3qXYc7P6lbiU6GzEyYkKftiI0GCI+QkW65Bb7+Gr79Fv73P3jpJS2KMFjeJyoKLBY47TTNGQMkJcGCBdq2V5Jg4UK4807teF99BS+/DA88gHzD9fDnP2vne/11eO45+OQTdIsXYdBDXJx2uNObfH+ZH8707Yk9GAKZUQsDDwfwbM0ZqK3onXfe4X//+59bpctkmobFomI0ptLV9aGXPUPpFXa1EAWKxdLt0xkD5OSsxmJxYrFYCQ8/NkDFsTAsFiuSFDmkWdG+JiZ53kdJkrj66qtxOBzuKVmuewP06zlPTU11O2HXRC1FUZg0adKwVNhGgvfjf8Ju8xSqqsBqVeHBB0e17oNwyKOBRx5BAiK1/4/E2veH1JxDiqoyoWsL4eE9O9PrroP33tMc4tdfw0UX9TpfgwHy87VtczDR6WDqVDjjDLj66t4WiNxczbHHxMCvfgWXXUZcLERGwqV1j3Ntzb0k9RQEHe40Nb2Foji9pjUNFc/BEP5m1O7ZcykAbW3v9giQTMDhqKe29vF+il3+xEccDgeZmau92n88+3n1en3A0psFBbUYjanDuYV+mTr1SzIyXvF7LZKktQsNZ1a058SkZcuWoSgK48ePx+l0oigKr7zyivu1BQUFJCUluaMLrhGWnlOynE6n16hLgLKyMvc9Cw//Ub/5xKGkUxfFg9nPs18/jro6tDTX9/11vkcLImQ9GujuhuOOo7NLy2GqwJ05f6HSPCnUlgWdm6t+wYz2LxmXbSQ23AYffdSrkDLasNthzhwaGnuKwjq1h15JuYWP4xahSL7nxI41XFW5qmrHZquls/MzJCkcSep251Y9e2IhsDyhazCE9nqpX0jU8zFJkjCbi3sEQfoiI8v0K95KT08nNjaW+vp6Xn31VTZv3uwuNsrL+4DY2NP7HcmVz9br9Vit1gFD6JBMcfE+9+P19c9TVXUdmZmr+7UWHQwHDnxIRcX8QQunJEkacsGU1VrGzp1nY7X+ANhJSEigsVELuxsMBi8xj4E46qij+OabbwAtPB0eHk5nZydbt25l+vTpJCcnU19f7w5Zp6c/TkrKz5Ck0IX6UmxVTO78Dp3aW7mpSDLFbZ9T3PE5kyeD/KvbwEtsZvQgdsijAbMZpkwhPAySU7QN3AO7LznsdmPp1nJmtH9JUhKaM77xxtHrjEHboS9cSEICpI/Tct16HVxWt5IFjX8KtXVBw3NmbmfnZwCoaqeXOpOitNLcvNb909T0MqWlg1eeeypxgbcS1Lx581AUBYPB4H7ctzOG/lKRGnv37mXbtm3s37+fefPmeY38c+24+zJ9+lbS0p5xj5UcKISem+utMe+S+fSU+xyM9vb1bNgQRnv7+kFfV1197aCRA1mOG7JmM8C2bTOwWrcB2mfgcsaAV3W0L9atW8cjjzzidsau97S3t3t9Dvv27fPKH+/dexNNTW8Myc5gYFS6OaH5bVZUXMujZedyTe19XLXvIffP1bUPMLP9c1RVW1izY8eI2xgowiGPFl56CdAqirOytOrex8rOZmbb6MjFBIMHdl8CgMk1bdLVxjSaufVWpJ/8BNBqx1JSISwcxneP3v/UQ2Xy5H+5pwMFa1qTK8xcVFQEaOHP8PDwfsduamrisssuw2QyeeVth2KLC9fAAgBF6d//7MJgSOt5jf8Qugtfcp+DUVn5U1S1m8rK6wd9ncNR7bbdarUzfvxaurtt7mtR1ZZh9e9Om7bJ/XfXfdTrtVYuz/D/jTfe2O8+Llq0iGnTprFixYqexUn/z+Ef//iHj8ESycTFLRqyrcMlytHEefuf48ldP+aa2vsolr4jPR2mTIH8qb0/U6fC+GxtMd3dDZSW+j12qBAh69GEqsLvfw9/+hMOB9TWQls7PJ3+W76J9j18fawQ7TjAqp2nkZio7TR1ixdpedqxQE+/+N4abUPf2AjVHfH8bNJH/t87hti+/Wjs9u/8tieFh89n4sS33GHctLSHaWl500sGsqvru35h5kCUn1ytNhCYUpTDoWCxaG1EJSWSuydWVVUKCtq8ipxcuNqqPJFl2Wu352ohAm1xsXfvL/rJfQ7Gpk0mHA4ber2JGTN8jwi02zvZsiUSWZbR6bIoKOitDN+yJRensxJFUSgoaMdgGLqsrtYH3r+i2HfvtkxY2EwUpR2rtdStBvavf/2LU089laioKJ+fw4UXXkh7e3tPrnlk5DHTreXcWXENEc5WZElrU4yP1wpDGT9eqw1JTu59Q00N/OUvKB2doIJ8lEUr3hyFCIc8Gmlqgl/9CnXDBnbt7BWy6NBF80jmKnaH5YfWvmGwuvQEzEonublgNgH/+Y8Wqh8LqKr2eXz6KRJaK1RbO/w+/SG+jZqLM4Q5s+HimTd20dr6HorSOqg6U3b2qyQkaJOUPHPEvvDVThSo8tO8efO48MILWbp04FapsLBTmDp1ndc5N27MxOmsRpIifRY5AW4xEFfPct9+XhcmUxGyrPOxuPCW++zbq9zW9jk7d57kduATJ35BVJTvUX8bNyaRlLSc9PQV/Z7bu/dB9u9/kqKioRV5uj7bpqa1uELWngTS7+ypBrZ6dW/F+Pvvv88ZZ2g96aeeeiqffPKJu0L7UIuDTOzcxFmNLzKz/XP0Ok0/IC4O9AZZc8IXXqjNN/bVntjSAp9+Cl1dWjdGYmh7pAdCOOTRSksLXHwxztp6amvB4QRrt9Yf26aL5Za8N93Sj6Od7O7vuX/3T0hM1LqRpNNP19oPxhJOJ1xzDc5NWygv11TBHE6oNk1gRc5ffOpjj2YGUnOaNWsWGzZsGLDISJZzmDFjFwAbN+rdkpNOp4o/Ra433niDe+65Z8BjJyYm8uc//9n9XovFws6dOwd8vUsqcii4BkRoX3veusubNqXgcNT7fJ9/J2YmOVlTEmtqeh2nc6/bgev1GcTF9RYRSZKBtLTb0elihmR7oPj6bP31O1900UVeeeaBRFlSUlI4++yz+xWeJSY+QGvrC0GXx9QrNo5pW8cpTX9jQtdmTCYtwhYdDXJEOJxzDlxyCaQemkr4kWZsfYscScTEwB//iO5Hs8nI0HIgEydBSgrEKM0898NJxNl9f3mMNora/wNo/4kkgPvuC6k9w0KngzvuQGc2MnGCplWSnQ0Z1l28+P3RXFr3OOnW/pNvRisD5Y07OzsHza3qdNrup28rUkbGKkymaYO2E911112DHru+vp6zzjrL/d7S0tIh5XkDQQthR5CUdLOXMwatnzcmZon796HlsLupr3+M+vrHsNurvIqf7PYq93P19Y9RV/cwZWXBq/KtrX2ckhKJ2trHAe/PNiEhAYDy8vJB27w8nTFoOW2bTSUv732gtwCsoaGB559/geLiWV5FdNnZK4LqjCOcrSxseIEnyhawtOZuZsibyczUOhNjs2ORTzoR/vlPuOmmw8YZg9ghj35UVROyWLcO3noL0IqLqqrhrcSr+VvS4Lms0cCLO45Cr1PJywX9CcfCUwNP0xn1VFbCtm3w97/Dd99RX6+1Q1lt2ib6vfjLWJvyi1BbGTB91Zzmz5/vlnbU6/UYjUY6Ozvdr+9tT/IdxrXb9+NwVBIdHc2WLVvIytLCuAMPJOiPK3+pyU/2vl6SMlDVvfSVijwUBC73OQFFacdurw5YdctgyGTatO3oghThKikxAA5Aj8XSG6LeufNsWls1KUxXSHmg8L8rfO9yvEbjDPLztar3HTvm0NX1lTsEn5HxAl1d/6Wh4XkA4uIuIDf3rwSDCGcLZzW+yLymv2JWu4iN0eR0TUa0atclS+D00w9bFSWxQx7tSJImB/nrX2viGWg6GXo9nN2wBpPS6ecAIUZVkVCJidFs5oILQm3RwZGVBWeeCc8/DyedRHKyVkcycSJER8FpTWsxOwceaTfa8FRzevjhh3t2wTqKi4uZO3cuXV1dSJLmOLzbk/q2Iil0dZXgcGiCGq2trRQWFrrbiY4//niPY+iRJIk5c+a4RSc8FaQ2bNjQ73EAVa3GbJ6OXp/sftyl7BVsXO1Rg4l2pKU9w/TpOygsrCIx8fqAxEYSE6+nsLAyaM4YQKdTvf50MXHiW173b6A2L5filivaAemYTJMoK7uYsrKL6OxcjyRJrFmzBoC9e3+Bw9FGePixSJKepqa/Yz/IaF2Es5UL6p/hiV0LWND0EulxXUycAGnjJExnnAxPPAF/+xucddZh64xBOOSxx1//il4PGRnar8+XnjCqnbKpp+jH6Gp1KigInTHBZuVKTWXsqaeQJa2wU6/amdcUnN3CocRTRcul5rRw4UIyMjKYPXs2r7zyirsnd/z4tUDvDirQMG5rayurV68mPz+fu+66y638BA6vL3jwbsVxhU9VVeWyyy7z0l/u7t6Kw7G/5zhGn1XUwSJQuU+A7OxnyMv7gpaW1gEceCt5eV+Qnf1MUG2sqXnI697V1Dzifq5vWkFRFHbt2kV+fr77c3n00UcBvD4Pp7PSo+f8NUCbFNW3J72z87+oqgNQ+OGHecOyX1IV5je+zOO7FnDOgRdIj+tkwgRITjegX3w+/OMf8Mgjmib9EaAlLxzyWCMnB5YtIyxM04AGzSnPbvlw0LeFCle/rlsY6NvDbHBGcjIceyw8+CBGo5Ynv3D/KiZ0hl5YfzA8hS4qKq5252rr6+v58ssvvXK1tbX/h8XixGSaBhCQ5CQwaHjaZDJx7rnnYu6ptPd0CJ675f/97399jqPiClmr6sBToIJBoHKfLnS6GCSJARy4NqTiYLBay9i6dTpbtkxx/9TWrvC6d7W1v6KkxERJiYnq6htRVZW7777bfYzf//73Xsesra0F8Cm84klpT+/ucHrSB+P8/X/govrfkR7TwYQJkDJOj37xBVp67o47enceRwjCIY9FrrwSCUhNg+wsiAiHG2pWsKR2dAmnz2r9lBUV1yFJEN8zpIE5c0Jq0yHjtNOguJiUFE2A4K6KJdy1ZwkxjsCnBI0knkIXVqs2/cqzkMdqVdziFK7nAwnjOhwOr8EQublvul+Tm5uLqWcebVdXF6WlpXR1aYVVLoeg1+u9dnWlfUQcPHfgubn+RxQeDIqizefWRDusZGauprvb6r4vfcVHqqqWD+rAq6oCU/kaCJf6ls1W6v4BX87U1vOjcf755w/oaKOiovxGOyRJYnvPhLS+i6/o6IUHpV2dbK9Gr9e6L/R6tB3x7bd79xEfQQiHPBaRJPjqKyS0sYUZmVr+8qTmf/CrqmXkdW1FVn3PXB1JftT6HmYTZGWC3oAmBBI5Nlq1howkwW23YQgzMGGiVvg5ybqZp3eezoyeKvPRgmcoUwv9annjsLBiioutxMaeQXGxlbCw4p7dqhOHQ0s9+AvjgtFrIlFc3NlYLNoisbKy0kt8I9Lj38LHH3+MJEnY7fZ+4WzPHbNr8EFh4X7i4g6dWM5AU6csFmXAHHZHxxeA5sAdjjAmT/4fdrvZ7cBdzw+EZxrBF77UtwJJHXz//fcDPud0Ov1GO+bNm0eqRyWza/GVnf0OEye+Neg1+ePV5OU4HNDaita6kJZ2UMcb6wiHPFbR6bTw70cfoZMhPQOSk6Cw62vu3nMlf/r+GF7aMYuXdszi5qpfkNG9a8SdtKXt35jDtEWD9ItfjP2CLn9MmAAffIA8s4j4OK1VzWSCm6uWM63jqxE3p7n5A0pKJLZuncL27bPcP9XVy91OzzXgQZLSAInt22exY8ccbLZK8vNLSEtb5aWl7C+Mq9NF+ZxIZLGo6PVHew01aG/3XZDVd8fnXXCkYTAcWmEHV3tUoOMOnU4bqtqNTqcjOvosioqaiIycTVFRE9HRZ/WMK+zC6bT1O5cLf3rZJlMeFouKwTA+oAKy5ORkVFUlIyOj33Mm0zRiYi6hq6trwGhHXNytyLI84OJLrx/+Ljbc2cZxzf/k+BZtipjRxOjWtR8hhEMe68THw9dfI11yCYnJMhMnaWmX5GTNEep0kN/xDQ/tvog/fX8M5+0fGcm4rO4fAM0hAXDZZUdEUYarf5w//QlzuExurhaK+1XlMm6rXEZm984RM6Wy8moArNZSurpK3D++hjU4HNXu5zs717N9u6ZElZLyU6/+0qGGcT0xmXJ7/jT1ey43N5c77rgD6N0te6p7ee6YQVPbcv00Nr425HsTCEMZd6jTGQkLm01W1mtMnPiO12snTnyHrKzXCAubjU5n7HsoN4HqZRcW7iY5+bd+UwczZszw+ZxWHb6VhISLB412NDb+ZdDFV0XFVYPaORBx9noeLl/EdbX3cMH+Z4iJ1tJunH/+sI53OCEc8uGALGsN8u+9h3z+eUSnR5OYoOWXJ02C6ZNsjEuD8DA4p+F5Tjuw9pCbVNj+X0DzT4CmN3kkMX06/OMfSGhtUbGxMKP7Kx7cffGIVcUrincrSuBhTpn8/G39jjecMK4nLS3a7N3bbrvNXTntGnhfWVnJb37zG5/v81dwtGfPRQPcgeDhL5wMMHXqf4mP9+1U4uPPZ+rU/w743r4V0bt2XTro+YzGDD+pg4GKy3qrw/1FOxSlAvBfWzAU4uz1PLnrLJJoIC9PCyqNS0drZzrppCEf73BDOOTDicRE+L//0zRbv/gC7roL6bTT0JmNxMbCuHEgS/CTupVkdx/aId1RzmZA88NOBfCYxHPEkJ4OL7+MMS+LcWmQ2VMwurTm7sHfFwSamt5CUZzuXl+9PjOgMKfJNA2LxYnR2F/9aKhh3L54Drp3VU4risKvf/1rr6ESMLQc6fjx7w3jDg2NoY5fHAybrZIdO+YMmEYAaGn5CwBVVUu90gguKiqWDOpMAb/V4f6iHZIkBVxb4A+daufHjS/ySPn5GPQKGZma2Ifx7PlIK1fC3XcfGRE0PwilriOFhx5CeePv2GxQUaE5ydeSb+TDuItwyAOH0YbK3Ka/c9W+hwBtdoTZpI0s1F2zBG64IWjnGXM89BDq3/9O7T6J5iaVayb/B5scHBH+gQZFQLtbSUuSojAaJ2G1lgyo1pSR8RzJydcGxaa+NDWVs3v3BLcilMWismGDtxKXLMs89thj/PKXvwx4MpSrYOxQ46nbXVTk8P+GQY/Vf9oUwAknnEBSUhL79+/nyy+/9NAJ12o/dLp4ioq0qv2+927cuMeoqbnZ5/n6Ds+QJInp01vZujUaWZaRpASvBdamTSmoaiOKopCU9AiZmbf0O2Zd3R+or380ILnMyZ0buLr2AdJslcTFaxXVOhl49VVNUUfgRuyQjxSWL0c26jGbIW2clttdXP8UL5Qey0s7ZvGH0rncu/tyEuy1wz7F1I5vuWrfQ0RGavnrtDRtV66bng9XXBHEixmD3HEHEhAdpX0pntD8dtAOXVo6l6amlz3EHNaiKK1eoV5FaaW7+9uAhS6CTVxcLqqqoqpJWCwqVmsroIW/jT2qMa4dn8lkwuFwDJojleXpfp1xY+NrQckx9w0n19U9e1DHy8//DtdXr2ckYMGCBfztb38jNjbWRyFbbxrB897JcjQWi0pa2k1YLCqyHI1Op+uJRsQMmFbQ8B/t8OWMoX9tgS8MipXL9z3CiorryNVVkpsLqWmyNnr100+FM/aB2CEfabz+uqZ8A3RJ4bTs68TpgM4uTYtZUWBFzqtUmYf+n+Wh8sVk2sqYPFmLPkmgTWK56abgXsNY5aqr6P52C9VVYLPDr3LfoNY0/qAP63A0sGVLLorSNqie8jHHHENbW5vXJB+z2cytt97K/fffj06XQFFRw8FfZ4CUlPSGKF3V3p64dsy+Jj1FRl7IxImvDnr8776LQVFakeUYZs5sDsgmm62SsrLFfmY7Dz5+MVC2bp2O1boNWZbJzc2ltraWjo4O97V7ziwOC7N4na+z8yvi468hJ2e11zGbmz+grOxMAJ8LlsrKW2hoeG7A0ZTBIsVWyY3VvyLLtpOUFG1MolRQoIl9TJp0SM89lhEO+UikvBz+/Gf3sAoXXd1aOFtR4Ka8t2kwjgvocJKqcH3Nr5nd+iEJCZCSDFx1FZx33hHfV+jFrl1w0UVYbbBnt5Y2eCnlNj6OD87kn76DIvqGes844wwvp+crlHmohjX0xeHoZvPm8J4QdhqStNcdzg4LK6arawPAgIsH8HY4miP6MXl57xIbq83rHU6YeaBwsr/xi57h5KGwYUMEqtq/yG+459u8OR27vQaDIZ3Cwuoh23OwGJVuzm1YzakHXidS301GBpgj9dqi/IILtAJUwYAIh3wk092ted9du+Dee6Gigu5uqKjUdss3TnifZkOS38P8tuwC0mx7MBq18WiyxOEnkRksdu6EpUtxNLWyfz8caJK5Oe/NgBc//mhu/oDy8vn98sQnnXQSn3/+ud+c4fTprYdUH9qTLVvySE6+lZSUn/bsliOwWLQK7b450r70XTz0dUQNDS9SWXmVe0JRVtbLJCZe6tNxe2KzVbJlSw7+Zjt7Tm8CmYKCvT4L4XyhqnY6OkoAJ42N79DQ8FvA/8zivufr7NzoYxFiwOl0oNPpKSoavH0qmOgVG6c1vcb8xpeJcR4gLg6SkkE3PgsefRTy8kbMlrGMWK4cyZjNEB4OhYXaJJW779ZyzGlayPmpXWcysXMTJzX9g+Oa/+lTWGRhwwuk2faQlKj9n5Ml4LVD0xd6WDBxIqxdi37+6aSkgCwpHN32SdAO7xoU0TdPfPbZZ6OqKpGRlwyrQvpQUFBQRkrKTwFtt+tyxo2NWg+7K9+pPae6d8Sux12vs9trsdtrev6+l9LSeVRUXOdVtVxRsYTS0nmUlZ0NKJSXn4PdR72E0Zjl1u0+2Kr0gWhq+iulpXMoLT3O7YyBIZ9P6zNXqKy8pue4vZX1iuKkqemfAdt0sFy97wEurv8dWVEHyJugKdXpTpunReKEMw4Y4ZAFvSxYADNmEBkJ2dmaU/51xdVcve9Brqu9hz99fwxGxbvNYXrHesLDIDauJ2f8zjviP6A/kpPh7LORJTDoIdLZErRDew6K6NvyAmC1bvL5vr5CF6EkIWFSz2SomH55UItFe1xVVRIStFzktm3eE8Ta2z8BbH36l220t3+CTqctKmXZwY4dxwxoQ+DjF7cO+fri4haRmqoNhfAs6nriiSf8nO9p9/kcjgYURVtYKco+ysouZs+ey70WIXv2XNozQlH7KS+/HIfjENQIqCo/anmPhEQYlwbG+adqi/KHH9ZmxQoCRjhkgTerViEffRThYVrTflycJmoRHa053D+WHsd1NXczt+nvmJQupnRuQG/QHAuPPCJyxoHSIxOoN0CGdVfQDhvooIjRjrYj7p8jdTgaiIv7MbGxF7kdjdPZm4MdrH/5nnvu8apeHjfu4UFtGMr4xaEgSQbS0x9g/Ph/eu2Kx48f7+d8Oe5jbNtW7HUtA1XWe1beNzW9TGnpycOyecBrURUur9NGOEZEoOWsfvMbsSgfJiKHLPDNf/8LN/aKIDic0LAfmptB6fMvJj3HSIzZBv/732E9PDyoKAocfTSNjVBXD1dO+QpF0vl/3yB4FkoZjTPIzy9xP7d9uwWbbROKolBY2OnWph5rbNtWQHd3/13pvHnz6Ozs5OuvvyYyMpLnnnuOf/7zn27t7NraWj777DOv6mVJiiI6er77GJJkICvrcfR6TSfbVeB1KKvSS0oi0en0nHzyMZSUfMuBAwOfDwzExmpKYK2t7wId7msJCwvjxBNPJDw8HIPBgCRJLFu2jK6uLnfuWZajKSioGPZkJl9cWvcYZxx4lZTUnoluTzyhzS4WDAvhkAUDoyiwebM2Eu3dd7E7tIcURdstt3QaMMp2oqNBd8F5mkqYIHDOPJOWXfvZWwPXTv4cqxx+0If0LJTqy1DEHEYr/lq8XnzxRa666irCw8PdLUSe+KteNpsLmDZNm2Xdt7AskKp0f0VjfXE6W9m8OYnHHvstN910U59CNldbmO+vaH/XMn78eJqbm2lvbyc8fP5BT2bqy0lN/2DJvgdJTYX4RJ02ze2884J6jiMNEbIWDIwsQ1GRVoH9//4fhnAjJiOEmcGcnUJKvJ24zCh0C8+CZctCbe3YQ6fTZEWBzO7ghK09C6X6EoiYw2hHr09k5sxWoqMX+iyCysrKQpIkbr/9dvdjgcpwynI0kyd/Dgxft7tvoZU/WlreRVFs7Nu3z30+0Nq9QCUn5y/odIlusY+MjIyAriU6OpqsrKygjUnsy49a3uWqfb8hLk5La3HHHcIZBwHhkAWBUVCghbG//Vb7efdd+Owz+PBDuOcejykSgoBpaSE6SpMRvKtiiXsgx1hBG++oo7n5gxE/98SJb5Gd/U6/IqgrrtAGJthsNrc+diDVy9HRC5k5s8Udzu2r2+15rZ5V6c3Nr3oNgXAN9HAVXPmjuflvAPz2t79FVXXExS0lMfFad86/uflvFBXtJz5+Oaoqs2/fPr/XkpWVxfr16znnnHMOekxiX3SqnfP3P8vSmruJi1VITQXpkkvgnHOCdo4jGeGQBcMnIgKMwdPBPuK44QZ0esjI1EY03lJ18IMLRpKh7gaDja8Wr+pqTQxDG5hgY/z4tX5lOAfaQXqOX+x7ra6qdM+hE4G0HXk6dlVVaG19H6Mxltzcv2Kx2MnO/j3Z2avJzf0rRmMsra3voaoKWVkrsVgcPhchnteiqiqVlZVBGZPYl0RbDfftvpxzGtaQlNTTHnnhhfDLXwbl+ALhkAWC0HHRRUi5uUSEQ2RP++/4rh2htWkIDHU3GGx8tXhBb9jXbC4gIWExkyd/PWj1ciA7yL7X6nA0UF5+udcM40DajsrLr8Dl2CVJJiPjd0yatJG4uAu8zhcXdwGTJm0kI+N3SFLv1/RAfeaua3E6D1Flvary8723k6fsJCcHkpJlpJ//HG69VUxpCiLCIQsEoUKS3CIqyT0+4b49lxHt6C/dONoIpQiFC18tXlr/stPr+cF6s/3tILUdrYzT6fC6VtdAD8/Wo0DajlTV27EnJl6DyZTt89wmUzaJid7RB3/XYjZPP6gxiZ5IqkJh+3/5ceNL3LvnCnK6t5M2DsxJUfDyy9rAGOGMg4qoshYIQs3HH6PefjtdXVCxB95KWMIbyaNnVGWg4x0HayEKBp4VzJGRJwXc4rV5cyRqj8qcJBnJzX2L8vKzUVVbz2N6iovtPq+1peUtVLULgMLCQjZv3gxIyHI0itLSp41KorCw0D0yUVEUbr31Vu6++27Ky8uRpDBUtYs5c+awfv16cnLeJi7urCHdgw0b9P2upaxsPr2V373XAsOvrM/o3sU1tfeT270NWYLwCEiIh4hICZ5+GmbPHtLxBIEhHLJAEGoURcvDffklFZVwoCuMayd/EWqr3AzW+xtoC1Ew6KtXHUiL19Sp24bUm933Wl3O1XMusSf+7gGAXq9HVZNR1XYOZhEzEn3mibYartr3G6Z1fE2YyUlamia2JYEm+3rjjTBnzrCOLfCPcMgCwWigshLOO4/afdDUBA9mr6Y0vDjUVgGBj3f0HIAwHBEKfz28wx2cMJTebM9rTU5OZv/+/e4BFa6vysCHQPTnYBcxh6rPXK/YOL/hD/y48SV0Om03HJ8AcnYWLFoExxwDOTkiRH2IEQ5ZIBgNqCqcfDJKSxu7dsHbMZexNuUXobbKC3/jHRcvXnxQIhSDjQ5sanqL3bvPdTvH4YR7B6NvqLqt7XOczhqvkHRUVBQAra2t6PV6TjzxRNauXUtioraj9bwH2dnZLFu2jFtuuYXU1FRefPHFQ7KICQYz2v/D5fseJdmxl/h4SEzUWvG49lptjKropBgx9KE2QCAQoO08rrwS+emnAdDRPzwaaiZOfMs93nHlypVeDtnVdpOb+15AClW+cFUy2+17KS+/vF/O2lXBPG3aNPbsuZQDB4KXsy4tneszLO9ZpOW5o3U4HHzyySecfPLJPXll79ajvXv3ugutampqWLRoEa+99hpTp04FenuHXQ48Onph0MU7/JFoq+EndY9R3P4ZERGQmgUmI1pI+t573XrrgpFDVFkLBKOFHG14gCTBjPYvSbFVHbJT1dc/7yVoESj+2m6GK0LhWbWt/f6yV4XyoR6cMHnyv5BlbQccqLKXyWTiueee63cPUlLu92o7kiTdsPqgDxV6xcbChhf4bfkijun+jIx0yMoC0+xirer/6aeFMw4RwiELBKOFoiLQ6UhMgjR7BY+Wncu0jq8Pyak8BS2GwsG0ELlw9fB69uj27eF1MRzZy0DxXJT4k+Tsq4YFcNtttzF37tx+96Ch4ck+bUcKqqoGfREzZFSVWa2f8tDui1i0/xlS463k5kF0TgLSAw/Ac8+JKU0hRuSQBYLRxPPPw3PPYbPD7t1Qaizkvuw1QS+m2bhR764eLipyBPw+X203A7UQDcRQqrb1ev0hy1lv2BCGqnYjSWaKi7vcj7vC8vPmzeOjjz5yP37aaafx8ccf0/8rMwHoHRXpOXSiru4PPYse+4BTnMzmQqZN8z2nOiioKjM6vuT8/X9gfPf3RERASgqYw2RYvBiWLu1VphGEFLFDFghGE9deC9dei9EAEeEwoWszN+69LainqKt72kvQoq7u2YDep4lLKOh0OozGCRQXW4clQjGU8HBCQsKA4d7m5mYcDgfx8ZcM9RYAeKlseeIvLA+9amAzZnRhsTRgsag+h06kpPwUSdKc80jPqJZUhZltn3PPniu5uWo5+fL3ZGdDdhaYZ8+EV16Bm28WzngUIRyyQDDaWLIEMjNJz9AUvGa1/YtwZ9uwDmWzVbJjxxy2b5/l/qmuXu4VHq6u/pnX8zt2zMFmq+x3LL3ejKrKOJ1Ot1iGi/z8EtLSVmEw5PjtgR1KeLiurm5A5+iisnLpkO/LYIsSf2F5kDCbT8JozPW6Vs+hE9pwCu9FTFhY8bAXMUNBVp38qOVdHtx9Mb+svonp8jaysiA7GyJmToYnn4TVq2HSpKCdUxAcRMhaIBiN1NTAwoVU74XW1uHPS964MQGns78Up79+WJ0unqKixn6PD7cX2BPPFiObrYauri98hofXrVuHJkmh+gz3PvTQQ+6wu9FYBGjV1nl5r2E0ZrmPZbNVUla22Ktqu6vrO2QZd0uTqkqEhc3sea5XcGO4YXlPRmpGtU51cELz2/ykbiUG1UZkhNbCFB4OTJgA110Hc+eKXuJRjHDIAsFoxG6H+fNpq2yiqqcl983Ea/l70tB2gzZbJVu25ADKEAQtZAoK9mI0pnodK1i9wH1zyLIs89hjj3H66afz5JNPsnz5cj744ANuuukmn++XJAlVVZEkqZ9oB/RfTAx3UQI6LJbe/Hqw1LCCjaw6Ob7lHc5uWEOivZaYaEhIALMZbWzqVVfB8ccLRzwGEA5ZIBitvPsu6t13Y7VCYyO0tMD1kz6lQxc95ENt3Todp7PUb4GUTjeZ6dO3HlL9ak81LIPBgN0+cMGTy/kCFBUVYTabMZlMfPbZZ16iHZ5fY+Hhx6HTRZKT8wIGQ9owFyUSBQU1/RYlvna0/hTGDhmqysz2L1hc/zTjbLuJjtZ2xGYTmvN95hmYNUs44jGEcMgCwWhm1iy6rVBRAU4nXDHla1RpeKUf9fXPU129dMDq4YyM50hOvhYYGf3qnTvPpq3tHbczNRqNvPXWW5x99tnYbDa/7/dni8GQSWFhby58oEXJBx98wPz58wkLC8Nms7kXJYEymMLYoSLRVsM1tfeT3/kNERFarUGYGU3i8vrrYfr0EbFDEFxEUZdAMJp5+GHMJoiJ0X5VGf5ux2BIG7R62DPvOhyhjKH2AufkaKMndTodUVFRWK1WzjjjDKxWK1FRUeh0OiRJIj+/HNANyRYwMnXqBq/zTZ++lbS0Z/pVbV999dWoqkpnZydpac8MyRnDyM+FPqH5bR7afREz7N+QlalVTYcdXQh//CP8/vfCGY9hhEMWCEYzJ5wA4eEYDOCQDEgMP6BVUXHFoNXDe/Zc6n7tUIUyoqMXMnNmy5B0mPV6MzrdOJxOJ/fdd5/XIuHee+/tKdgaR1hYDrm5bwIEZEt4+LFYLFYMhv6hc1+Lkvp6zaFqxWFZ/d4zGCM9F3pm2+dcU3sfqdGd5OZC5IRUePRRWLNGE5YRjGmElrVAMJppaoLOTrq6QK/aCVfah5VDBlCUJgB3/2tm5mqqqpa6f1eU/oVPwdavtttr2b17iTs37XQ2A7gXCVarlZdeeolbb73V/fwPP5xJR8d6ABYsWMCbb745oC3Z2a+SkLB4wPP3XZRYrVYkSXLPKC4rOx+Lpd3newfKqx9KjW0XJqWLhQ0vcFLzm0RGwLg04KSTNM3pnoWJYOwjcsgCwWjnmmuwfbOR3eXwYcyFvJQ6dKEQm62drVujkWUZSUpgxoze8OqmTSmoaiOKojB9equ7h9ZFe/s37Nw522cl9C233MLEid8QGRnYqMjNmzOx233nWY1GI1OnTmXTpv6qVZ7FXQNVZd9yyy3k5f2b6OjjfR7f4Whg06akPo+akWWbV3FYbOxFHuftdaihmgstqQo31KxgTvs6oqO1fLF+ZqG2KxYFW4cVImQtEIx27rsPo0kmLg5OaXqD7O7vh3wIzclGEB+/3MsZg29BC0+CoV/tYurUrwFtnF9WVhaSJPXIdxZhtVr58ssv2b59OxMmTHDnkF1oIhqSn7D7TwY89/ffn+jj0W6voRXAgEMrRiKv7ovs7lKOaV1HWpq2M9Yff6wm7iGc8WGH2CELBGOBRx5Bee11ysthXfjZrEn79YidOhj61X3ZseNH2Gxf43Q6WbZsGU/3jJ2E3jas5uZmwITF0s2GDVEkJi6loeFxjxYnmfHj/8KePRdDT25dkmSKi32PrvTcIQfa/uRrRvGhngvtyYTOzSzZ9yA5Shl5eSDPPQn6yIgKDh/EDlkgGAvMmIEsgeKEBPvIVPPCoZN+nDr1SzIyXgGgtLTU6zlXPnj8+LVYLNpxi4vbSEu7D3AVX+VgsThJSFiMxaJgNOb02KJit3f6PKden4jFoh50odrEiW+Rnf3OIR2pmNe1ldsrrueuiiXkqmVkZYKcmQH33TfsYwpGP8IhCwRjgYwMAOLiYHrHev6vYik5XYdmKIEner0ZgyGHtLRV5OeXeD03FP1q38dOHrQNy2AY5/V6gyEcWU4gKeleCgrKvZ4rKCgnKeleZDkBg2FwidFgONRDNRc6zbqH5VU3c/eeK5np/IbMDG0ioikvA556qkcHU3C4IhyyQDAWmDYNLrmExCRNjWmGs4QbalaMyKkLCsp86jCDNs1ouDrM/tuw+ueDi4r2k57ufd2uucYGQzJFRfsDOvfBOtRg5tVBk788u2ENvylfzDHWz0gfB7m5EDU1A+muu+D11yFraC1ZgrGHyCELBGMFRYGHH4a//50DTbBvH3wcdyHvxf+EBuM4/+8fZWzYIPvIB18CaOMKB8sHex/H91xjF76kLbdtK6S7e8uwZxQHM6+eYqvipzW/ZkLXVhIStQWXnJykjeJcsAAMhoCOIxj7CIcsEIw1br8dxwcf09QM+3s2hN9EncLbiUuoME8OqWmBYrd3smVLJLIso9NleYWgt2zJxemsRFEUCgra/YagN27Uu6c+FRU5+j3vS9ryYByqw9HN5s3hyLKM0TjDK5Q/1AEUR7V+wrW19xKt62RcOoRHyHDlldoITvPoGF4hGDlEyFogGGvcfDP6SxeTlAgTJ0JyEvyo+xPurLiGKEdTqK0LiGDlgweba+yir7TlwRaqBSWvrqqcs/95fr73VyRHdpKTC+GTMrXe4htuEM74CEXskAWCscqGDfDKK/D55zgcsHMXfBF9FqvH3RNqyw4JQ51rDOB0tmG373SPaTQYZmCzbQSMZGT87pDPKPaFXrFxTe39HNv6Pkk9NQHSmWfCHXeIoq0jHOGQBYKxTnk5XHghDQ1Qvx9WpT/M19HzQm1V0PE31/j444/nP//5T7/nBxrTGBt7UdCkLQMlzNnOzVXLmdy9kXHjICZGgp//HC67TAh9CETIWiAY8+TmwplnEhOjyRov2/t/pFn3hNqqoJOf/x2uryxfSlkHDvR31oCXEpcWjtZ6mV1KXJs2JVFf//whtz/C2cLtlTcw1bqR7GyISTbDI4/A5ZcLZywAhEMWCA4Pfv5zDHlZZGaCjMKkro2htijoGI1ZWCxOTKZpPoU9PvvsM8LCwgDfDruzs9Mr3+xJdfWNh9T2GEcjKyquY4J9O9nZEJ4WC88/D3PnHtLzCsYWImQtEBwufPMNXH895bthkzyTvyYto9ycj0M2htqyoFNf/zzV1UuZN28eH330kfvx0047jXXr1rl/14ZpaLtPp9PZL3yt0+ncFdpOJ0yY8C4xMacH1dZY+35WVF5HulJFdjaY0hLg2We