{ "datasets": [ { "id": "rdls_hevl-bgdtmrwcities_chattogram", "title": "Tomorrow's Cities Multi-Hazard Risk Assessment Dataset for Chattogram (Bairag), Bangladesh", "description": "Multi-hazard risk data package for the Bairag area in Chattogram, Bangladesh, providing earthquake and flood hazard layers, synthetic future urban exposure datasets (buildings, households, individuals, land use, road networks) for four community planning scenarios (Civil Society, Farmers/Fishermen, Informal Working, Landless), vulnerability/fragility functions for buildings and infrastructure, and impact assessment results. Developed as part of the Tomorrow's Cities GCRF Urban Disaster Risk Hub project for risk-informed decision making in urban planning.", "risk_data_type": [ "hazard", "exposure", "vulnerability", "loss" ], "version": "1", "purpose": "To support multi-hazard risk assessment and risk-informed urban planning decision making for Chattogram by providing spatial hazard, synthetic future exposure, vulnerability functions, and impact assessment datasets for participatory community planning scenarios.", "project": { "name": "Tomorrow's Cities - GCRF Urban Disaster Risk Hub", "url": "https://tomorrowscities.org/" }, "details": "The dataset includes: (i) earthquake hazard GeoTIFFs for two scenarios - Sc1 using NGA-West2 GMPEs (Abrahamson et al 2014, Boore et al 2014, Campbell & Bozorgnia 2014, Chiou & Youngs 2014) representing active shallow crustal sources, and Sc2 using subduction zone GMPEs (Atkinson & Boore, Zhao et al), each providing PGA and Spectral Acceleration at 0.3s, 0.7s, 1.0s periods in 32-bit and 64-bit precision (48 rasters total); (ii) flood hazard rasters for riverine and pluvial (rainfall) scenarios with water depth as intensity measure, plus NASADEM terrain; (iii) four future exposure dataset variants representing different community planning scenarios, each containing building footprints with structural taxonomy (lateral resistance system, code level, storeys, occupancy), household socio-economic attributes, individual demographic data, land use plans, and road network topology; (iv) fragility functions for earthquake (45 building typologies with 4 damage states) and depth-damage vulnerability functions for flood (495 building typologies at 9 water depths); (v) infrastructure fragility for roads (HAZUS HWB) and power networks (HAZUS ESS); and (vi) impact results for earthquake and flood hazards by community scenario.", "spatial": { "scale": "sub-national", "countries": [ "BGD" ], "bbox": [ 91.8134, 22.2096, 91.8681, 22.2534 ], "gazetteer_entries": [ { "scheme": "GEONAMES", "description": "Bangladesh", "uri": "https://www.geonames.org/1210997/bangladesh.html", "id": "gazetteer_1" }, { "scheme": "GEONAMES", "description": "Chattogram (Chittagong)", "uri": "https://www.geonames.org/1205733/chattogram.html", "id": "gazetteer_2" }, { "scheme": "GEONAMES", "description": "Bairag", "uri": "https://www.geonames.org/11282344/bairag.html", "id": "gazetteer_3" } ] }, "license": "CC0-1.0", "attributions": [ { "id": "attribution_publisher", "role": "publisher", "entity": { "name": "Tomorrow's Cities", "email": "support@tomorrowscities.org", "url": "https://data.tomorrowscities.org/" } }, { "id": "attribution_creator", "role": "creator", "entity": { "name": "Tomorrow's Cities", "email": "support@tomorrowscities.org", "url": "https://data.tomorrowscities.org/" } }, { "id": "attribution_contact", "role": "contact_point", "entity": { "name": "Menteşe, E.Y. - Anofa Engineering, Planning and Informatics Ltd.", "email": "emin.mentese@anofa.co", "url": "https://orcid.org/0000-0002-7187-4384" } }, { "id": "attribution_funder", "role": "funder", "entity": { "name": "Natural Environment Research Council (NERC)", "email": "press@ukri.org", "url": "https://www.ukri.org/councils/nerc/" } }, { "id": "attribution_collaborator", "role": "collaborator", "entity": { "name": "University College