---
contact_point:
  email: paola.ceresa@redrisk.com
  name: Paola Ceresa
creator:
  name: Gabriele Coccia
dataset_id: CA_SFRARR_FL
description: Fluvial flood hazard maps for 5,10,20,50,100,200,500,1,000 years return
  period.
details: 'Data from the Strengthening Financial Resilience and Accelerating Risk Reduction
  in Central Asia program (https://www.gfdrr.org/en/program/SFRARR-Central-Asia).

  Seismic vulnerability data for buildings, infrastructure, and population. The approach
  is described in the technical accompanying technical report.'
exposure: null
hazard:
  calculation_method: simulated
  disaster_identifiers: ''
  hazard_analysis_type: probabilistic
  hazard_type: flood
  intensity: fl_wd:m
  occurrence_range: ''
  processes: fluvial_flood
license: CC-BY-SA-4.0
loss: null
project: SFRARR - Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia
publisher:
  name: RED - Risk, Engineering  Development - Pavia (Italy)
  url: https://www.redrisk.com
purpose: Regional risk modelling. These data have been derived on a regional scale
  for the purpose of consistent regional multi-country hazard and risk assessment.
  Application of this information on smaller scales should be done with care. Importantly
  on a local scale, it is often the case that more detailed history and hazard information
  is required to perform such hazard and risk modelling, particularly were applied
  to dimension mitigation structures or strategies., it is often the case that more
  detailed history and hazard information is required to perform such hazard and risk
  modelling, particularly were applied to dimension mitigation structures or strategies
resources:
- coordinate_system: EPSG:4326
  description: 'Fluvial flood hazard maps for the undefended case for 5,10,20,50,100,200,500,1,000
    years return period. Each pixel represents the maximum water depth. In order to
    derive the hazard maps over the entire domain, for each return period an hydraulic
    simulation is performed for each simulation unit domain, feeding the model with
    the hydrograph corresponding to the given return time. These data have been derived
    on a regional scale for the purpose of consistent regional multi-country hazard
    and risk assessment. Application of this information on smaller scales should
    be done with care. Importantly on a local scale, it is often the case that more
    detailed history and hazard information is required to perform such hazard and
    risk modelling, particularly were applied to dimension mitigation structures or
    strategies., it is often the case that more detailed history and hazard information
    is required to perform such hazard and risk modelling, particularly were applied
    to dimension mitigation structures or strategies. FLU_UND_XXy_ZZZ.tif (XX= return
    time, ZZZ= country initials) '
  download_url: https://datacatalog.worldbank.org/search/dataset/0064236
  format: geotiff
  id: CA_SFRARR_FL_UND_Rpmaps
  spatial_resolution: 90
  title: Central Asia undefended fluvial flood hazard maps - current climate
- coordinate_system: EPSG:4326
  description: 'Fluvial flood hazard maps for the defended case for 5,10,20,50,100,200,500,1,000
    years return period. Each pixel represents the maximum water depth. In order to
    derive the hazard maps over the entire domain, for each return period an hydraulic
    simulation is performed for each simulation unit domain, feeding the model with
    the hydrograph corresponding to the given return time. These data have been derived
    on a regional scale for the purpose of consistent regional multi-country hazard
    and risk assessment. Application of this information on smaller scales should
    be done with care. Importantly on a local scale, it is often the case that more
    detailed history and hazard information is required to perform such hazard and
    risk modelling, particularly were applied to dimension mitigation structures or
    strategies., it is often the case that more detailed history and hazard information
    is required to perform such hazard and risk modelling, particularly were applied
    to dimension mitigation structures or strategies. FLU_DEF_XXy_ZZZ.tif (XX= return
    time, ZZZ= country initials) '
  download_url: https://datacatalog.worldbank.org/search/dataset/0064232
  format: geotiff
  id: CA_SFRARR_FL_DEF_Rpmaps
  spatial_resolution: 90
  title: Central Asia defended fluvial flood hazard maps - current climate
- coordinate_system: EPSG:4326
  description: 'Fluvial flood hazard maps for the 2080 scenario (climate change) for
    5,10,20,50,100,200,500,1,000 years return period. Each pixel represents the maximum
    water depth. In order to derive the hazard maps over the entire domain, for each
    return period an hydraulic simulation is performed for each simulation unit domain,
    feeding the model with the hydrograph corresponding to the given return time.
    These data have been derived on a regional scale for the purpose of consistent
    regional multi-country hazard and risk assessment. Application of this information
    on smaller scales should be done with care. Importantly on a local scale, it is
    often the case that more detailed history and hazard information is required to
    perform such hazard and risk modelling, particularly were applied to dimension
    mitigation structures or strategies., it is often the case that more detailed
    history and hazard information is required to perform such hazard and risk modelling,
    particularly were applied to dimension mitigation structures or strategies. FLU_CC_XXy_ZZZ.tif
    (XX= return time, ZZZ= country initials) '
  download_url: https://datacatalog.worldbank.org/search/dataset/0064238
  format: geotiff
  id: CA_SFRARR_FL_CC_Rpmaps
  spatial_resolution: 90
  title: Central Asia undefended fluvial flood hazard maps - 2080 cliamte projections
risk_data_type:
- hazard
schema: rdl-02
spatial:
  bbox:
  - 46
  - 88
  - 34
  - 57
  countries:
  - KAZ
  - KGZ
  - TKM
  - TJK
  - UZB
  scale: regional
title: Central Asia flood hazard maps - fluvial
version: '2022'
vulnerability: null
---