1yIZA4IHYIQsEhwtFRZCcTGIiTOn6jjsrruHOimuRVMXvW8cavuYau4Q9ZLn3a01RFJxOJ06n1uLUd5CE947Zya5dgY2RDBST0snN1cvJUKoYPx5M2WlaJbVwxgIfCIcsEBwuGAywfDnRMTKTJkFKCuR2b8OoDk1neizgT+XLk9zcXF5++WUKCwtpaGhg1qxZNDQ0uHfPa9ascb/WaJzE9u2z2L59Fjt2zMFmqxy+karKtTX3kWMrJTMLjNnjNGfcI4MqEPRFhKwFgsONnTvh4otpaIT6eliTdiefxZ4TaquCirfKF2Rmrqaq6jqfr9Xr9Tgc/QVDwP8sY50unqKixmHZeGbjK1xc/yQZGRCdGgF/+hPk5AzrWIIjA7FDFggONyZOhOOOIz5Oa2u9uvYBoh2+K5DHIjZbO6BVSuv1yVgsKsnJ1yJJvWIannOU+zrjQGcZg0x+/rZh2TihczMX1T9FQgJER6FNaRLOWOAH4ZAFgsORe+9FlrWwNUCabU9IzQkmRmMkEEF8/HJmzOgdRSnLmmCIZ2tTWFgxcXE/RZZlnnjiCfLy8gYdvbhgwQLKy8uRpBQsFidGY+qQ7ZNUhetq7yE8TCE5GU0G88QTD/q6BYc/wiELBIcjMTGQn49dk2ZmWsc3obUnyBQXt5GV1Ts6sa+EpqrGuaUtm5r+4M43V1dX43A4Bhy92N3tyre3DNu2iV2bSbVVkpICUn4+LF067GMJjiyEQxYIDlcuuIDoaM03n9j8ZqitCRo2WyU7dsxxF19t3z6L6urlfQq0mmls/CPbt89yv+/+++/HarWi1xcNWKHt2l27dtvDoaj9P+h1EBYGXHgh9BxTIPCHcMgCweHKwoUA6PUQ59jPbZXLCHe2hdiog2f79pl0dq6nq6vE/QNKn5YmxeO5XiwWFVWt9Fmh/eGHH/odVOGPOS0fMK/pdSIie/LYxx4bnIsWHBGIKmuB4HDmrLOwVu6jbh+0d8D34cU8lL061FYdFDZbJVu25AAKubm5PPfcc6Snp5OVlUVERAQdHR1UVlayd+9eli5dSnm5Nk2qoKAWozG1X4W2J97CId6DKiTJQF7eaxiNWT7fW9z2GcurbyY6GlJTQH/cbFi1KujXLzh8ETtkgeBw5oknMBkhKRlSU2FK5wauqbkPuWcW8FjEn4Smq0Br0aJFVFZWYjJNw2JRMRpT3RXaAzHQLrurq4TOzvVs3z7T5/vCnW1cXfsAUVGQng76Y4+GBx8M9qULDnOEQxYIDmcmToQXXiDMrOWSY2LgxJa3OfPAn0Nt2UEzffpW0tKeGbBAq6WlhbS0Z5g+fav7cVeFdkzMEgYbVDHUNqhzG54nRm0iNRWkE0+E3/9eu9kCwRAQDlkgONwpLIRPP0U3aQLp4yA2DhbXP8W5+1cT5hx8xzjaGUxCU5Ikn+Hl4uI2JkxYM4xdtu82qHHW3Zx64DUSE8AQboRbbhHTmwTDQjhkgeBIIDoaXn0VFiwgJQWMRji3YTXP/XAS/1dxHbNbPkSv2EJt5ZDxJ6G5Z8+lg75/OLtsL1SVS+sex2xwEp8AXHklpKUF5+IERxzCIQsERwqSBHfcgZwQT3o6ZGZoSl5TOjdwQ80KnvvhJOLs9aG2ckgoShPQ29KUmbma7m4r999/f8/z/hXKhrPLdlHY8T8KOv5HSgrIqSnabGOBYJgIhywQHEkYjfDUU4SZISoK4uIgIx3Sx4FBtfG7XfPJHyMiIgNJaFosCnp9srun2F8h18Hsshc2vEBYGERGAb/4BZjNA75WIPCHcMgCwZHGlCnw7bdw003EpEUQHQ1R0ZCZqYlZXLnvYUxKZ6it9MtAEpoAM2bUER+/HIjoed3ADHeXPbFzE5O6NpKYAFJODsybd7CXJDjCEX3IAsGRzv798POfw65ddHRCVRW8nnADbycuCbVlhxybrZ2tW6N7RjEmeDn2TZtSUNVGFEVh+vTWfo79xupb+ZHtX+TmgnTPPXDWWSNsveBwQ+yQBYIjnaQkWLsW5s7FZAJUcEr6UFs1Igx3l51oq8HS9hlxcSAlJMDpp4+YzYLDF+GQBQKBRkQENhsoKpx+4C9jImwdDPoOqvAkK2slxcX95UZPb1qLXqcQGwMsWgQGwyG2UnAkIByyQCDQaG1FJ0NyMsQrDZxx4C+htmhUYlCsHN/8DrGxIJuNcP75oTZJcJggHLJAINC45BJMJkhIQJulbKsOtUWjkqPbPiFcaSMuFjj1VK1UXSAIAsIhCwQCjVmz4JRT6OwAhwO2RhwTaov8Ul//PCUlEvX1z4/YOec2/Z2ICK2DjHPPHbHzCg5/hEMWCAS9pKRojgbolsNDa0sAVFff6PXnoWacdTeTujYSGwvk5sKMGSNyXsGRgXDIAoGgl5oaFEX7q1Ue/SIXsmz3+vNQc2zL++h0mqgK55wjNKsFQUU4ZIFAoNHaCv/+Ny2tYJPMVJgmh9qiQamrexpFUZgzZw6KolBX9+whP+eMji+JjARZQrQ6CYLOkdFsKBAIBkdV4cYbUYHuLjCq3bTrY0NtlRubrZKyssWoau9OuKvrO2RZYs2aNUybNo3q6p/R2LjG/bwkGcjLe21QLeqhEO04QHZ3KZHxwOTJWvWbQBBEhEMWCATgdML27TQ1gd2hPTShczO7wgtDa1cP27fPxOnsL2F58snzmDp1Kqeccgoff/wxXV0l/d5XVNQYFBumd3wFQEQEMGdOUI4pEHgiQtYCgQD0erj8cuLjICNDe+iuiiVM6NwcWrt6yM//DtfXVW5uLuvWrWP79u28+eabALz55pts376ddevWkZub2/Mumfz8bUGzYXrHeswm7VYxe3bQjisQuBAOWSAQaPzsZ1BUhCxrTjnMDBfu/32orQLAaMzCYnFiMk2jsrKSRYsWUVVVRUREBAARERFUVVWxaNEiKisrMZmmYbE4MRpTg2bD1M4SbXdsMkHh6IgcCA4vhEMWCAS9PPgghpkFREdpkwTHd+/Q8sujhOnTt5KW9gwtLS2sXOktd7ly5UpaWlpIS3uG6dO3BvW8MY5GEuz7CAsHpk/H3RsmEAQR4ZAFAkEvKSmwZg3ExhIRCWalkyR7Tait8sJgSEOSJObPn8+OHTtYunQpO3bs4Mwzz0SSpKAVcXmS3V0K9Iw7njo16McXCEA4ZIFA0BdZhmOOIaynDXmcbXdo7elDRcUVKIrCgQMHmDlzJqtXr6a4uJimpiYURWHPnkuDfs5UWyWS1DNDwp2jFgiCi3DIAoGgP1u20Nml/bVDjg6tLX1QlCYA7r//fqxWK5mZq+nutnL//ff3PN+/GvtgiXPsR68HCSA1eHlpgcAT4ZAFAkF/rFb0Ou2vHbrR45BttnYAdDoden0yFotKcvK1WCwKen0yOp3O63XBIsbRiMHVJJqYGNRjCwQuhEMWCATeqCo0NmLv0eCQUUJrjwdGYyQQQXz8cmbMqPN6bsaMOuLjlwMRPa8LHpHOZnp8PZqQtUAQfIQwiEAg8KZUK2CyWrVf23SxobPFB8XFbQM+l5W1kqyslQM+P1zMSieyoeeXyOA6e4HAhdghCwQCb3qmS3R1a7+alc4QGjM6MKi23jkSBsOgrxUIhotwyAKBwJssrW0oLEzzPbdU3YhOdYTYKIHg8Ec4ZIFA4E1kJJxxBinJkD4O0myVLK25K9RWhZRuORzF2fNLe3ALxgQCF8IhCwSC/tx3H0yeTFg4hIXD7NaP0Cu2UFsVMjrlKJyu2jbhkAWHCOGQBQJBf2QZbrwRCdy50yfKFpDRvSukZoWKdl0MTtcOuaUlpLYIDl+EQxYIBL456iiwWMjK0sSpkuRGzm14PtRWhYRWfTwOVxq9vj6ktggOX4RDFggEvpFlWLUK6ZxzMJs0laqj2j7h6NaPQ23ZiLPPmIXDgRa2rqwMtTmCwxThkAUCwcAYDHDZZSDLpKRAdBTcsHcFadY9obZsRNnXM7DCbkM4ZMEhQzhkgUAwONnZ8OijRGbEMi4d9LKTY1rXhdqqEaXOkAGATThkwSFEOGSBQOCfE0+EF15AliAqEuY1/RWj0h1qq0aMdn0sTfokTSxl+3a3eIpAEEyEQxYIBIGRlQXHHENCIkQ7D5DTvSPUFo0oZWEFdHcBnZ2wZ0+ozREchgiHLBAIAmfmTPcUqNMP/EUbRHGEUBY2ja7unkveuDHU5ggOQ4RDFggEgZOfj16vjQSe1fYvpnRuCLVFI8b34RYUpUfj+9tvQ22O4DBEOGSBQBA4xx4LFgtRUdqvkc4jRyRjt3kqXXIEnR3AN9+IPLIg6AiHLBAIhsb8+eh1moJXgmNfqK0ZMRRJx/fhFjo6gKYm2HVkqpYJDh3CIQsEgqExdSqSBJERcErTG8iq0/97DhO2RMymswtNRvPjI08gRXBoEQ5ZIBAMjYkTYeZMEpMg1VbJtI6vQ23RiPF19DwUVaa1FXjvPRG2FgQV4ZAFAsHQkCRYsACzGWQJMqxlobZoxGjVx7MlYjbNLcC+fbB+fahNEhxGCIcsEAiGTnY2EmA0QV7X1lBbM6J8EbuAri6w2RHV1oKgIhyyQCAYOnY7oA2cOLrtY5bW3IWkHhnh2x/CZgBoIiElJaE1RnBYIRyyQCAYOlOmQFIS2eMhLQ1+1PIepza9HmqrRoQmQzK1xvFatfW2bWgJZYHg4BEOWSAQDJ3ISHjtNeQLFxEXC7ExsLDhBXSqw+9bDwd2hhXS3g4qiLC1IGgIhywQCIZHdDTccgsAJjNEOZvQq7YQGzUybImcjd3RM/1JOGRBkNCH2gCBQDCG+de/UIG2VpBQuX/3ZdQas/k2ai41phxqjdl06qJCbWXQ2RIxBxWJri4V06ZNoTZHcJggHLJAIBg+WVlIskxkpEJnF0wOqyC1pYKZ7Z+7X/JY5pPsMU8lu7uUsrBpdOhiQmhwcOjURbHXlEdc5y5id+6Ejg6IiAi1WYIxjnDIAoFg+EyaBNddR8If/kBMLBj0Wj7ZaIKaGrBa4eaq5e6X2yUjK3JeZZ8pO2QmB4vvw4vJ7diliYNs2qTpfAsEB4HIIQsEgoNjyRKkO+/EcN0SWLCAiLxUDHpIT4fsbIiPh5QUGJ8NYbKNR8rP5+Smv4Xa6oOmNLwImw0cTmDrkdWLLTg0iB2yQCA4OGQZzjnH+7HNm9GvWIG+tpbUlN6H4+OhtQ2u3PcbVCT+FXfeiJoaTHab8wGtHzly+/YQWyM4HBAOWSAQBJ/CQnjnHa1HV1UhJgYef5zEv/yF8Aioroar9j2EQzLwZcx8FGRNknMMUW9Ip0MXTVd3q+aQVXXMXYNgdCGpqqqG2giBQHCEcNFFqLt20d0NVVXg6NO2/H24hVXpv6FVHx8a+4bIbZU/Y460nsxM4J//hNTUUJskGMOIHLJAIBg5Xn4ZyWjEbNZyyqAVJyclgk4H+V0lrNp5Gi/tmMVzpScyq/XT0Nrrh3JzPl1dPQIhImwtOEiEQxYIBCOHwQBffol07bUYjZCbA1lZkJSkFYGlpkF4OBiNEGvo4Ma9txHhbAm11QNSYZ6Mw9kzH3n37lCbIxjjiByyQCAYWSQJli6FCRMwf/65VoL9xRdE7twJQGRPO293N1RVw7M/nALAPxOu5K9JN6BKo2cfUW9MB7RZG/ra2hBbIxjrCIcsEAhCwymnaD8AN9yg9fOWlKC//npAk8senw0VlVo4+6zGP9Gqi+ODhEtDaLQ3TfpkQHPIYfX1IbZGMNYZPUtNgUBwZCPLcNRRmjb0t9/CQw8RFgY5OZCdpTnlS+qf4P8qlpJuLQu1tQC06WJxSAatOG3//lCbIxjjCIcsEAhGJ6edBs88g8mo5ZRjorVwdn53CbdV/hydaken2kM6h1mVZDp00TgdwM6d2i5fIBgmou1JIBCMfpYsQd20GZsNKqu0EPFQadfFsD76dN5Iuj6oAy/+r2IpxWoJ2eNBevRRmDs3aMcWHFkIhywQCEY/djssWwYbNmCzaRrZ+xu0MLaiaHViDodW7WwwaH+qKihOMJnAZtcek+hpUfLgvfjLWJt847BFPea0fMD1NXcycSIYrr9WK1gTCIaBKOoSCASjH4MBVq+GLVswPv00xg0biIjUnlIVzTG3tWvOOTq6N3Isy5oTtvc45JZW6OyArm7tOVSYf+Bl5h94mcunDm+ucbTzALKs2UDU4TdqUjByiByyQCAYOxQUaI75rbeQTzsVWQLd5AkAREVqeWYJ0FlmokuMR5oyBWbNwmAAsxmSkyErGybkQW4uZGZp1dwAi+ufGrI5kqrwo5b3kSSQJSA2NmiXKjjyECFrgUAw9nE4oK4O0tJ6tr4+sNngqadg7Vqvh7utUFGh7aCfHfcA/4s5w+fbI5ytXFi/ijRbBQ7JwPSO9V7PT50C0qIL4Pbbg3JJgiMP4ZAFAsGRy513wgcf0NQMDfvB7oDPYs9hTdqd7peYlE5+UX0b0zvWo5PBqWh5ab1eC1OHhWnynyYTSI8/DiecELrrEYxphEMWCARHNldeCVu30tCoDafq7oZXk5fzfsJPiLPX87td85FlbeMdEaHNj3Dlpl1fnpLJBCtWwBlnDLxDFwj8IByyQCA4srHbYc4cAKw2KC/rdbStuniinQfIytRy0HpXGey558Lxx0NpqaZccvLJwhELDhrhkAUCgcDphDPPhAMHaO+Almbo6tLapUAbgBEZAVx+Ofz852LuseCQIJZ0AoFAoNPBBx/AyScTGaFNnkpM0nbEstTT0gRw4/D7lQUCf4gdskAgEHhis8GxxwJakZfDoYWrpaOOgmefDbFxgsMZsUMWCAQCT4xG+PprWLYMgx7CzCCddx6sWhVqywSHOWKHLBAIBALBKEDskAUCgUAgGAUIhywQCAQCwShAOGSBQCAQCEYBwiELBAKBQDAKEA5ZIBAIBIJRgHDIAoFAIBCMAoRDFggEAoFgFCAcskAgEAgEowDhkAUCgUAgGAUIhywQCAQCwShAOGSBQCAQCEYBwiELBAKBQDAKEA5ZIBAIBIJRgHDIAoFAIBCMAoRDFggEAoFgFCAcskAgEAgEowDhkAUCgUAgGAUIhywQCAQCwShAOGSBQCAQCEYBwiELBAKBQDAKEA5ZIBAIBIJRgHDIAoFAIBCMAoRDFggEAoFgFCAcskAgEAgEowDhkAUCgUAgGAUIhywQCAQCwShAOGSBQCAQCEYB/x9wZVtJSN7AwwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=90, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Dams\n",
    "\n",
    "Next, we need to retrieve the dams in Texas that have been built between 1995 and 2005. We use National Inventory of Dams (NID) web service for this purpose. First, let's check out the fields that NID exposes through their web service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55                yearCompleted\n",
       "56              yearCompletedId\n",
       "57                yearsModified\n",
       "178        hydroApprovedIdfYear\n",
       "183    hydroOrigIdfApprovedYear\n",
       "188        hydroPmfApprovedYear\n",
       "194           hydroOtAepDevYear\n",
       "200            hydroTopInfoYear\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nid = NID()\n",
    "nid.valid_fields[nid.valid_fields.str.contains(\"year\", case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16                stateFedId\n",
       "19                     state\n",
       "21               countyState\n",
       "27          stateRegulatedId\n",
       "30     stateRegulatoryAgency\n",
       "91                 cityState\n",
       "250                 stateKey\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nid.valid_fields[nid.valid_fields.str.contains(\"state\", case=False)]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Based on these, we should use the ``stateKey`` and ``yearCompleted`` fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dam_list = nid.get_byfilter(\n",
    "    [\n",
    "        {\n",
    "            \"stateKey\": [\"TX\"],\n",
    "            \"yearCompleted\": [\"[1995 2005]\"],\n",
    "        },\n",
    "    ],\n",
    ")\n",
    "dams = dam_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=110, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "dams.plot(ax=ax, marker=\"o\", markersize=20, color=\"g\", edgecolor=\"k\", label=\"NID dams\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "As is evident from the plot above, there are many stations that don't have any dams in their vicinity. One way to eliminate these stations is using a spatial query based on a search radius. We can determine an estimation for our search radius based on the upstream drainage area distribution of the streamflow gauges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sites.hist(\"nhd_areasqkm\", figsize=(4, 2.5), bins=\"auto\")\n",
    "_ = ax[0][0].set_title(\"Drainage Area (km$^2$) Histogram\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can see that most stations have a drainage area of less than 15000 km$^2$. Since they're not very large a search radius of 10 km should be sufficient. Now, we define a function that carries out an efficient spatial query to find the stations that have at least one dam within a 10-km radius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def distance_filter(gdf1, gdf2, dist_km):\n",
    "    \"\"\"Filter gdf1 to only include points within distance of gdf2.\"\"\"\n",
    "    buff = gdf1.to_crs(5070).buffer(dist_km * 1e3)\n",
    "    idx2, idx1 = buff.sindex.query(gdf2.to_crs(5070).geometry)\n",
    "    return gdf1.iloc[pd.unique(idx1)].reset_index(drop=True), gdf2.iloc[\n",
    "        pd.unique(idx2)\n",
    "    ].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sites, dams = distance_filter(sites, dams, 10)\n",
    "\n",
    "ax = sites.hist(\"nhd_areasqkm\", figsize=(4, 2.5), bins=\"auto\")\n",
    "_ = ax[0][0].set_title(\"Drainage Area (km$^2$) Histogram\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "texas.plot(ax=ax, facecolor=\"b\", edgecolor=\"r\", linewidth=2, alpha=0.8, figsize=(10, 10))\n",
    "sites.plot(ax=ax, marker=\"*\", markersize=110, color=\"w\", edgecolor=\"k\", label=\"NWIS sites\")\n",
    "dams.plot(ax=ax, marker=\"o\", markersize=20, color=\"g\", edgecolor=\"k\", label=\"NID dams\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Flowlines and Hydrolinking\n",
    "\n",
    "So far, we obtained only the stations that have at least one dam in their 10-km radius, but we didn't find if those dams are in their upstream or downstream. We use the Hydro Network-Linked Data Index (NLDI) web service to obtain the upstream flowlines of the streamflow gauges up to 10 km. Note that this 10 km is the distance along the flowlines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "nldi = NLDI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_up = {}\n",
    "noflw = []\n",
    "for agency, fid in sites[[\"agency_cd\", \"site_no\"]].itertuples(index=False, name=None):\n",
    "    try:\n",
    "        flw_up[fid] = nldi.navigate_byid(\n",
    "            fsource=\"nwissite\",\n",
    "            fid=f\"{agency}-{fid}\",\n",
    "            navigation=\"upstreamTributaries\",\n",
    "            source=\"flowlines\",\n",
    "            distance=10,\n",
    "        )\n",
    "    except ZeroMatchedError:\n",
    "        noflw.append(fid)\n",
    "noflw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "sites = sites[sites.site_no.isin(flw_up)].copy()\n",
    "sites, dams = distance_filter(sites, dams, 10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We now have flowlines and dams that are closer than 10 km, but we still don't have a way of linking these features. For this purpose, we use NHDPlus's Common Identifier (`comid`). One way to obtain the first downstream flowline of coordinate is to use NLDI's `hydrolocation` endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "coords = list(dams[[\"longitude\", \"latitude\"]].astype(float).itertuples(index=False, name=None))\n",
    "nid_comids = nldi.feature_byloc(coords)\n",
    "dams[\"nhdplus_comid\"] = nid_comids.comid.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "coords = list(sites[[\"dec_long_va\", \"dec_lat_va\"]].astype(float).itertuples(index=False, name=None))\n",
    "site_comids = nldi.feature_byloc(coords)\n",
    "sites[\"nhdplus_comid\"] = site_comids.comid.values"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can then use these obtained comids to hydrolink the dams, stations, and flowlines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>usgs_id</th>\n",
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       "      <th>nhdplus_comid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>LINESTRING (-97.69269 33.23604, -97.69307 33.2...</td>\n",
       "      <td>1305635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.69154 33.23755, -97.69228 33.2...</td>\n",
       "      <td>1305593</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.71624 33.23529, -97.71599 33.2...</td>\n",
       "      <td>1305595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.69438 33.24547, -97.69389 33.2...</td>\n",
       "      <td>1305591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08044000</td>\n",
       "      <td>LINESTRING (-97.69002 33.24999, -97.68994 33.2...</td>\n",
       "      <td>1305589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id                                           geometry nhdplus_comid\n",
       "0  08044000  LINESTRING (-97.69269 33.23604, -97.69307 33.2...       1305635\n",
       "1  08044000  LINESTRING (-97.69154 33.23755, -97.69228 33.2...       1305593\n",
       "2  08044000  LINESTRING (-97.71624 33.23529, -97.71599 33.2...       1305595\n",
       "3  08044000  LINESTRING (-97.69438 33.24547, -97.69389 33.2...       1305591\n",
       "4  08044000  LINESTRING (-97.69002 33.24999, -97.68994 33.2...       1305589"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_all = pd.concat(flw_up.values(), keys=flw_up.keys()).reset_index().drop(columns=\"level_1\")\n",
    "flw_all = gpd.GeoDataFrame(\n",
    "    flw_all.rename(columns={\"level_0\": \"usgs_id\"}), crs=flw_up[\"07312200\"].crs\n",
    ")\n",
    "flw_all.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Finally, upon hydrolinking these features we can determine the stations that have at least one dam in their upstream up to 10 km."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>usgs_id</th>\n",
       "      <th>nhdplus_comid</th>\n",
       "      <th>dam_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08178700</td>\n",
       "      <td>10839872</td>\n",
       "      <td>TX07211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>08057445</td>\n",
       "      <td>1260363</td>\n",
       "      <td>TX09216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>08177300</td>\n",
       "      <td>1638809</td>\n",
       "      <td>TX07200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>07312200</td>\n",
       "      <td>13730353</td>\n",
       "      <td>TX07042</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id nhdplus_comid   dam_id\n",
       "0  08158920       5781345  TX07494\n",
       "1  08158920       5781345  TX07223\n",
       "2  08095000       5531532  TX07074\n",
       "3  08095000       5531532  TX07061\n",
       "4  08178700      10839872  TX07211\n",
       "5  08057445       1260363  TX09216\n",
       "6  08177300       1638809  TX07200\n",
       "7  07312200      13730353  TX07042"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_dam = pd.merge(\n",
    "    flw_all[[\"usgs_id\", \"nhdplus_comid\"]],\n",
    "    dams[[\"federalId\", \"nhdplus_comid\"]].rename(columns={\"federalId\": \"dam_id\"}),\n",
    "    on=\"nhdplus_comid\",\n",
    "    how=\"left\",\n",
    ")\n",
    "flw_dam = flw_dam[~flw_dam.dam_id.isna()].reset_index(drop=True)\n",
    "flw_dam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['08158920', '08095000', '08178700', '08057445', '08177300',\n",
       "       '07312200'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_dam = flw_dam.usgs_id.unique()\n",
    "site_dam"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Streamflow Observations\n",
    "\n",
    "Upon finalizing the stations that satisfy our criteria, we use NWIS to obtain the daily streamflow data. But first, we need to obtain the year that the construction of dams were completed, so we can exactly specify the required streamflow data period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>associatedStructuresCount</th>\n",
       "      <th>conditionAssessDate</th>\n",
       "      <th>conditionAssessDetail</th>\n",
       "      <th>conditionAssessId</th>\n",
       "      <th>damHeight</th>\n",
       "      <th>damLength</th>\n",
       "      <th>distance</th>\n",
       "      <th>drainageArea</th>\n",
       "      <th>eapId</th>\n",
       "      <th>dsacAssignedDate</th>\n",
       "      <th>...</th>\n",
       "      <th>purposeIds</th>\n",
       "      <th>dsacId</th>\n",
       "      <th>femaRegion</th>\n",
       "      <th>lastEapExcerDate</th>\n",
       "      <th>dataUpdated</th>\n",
       "      <th>usaceDistrict</th>\n",
       "      <th>noConsequencesId</th>\n",
       "      <th>secretaryAgricultureBuiltId</th>\n",
       "      <th>nrcsWatershedAuthorizationId</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>544499</th>\n",
       "      <td>0</td>\n",
       "      <td>2014-06-18T12:00:00.000Z</td>\n",
       "      <td>NOT RATED</td>\n",
       "      <td>5</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.13</td>\n",
       "      <td>3</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-09-18T12:00:00.000Z</td>\n",
       "      <td>Fort Worth District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-97.37830 28.77720)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543218</th>\n",
       "      <td>0</td>\n",
       "      <td>2014-06-18T12:00:00.000Z</td>\n",
       "      <td>FAIR</td>\n",
       "      <td>2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>None</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-09-18T12:00:00.000Z</td>\n",
       "      <td>Fort Worth District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-96.66611 32.73923)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543202</th>\n",
       "      <td>0</td>\n",
       "      <td>2022-11-01T12:00:00.000Z</td>\n",
       "      <td>FAIR</td>\n",
       "      <td>5</td>\n",
       "      <td>28.1</td>\n",
       "      <td>825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-09-18T12:00:00.000Z</td>\n",
       "      <td>Galveston District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-97.86973 30.24981)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542209</th>\n",
       "      <td>0</td>\n",
       "      <td>2021-04-30T12:00:00.000Z</td>\n",
       "      <td>SATISFACTORY</td>\n",
       "      <td>2</td>\n",
       "      <td>49.0</td>\n",
       "      <td>6615</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.72</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>None</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-09-18T12:00:00.000Z</td>\n",
       "      <td>Galveston District</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>POINT (-98.45066 29.55025)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542221</th>\n",
       "      <td>0</td>\n",
       "      <td>2016-10-13T12:00:00.000Z</td>\n",
       "      <td>POOR</td>\n",
       "      <td>3</td>\n",
       "      <td>26.0</td>\n",
       "      <td>730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>None</td>\n",
       "      <td>6</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-09-18T12:00:00.000Z</td>\n",
       "      <td>Galveston District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>POINT (-97.89934 30.24614)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        associatedStructuresCount       conditionAssessDate  \\\n",
       "id                                                            \n",
       "544499                          0  2014-06-18T12:00:00.000Z   \n",
       "543218                          0  2014-06-18T12:00:00.000Z   \n",
       "543202                          0  2022-11-01T12:00:00.000Z   \n",
       "542209                          0  2021-04-30T12:00:00.000Z   \n",
       "542221                          0  2016-10-13T12:00:00.000Z   \n",
       "\n",
       "       conditionAssessDetail  conditionAssessId  damHeight  damLength  \\\n",
       "id                                                                      \n",
       "544499             NOT RATED                  5       22.0          0   \n",
       "543218                  FAIR                  2       12.0        300   \n",
       "543202                  FAIR                  5       28.1        825   \n",
       "542209          SATISFACTORY                  2       49.0       6615   \n",
       "542221                  POOR                  3       26.0        730   \n",
       "\n",
       "        distance  drainageArea  eapId dsacAssignedDate  ... purposeIds dsacId  \\\n",
       "id                                                      ...                     \n",
       "544499       NaN          1.13      3             None  ...       None   None   \n",
       "543218       NaN          0.90      1             None  ...          9   None   \n",
       "543202       NaN           NaN      2             None  ...       None   None   \n",
       "542209       0.0         16.72      1             None  ...          9   None   \n",
       "542221       0.0          1.34      1             None  ...          9   None   \n",
       "\n",
       "       femaRegion  lastEapExcerDate               dataUpdated  \\\n",
       "id                                                              \n",
       "544499          6              None  2023-09-18T12:00:00.000Z   \n",
       "543218          6              None  2023-09-18T12:00:00.000Z   \n",
       "543202          6              None  2023-09-18T12:00:00.000Z   \n",
       "542209          6              None  2023-09-18T12:00:00.000Z   \n",
       "542221          6              None  2023-09-18T12:00:00.000Z   \n",
       "\n",
       "              usaceDistrict  noConsequencesId  secretaryAgricultureBuiltId  \\\n",
       "id                                                                           \n",
       "544499  Fort Worth District                 0                            0   \n",
       "543218  Fort Worth District                 0                            0   \n",
       "543202   Galveston District                 0                            0   \n",
       "542209   Galveston District                 0                            1   \n",
       "542221   Galveston District                 0                            0   \n",
       "\n",
       "        nrcsWatershedAuthorizationId                    geometry  \n",
       "id                                                                \n",
       "544499                             5  POINT (-97.37830 28.77720)  \n",
       "543218                             5  POINT (-96.66611 32.73923)  \n",
       "543202                             5  POINT (-97.86973 30.24981)  \n",
       "542209                             3  POINT (-98.45066 29.55025)  \n",
       "542221                             5  POINT (-97.89934 30.24614)  \n",
       "\n",
       "[5 rows x 96 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dams_info = nid.inventory_byid(flw_dam.dam_id.to_list())\n",
    "dams_info.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We use the `yearCompleted` field to determine the required study period by looking at 15 years before and after the year completed for each dam. The reason that we opted for 15 years is the fact that during the construction the streamflow is temporarily diverted from its original path and also upon completion it usually takes some time for dams to be filled and reach their operational capacity. So we consider a 5-year buffer around the year completed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>usgs_id</th>\n",
       "      <th>nhdplus_comid</th>\n",
       "      <th>dam_id</th>\n",
       "      <th>nidStorage</th>\n",
       "      <th>nidHeight</th>\n",
       "      <th>yearCompleted</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07494</td>\n",
       "      <td>189.00</td>\n",
       "      <td>28.1</td>\n",
       "      <td>1996</td>\n",
       "      <td>1981-01-01</td>\n",
       "      <td>2011-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>08158920</td>\n",
       "      <td>5781345</td>\n",
       "      <td>TX07223</td>\n",
       "      <td>156.31</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>1984-01-01</td>\n",
       "      <td>2014-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07074</td>\n",
       "      <td>731.00</td>\n",
       "      <td>73.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>1985-01-01</td>\n",
       "      <td>2015-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>08095000</td>\n",
       "      <td>5531532</td>\n",
       "      <td>TX07061</td>\n",
       "      <td>410.00</td>\n",
       "      <td>22.6</td>\n",
       "      <td>1998</td>\n",
       "      <td>1983-01-01</td>\n",
       "      <td>2013-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08178700</td>\n",
       "      <td>10839872</td>\n",
       "      <td>TX07211</td>\n",
       "      <td>8741.00</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>1989-01-01</td>\n",
       "      <td>2019-12-31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    usgs_id nhdplus_comid   dam_id  nidStorage  nidHeight  yearCompleted  \\\n",
       "0  08158920       5781345  TX07494      189.00       28.1           1996   \n",
       "1  08158920       5781345  TX07223      156.31       26.0           1999   \n",
       "2  08095000       5531532  TX07074      731.00       73.0           2000   \n",
       "3  08095000       5531532  TX07061      410.00       22.6           1998   \n",
       "4  08178700      10839872  TX07211     8741.00       53.0           2004   \n",
       "\n",
       "       start        end  \n",
       "0 1981-01-01 2011-12-31  \n",
       "1 1984-01-01 2014-12-31  \n",
       "2 1985-01-01 2015-12-31  \n",
       "3 1983-01-01 2013-12-31  \n",
       "4 1989-01-01 2019-12-31  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flw_dam = pd.merge(\n",
    "    flw_dam,\n",
    "    dams_info[[\"federalId\", \"nidStorage\", \"nidHeight\", \"yearCompleted\"]].rename(\n",
    "        columns={\"federalId\": \"dam_id\"}\n",
    "    ),\n",
    "    on=\"dam_id\",\n",
    "    how=\"left\",\n",
    ")\n",
    "flw_dam[\"start\"] = pd.to_datetime(flw_dam.yearCompleted - 15, format=\"%Y\")\n",
    "flw_dam[\"end\"] = pd.to_datetime(flw_dam.yearCompleted + 15, format=\"%Y\") + pd.DateOffset(\n",
    "    years=1, days=-1\n",
    ")\n",
    "flw_dam.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We then use these dates to obtain the streamflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dates = (flw_dam.start.min(), flw_dam.end.max())\n",
    "qobs = nwis.get_streamflow(site_dam, dates)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's take a look at the data and assess the station by visual inspection. Note the there are several methods for quantifying the impact of dams on streamflow such as Reservoir Index, but in this tutorial we just rely on visual inspection for brevity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ma = qobs.groupby(pd.Grouper(freq=\"Y\")).mean()\n",
    "yc = flw_dam.set_index(\"usgs_id\").yearCompleted\n",
    "fig, axs = plt.subplots(\n",
    "    nrows=ma.shape[1], figsize=(8, 10), sharex=True, constrained_layout=True, dpi=100\n",
    ")\n",
    "\n",
    "for i, s in enumerate(ma):\n",
    "    (line1,) = axs[i].plot(ma[s], label=\"Mean annual flow (cms)\")\n",
    "    axs[i].set_ylim(0, ma[s].quantile(0.95) * 1.7)\n",
    "    axs[i].set_title(s)\n",
    "    yrs = yc.loc[s.replace(\"USGS-\", \"\")]\n",
    "    yrs = [yrs] if isinstance(yrs, np.int64) else yrs\n",
    "    for yr in yrs:\n",
    "        line2 = axs[i].axvline(\n",
    "            pd.to_datetime(yr, format=\"%Y\"),\n",
    "            color=\"r\",\n",
    "            linestyle=\"--\",\n",
    "            linewidth=2,\n",
    "            label=\"Dam Year Completed\",\n",
    "        )\n",
    "_ = axs[0].legend(handles=[line1, line2], loc=\"best\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "We can see that based on the available data and visual inspection, the first station shows a noticeable difference before and after the dam construction. Next we take a closer look at this station, `USGS-07312200`."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Land Use/Land Cover (LULC)\n",
    "\n",
    "To gain a better understanding of the land features around and near the `USGS-07312200` station and its dams, we use the LULC data. For this purpose, first, we obtain the local catchments up to 30 km upstream and downstream of the station. The WaterData web service has several layers one of which is local catchments. Let's use the COMIDs to obtain their corresponding catchments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>gridcode</th>\n",
       "      <th>featureid</th>\n",
       "      <th>sourcefc</th>\n",
       "      <th>areasqkm</th>\n",
       "      <th>shape_length</th>\n",
       "      <th>shape_area</th>\n",
       "      <th>direction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MULTIPOLYGON (((-98.95702 34.00904, -98.95757 ...</td>\n",
       "      <td>1347768</td>\n",
       "      <td>13728581</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>3.667051</td>\n",
       "      <td>0.082690</td>\n",
       "      <td>3.579443e-04</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MULTIPOLYGON (((-98.95302 34.00727, -98.95292 ...</td>\n",
       "      <td>1347933</td>\n",
       "      <td>13728583</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.005346</td>\n",
       "      <td>0.003188</td>\n",
       "      <td>5.217419e-07</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MULTIPOLYGON (((-98.95483 34.00319, -98.95537 ...</td>\n",
       "      <td>1348044</td>\n",
       "      <td>13728585</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.150286</td>\n",
       "      <td>0.018680</td>\n",
       "      <td>1.466643e-05</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MULTIPOLYGON (((-98.94654 34.00018, -98.94817 ...</td>\n",
       "      <td>1347921</td>\n",
       "      <td>13728587</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.010543</td>\n",
       "      <td>0.004362</td>\n",
       "      <td>1.028886e-06</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MULTIPOLYGON (((-98.94831 34.00390, -98.94784 ...</td>\n",
       "      <td>1347981</td>\n",
       "      <td>13728589</td>\n",
       "      <td>NHDFlowline</td>\n",
       "      <td>0.142392</td>\n",
       "      <td>0.027063</td>\n",
       "      <td>1.389548e-05</td>\n",
       "      <td>upstream</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            geometry  gridcode  featureid  \\\n",
       "0  MULTIPOLYGON (((-98.95702 34.00904, -98.95757 ...   1347768   13728581   \n",
       "1  MULTIPOLYGON (((-98.95302 34.00727, -98.95292 ...   1347933   13728583   \n",
       "2  MULTIPOLYGON (((-98.95483 34.00319, -98.95537 ...   1348044   13728585   \n",
       "3  MULTIPOLYGON (((-98.94654 34.00018, -98.94817 ...   1347921   13728587   \n",
       "4  MULTIPOLYGON (((-98.94831 34.00390, -98.94784 ...   1347981   13728589   \n",
       "\n",
       "      sourcefc  areasqkm  shape_length    shape_area direction  \n",
       "0  NHDFlowline  3.667051      0.082690  3.579443e-04  upstream  \n",
       "1  NHDFlowline  0.005346      0.003188  5.217419e-07  upstream  \n",
       "2  NHDFlowline  0.150286      0.018680  1.466643e-05  upstream  \n",
       "3  NHDFlowline  0.010543      0.004362  1.028886e-06  upstream  \n",
       "4  NHDFlowline  0.142392      0.027063  1.389548e-05  upstream  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_id = \"07312200\"\n",
    "flw_ut = nldi.navigate_byid(\n",
    "    fsource=\"nwissite\",\n",
    "    fid=f\"USGS-{station_id}\",\n",
    "    navigation=\"upstreamTributaries\",\n",
    "    source=\"flowlines\",\n",
    "    distance=30,\n",
    ")\n",
    "flw_dd = nldi.navigate_byid(\n",
    "    fsource=\"nwissite\",\n",
    "    fid=f\"USGS-{station_id}\",\n",
    "    navigation=\"downstreamDiversions\",\n",
    "    source=\"flowlines\",\n",
    "    distance=30,\n",
    ")\n",
    "flowlines = gpd.GeoDataFrame(pd.concat([flw_ut, flw_dd]), crs=4326)\n",
    "wd = WaterData(\"catchmentsp\")\n",
    "catchment = wd.byid(\"featureid\", flowlines.nhdplus_comid.to_list())\n",
    "flw_dd[\"nhdplus_comid\"] = flw_dd.nhdplus_comid.astype(catchment.featureid.dtype)\n",
    "catchment[\"direction\"] = \"upstream\"\n",
    "catchment.loc[catchment.featureid.isin(flw_dd.nhdplus_comid), \"direction\"] = \"downstream\"\n",
    "catchment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(dpi=100, figsize=(6, 6))\n",
    "catchment.plot(ax=ax, column=\"direction\", edgecolor=\"k\", lw=0.5)\n",
    "flowlines.plot(ax=ax, color=\"b\", linewidth=1.5, zorder=1)\n",
    "sites[sites.site_no.isin([station_id])].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"r\", marker=\"*\", markersize=150, label=\"Station\"\n",
    ")\n",
    "dams[dams.nhdplus_comid.isin(flowlines.nhdplus_comid)].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"m\", marker=\"^\", markersize=50, label=\"Dam\"\n",
    ")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, we can retrieve the LULC data at 30-m resolution within the union of these catchments using the Multi-Resolution Land Characteristics (MRLC) Consortium web service."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": []
   },
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (x: 1258, y: 804)\n",
       "Coordinates:\n",
       "  * x            (x) float64 -99.12 -99.12 -99.12 ... -98.71 -98.71 -98.71\n",
       "  * y            (y) float64 34.04 34.04 34.04 34.04 ... 33.82 33.82 33.82 33.82\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    cover_2019   (y, x) uint8 127 127 127 127 127 127 ... 127 127 127 127 127\n",
       "Attributes:\n",
       "    AREA_OR_POINT:           Area\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1\n",
       "    scale_factor:            1.0\n",
       "    add_offset:              0.0\n",
       "    _FillValue:              255\n",
       "    nodatavals:              (255,)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9aa4c4e8-d9eb-415a-9894-a5408def8378' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9aa4c4e8-d9eb-415a-9894-a5408def8378' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1258</li><li><span class='xr-has-index'>y</span>: 804</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61a30805-7fc5-4018-9f9f-6ce25d6ec757' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61a30805-7fc5-4018-9f9f-6ce25d6ec757' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-99.12 -99.12 ... -98.71 -98.71</div><input id='attrs-855404f2-7c01-40cc-ba74-1f374154452a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-855404f2-7c01-40cc-ba74-1f374154452a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0914fecd-4ec4-45cf-adac-64ae6e78a85c' class='xr-var-data-in' type='checkbox'><label for='data-0914fecd-4ec4-45cf-adac-64ae6e78a85c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-99.119952, -99.119628, -99.119304, ..., -98.71327 , -98.712946,\n",
       "       -98.712622])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.04 34.04 34.04 ... 33.82 33.82</div><input id='attrs-faedba75-56dc-4d44-89d2-16183688e5b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faedba75-56dc-4d44-89d2-16183688e5b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b492294-3842-4dcc-bd0e-0094fce12e8c' class='xr-var-data-in' type='checkbox'><label for='data-2b492294-3842-4dcc-bd0e-0094fce12e8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([34.039062, 34.038791, 34.038521, ..., 33.822522, 33.822252, 33.821981])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-05010489-fa5c-46ab-983b-a9157ac4dcbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05010489-fa5c-46ab-983b-a9157ac4dcbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260cc65f-f3e5-4215-85f4-9688d4d17610' class='xr-var-data-in' type='checkbox'><label for='data-260cc65f-f3e5-4215-85f4-9688d4d17610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-99.120114 0.000324049284578708 0.0 34.039197 0.0 -0.0002703370646766173</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b42ffc0-808c-4aa6-95e4-1c37c3ce9ea9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b42ffc0-808c-4aa6-95e4-1c37c3ce9ea9' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>cover_2019</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>uint8</div><div class='xr-var-preview xr-preview'>127 127 127 127 ... 127 127 127 127</div><input id='attrs-33290b71-8d9c-49e0-aa39-e66ff2ad5850' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33290b71-8d9c-49e0-aa39-e66ff2ad5850' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82aa18da-30cd-4a98-b411-aacb71f90dba' class='xr-var-data-in' type='checkbox'><label for='data-82aa18da-30cd-4a98-b411-aacb71f90dba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>127</dd><dt><span>nodatavals :</span></dt><dd>(127,)</dd><dt><span>units :</span></dt><dd>classes</dd></dl></div><div class='xr-var-data'><pre>array([[127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       ...,\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127],\n",
       "       [127, 127, 127, ..., 127, 127, 127]], dtype=uint8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02fc96a9-1c8d-44f4-ab9d-6b6de475d579' class='xr-section-summary-in' type='checkbox'  ><label for='section-02fc96a9-1c8d-44f4-ab9d-6b6de475d579' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07fb74e8-c968-4656-859a-3ec93526a69e' class='xr-index-data-in' type='checkbox'/><label for='index-07fb74e8-c968-4656-859a-3ec93526a69e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-99.11995197535771, -99.11962792607314, -99.11930387678855,\n",
       "       -99.11897982750398, -99.11865577821939, -99.11833172893482,\n",
       "       -99.11800767965023, -99.11768363036566, -99.11735958108108,\n",
       "        -99.1170355317965,\n",
       "       ...\n",
       "       -98.71553846820349,  -98.7152144189189, -98.71489036963433,\n",
       "       -98.71456632034975, -98.71424227106517, -98.71391822178059,\n",
       "       -98.71359417249602, -98.71327012321143, -98.71294607392686,\n",
       "       -98.71262202464227],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1258))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d739b770-62d3-49b2-8b36-4a98a1f20e99' class='xr-index-data-in' type='checkbox'/><label for='index-d739b770-62d3-49b2-8b36-4a98a1f20e99' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 34.03906183146766, 34.038791494402986,  34.03852115733831,\n",
       "        34.03825082027363, 34.037980483208955,  34.03771014614428,\n",
       "         34.0374398090796, 34.037169472014924,  34.03689913495025,\n",
       "        34.03662879788558,\n",
       "       ...\n",
       "       33.824414202114426,  33.82414386504975,  33.82387352798508,\n",
       "         33.8236031909204, 33.823332853855725,  33.82306251679105,\n",
       "        33.82279217972637,  33.82252184266169, 33.822251505597016,\n",
       "        33.82198116853234],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=804))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fad45d1d-fa08-4ff3-8d64-ac11afaaaacd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fad45d1d-fa08-4ff3-8d64-ac11afaaaacd' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>TIFFTAG_RESOLUTIONUNIT :</span></dt><dd>1 (unitless)</dd><dt><span>TIFFTAG_XRESOLUTION :</span></dt><dd>1</dd><dt><span>TIFFTAG_YRESOLUTION :</span></dt><dd>1</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd><dt><span>_FillValue :</span></dt><dd>255</dd><dt><span>nodatavals :</span></dt><dd>(255,)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (x: 1258, y: 804)\n",
       "Coordinates:\n",
       "  * x            (x) float64 -99.12 -99.12 -99.12 ... -98.71 -98.71 -98.71\n",
       "  * y            (y) float64 34.04 34.04 34.04 34.04 ... 33.82 33.82 33.82 33.82\n",
       "    spatial_ref  int64 0\n",
       "Data variables:\n",
       "    cover_2019   (y, x) uint8 127 127 127 127 127 127 ... 127 127 127 127 127\n",
       "Attributes:\n",
       "    AREA_OR_POINT:           Area\n",
       "    TIFFTAG_RESOLUTIONUNIT:  1 (unitless)\n",
       "    TIFFTAG_XRESOLUTION:     1\n",
       "    TIFFTAG_YRESOLUTION:     1\n",
       "    scale_factor:            1.0\n",
       "    add_offset:              0.0\n",
       "    _FillValue:              255\n",
       "    nodatavals:              (255,)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geom = gpd.GeoSeries([catchment.unary_union], crs=catchment.crs, index=[station_id])\n",
    "nlcd = gh.nlcd_bygeom(geom, 30, years={\"cover\": 2019})[station_id]\n",
    "nlcd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11     Open Water - All areas of open water, generall...\n",
       "12     Perennial Ice/Snow - All areas characterized b...\n",
       "21     Developed, Open Space - Includes areas with a ...\n",
       "22     Developed, Low Intensity -Includes areas with ...\n",
       "23     Developed, Medium Intensity - Includes areas w...\n",
       "24     Developed, High Intensity - Includes highly de...\n",
       "31     Barren Land (Rock/Sand/Clay) - Barren areas of...\n",
       "41     Deciduous Forest - Areas dominated by trees ge...\n",
       "42     Evergreen Forest - Areas dominated by trees ge...\n",
       "43     Mixed Forest - Areas dominated by trees genera...\n",
       "45     Shrub-Forest - Areas identified as currently s...\n",
       "46     Herbaceous-Forest - Areas identified as curren...\n",
       "51     Dwarf Scrub - Alaska only areas dominated by s...\n",
       "52     Shrub/Scrub - Areas dominated by shrubs; less ...\n",
       "71     Grassland/Herbaceous - Areas dominated by gram...\n",
       "72     Sedge/Herbaceous - Alaska only areas dominated...\n",
       "73     Lichens - Alaska only areas dominated by fruti...\n",
       "74     Moss - Alaska only areas dominated by mosses, ...\n",
       "81     Pasture/Hay - Areas of grasses, legumes, or gr...\n",
       "82     Cultivated Crops - Areas used for the producti...\n",
       "90     Woody Wetlands - Areas where forest or shrub l...\n",
       "95     Emergent Herbaceous Wetlands - Areas where per...\n",
       "127                                     Background value\n",
       "dtype: object"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta = gh.helpers.nlcd_helper()\n",
    "pd.Series(meta[\"classes\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap, norm, levels = gh.plot.cover_legends()\n",
    "fig, ax = plt.subplots(figsize=(8, 4), dpi=100)\n",
    "cover = nlcd.cover_2019.where(nlcd.cover_2019 != nlcd.cover_2019.rio.nodata)\n",
    "cover.plot(ax=ax, cmap=cmap, levels=levels, cbar_kwargs={\"ticks\": levels[:-1]})\n",
    "ax.set_xlabel(\"\")\n",
    "ax.set_ylabel(\"\")\n",
    "ax.set_title(\"Land Use/Land Cover 2019\")\n",
    "dams[dams.nhdplus_comid.isin(flw_up[station_id].nhdplus_comid)].plot(\n",
    "    ax=ax, edgecolor=\"k\", c=\"m\", marker=\"^\", markersize=50, label=\"Dam\"\n",
    ")\n",
    "ax.legend(loc=\"upper left\")\n",
    "ax.set_axis_off()\n",
    "\n",
    "fig.savefig(Path(\"_static\", \"dam_impact.png\"), bbox_inches=\"tight\", facecolor=\"w\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": []
   },
   "source": [
    "Now, let's take a look at the differences in land cover types, upstream and downstream of the station. We use `cover_statistics` function of [PyGeoHydro](https://github.com/hyriver/pygeohydro) to get the statistics for each land cover types. For this purpose, first we need to mask the NLCD dataset based on the `direction` attribute of the `catchment` geo-dataframe using `xarray_geomask` function from [PyGeoUtils](https://github.com/hyriver/pygeoutils)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "ut_geom = catchment[catchment.direction == \"upstream\"].unary_union\n",
    "ut_cover = gh.cover_statistics(geoutils.xarray_geomask(nlcd.cover_2019, ut_geom, catchment.crs))\n",
    "\n",
    "dd_geom = catchment[catchment.direction == \"downstream\"].unary_union\n",
    "dd_cover = gh.cover_statistics(geoutils.xarray_geomask(nlcd.cover_2019, dd_geom, catchment.crs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Upstream</th>\n",
       "      <th>Downstream</th>\n",
       "      <th>Upstream - Downstream</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Water</th>\n",
       "      <td>1.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Developed</th>\n",
       "      <td>1.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>-2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barren</th>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest</th>\n",
       "      <td>0.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>-6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shrubland</th>\n",
       "      <td>28.9</td>\n",
       "      <td>12.9</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Herbaceous</th>\n",
       "      <td>62.5</td>\n",
       "      <td>50.4</td>\n",
       "      <td>12.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Planted/Cultivated</th>\n",
       "      <td>3.6</td>\n",
       "      <td>24.4</td>\n",
       "      <td>-20.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wetlands</th>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>-0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Upstream  Downstream  Upstream - Downstream\n",
       "Water                    1.1         0.4                    0.7\n",
       "Developed                1.4         3.6                   -2.2\n",
       "Barren                   1.6         0.4                    1.2\n",
       "Forest                   0.8         7.6                   -6.8\n",
       "Shrubland               28.9        12.9                   16.0\n",
       "Herbaceous              62.5        50.4                   12.1\n",
       "Planted/Cultivated       3.6        24.4                  -20.8\n",
       "Wetlands                 0.1         0.3                   -0.2"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats = pd.DataFrame([ut_cover.categories, dd_cover.categories]).T\n",
    "stats.columns = [\"Upstream\", \"Downstream\"]\n",
    "stats[\"Upstream - Downstream\"] = stats.Upstream - stats.Downstream\n",
    "stats.round(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notably we see that the upstream area has significantly more grassland than downstream, while the downstream catchments have significantly more cropland. The implication is that these dams were constructed to support the transition of grassland to agricultural land."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## Final Remarks\n",
    "\n",
    "This tutorial demonstrated the application of various web services for obtaining hydrolinked geospatial data using only web services. These web services are powerful tools that make big geospatial data more equitable and the rich ecosystem of tools that are available in R and Python facilitate accessing them."
   ]
  }
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