London", "email": "servicedesk@ucl.ac.uk", "url": "https://www.ucl.ac.uk/" } } ], "sources": [ { "name": "OpenStreetMap building footprints", "description": "Building footprints derived from OpenStreetMap database, modified and attributed to represent future urban context with structural taxonomy for multi-hazard risk assessment.", "lineage": "OSM data scraped and modified with building attributes including lateral resistance system, code level, storeys, and occupancy type to support vulnerability assessment.", "url": "https://www.openstreetmap.org/", "type": "dataset", "component": "exposure", "license": "ODbL-1.0", "id": "source_1" }, { "name": "Synthetic population generation algorithm", "description": "Bespoke algorithms developed to generate synthetic future population (households and individuals) based on population projections and land use plans through participatory community engagement.", "lineage": "Algorithms coded in MATLAB environment to produce synthetic social data representing future urban scenarios. Methodology described in Menteşe et al. (2023).", "url": "https://doi.org/10.1016/j.ijdrr.2023.103651", "type": "model", "component": "exposure", "license": "Unknown", "id": "source_2" }, { "name": "Earthquake hazard simulation", "description": "Physics-based earthquake ground motion simulation using multiple Ground Motion Prediction Equations (GMPEs). Scenario 1 (Sc1) uses NGA-West2 GMPEs for active shallow crustal sources: Abrahamson et al 2014 (ASK14), Boore et al 2014 (BSSA14), Campbell and Bozorgnia 2014 (CB14), Chiou and Youngs 2014 (CY14). Scenario 2 (Sc2) uses subduction zone GMPEs: Atkinson and Boore, Zhao et al. Each provides PGA and Spectral Acceleration at 0.3s, 0.7s, and 1.0s periods.", "lineage": "Generated following methodology in Jenkins et al. (2023) for physics-based simulations of natural hazards.", "url": "https://doi.org/10.1016/j.ijdrr.2022.103338", "type": "model", "component": "hazard", "license": "Unknown", "id": "source_3" }, { "name": "Flood hazard modelling", "description": "Riverine and pluvial flood simulation providing water depth intensity measures for the Bairag study area.", "lineage": "Flood simulations generated based on hydrological modelling with terrain data from NASADEM.", "type": "model", "component": "hazard", "license": "Unknown", "id": "source_4" }, { "name": "NASADEM Digital Elevation Model", "description": "NASA Digital Elevation Model used as terrain input for flood hazard modelling.", "lineage": "Used as base terrain for flood simulation workflow.", "url": "https://www.earthdata.nasa.gov/esds/competitive-programs/measures/nasadem", "type": "dataset", "component": "hazard", "license": "CC0-1.0", "id": "source_5" }, { "name": "Building fragility functions for earthquake", "description": "Fragility functions defining probability of exceeding damage states (DS1-DS4) as a function of spectral acceleration for 45 building typologies.", "lineage": "Developed based on consultation with local partners and global vulnerability databases. Methodology described in Gentile et al. (2022).", "url": "https://doi.org/10.1016/j.ijdrr.2022.103365", "type": "model", "component": "vulnerability", "license": "Unknown", "id": "source_6" }, { "name": "Depth-damage vulnerability functions for flood", "description": "Vulnerability functions defining damage ratio as a function of water depth for 495 building typologies at 9 water depth levels (0-6m).", "lineage": "Produced based on consultation with local partners and global vulnerability databases such as JRC Global flood depth-damage functions.", "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688", "type": "model", "component": "vulnerability", "license": "Unknown", "id": "source_7" }, { "name": "HAZUS infrastructure fragility functions", "description": "Fragility functions for road (HWB classes) and power network (ESS classes) infrastructure under earthquake loading.", "lineage": "Adapted from HAZUS-MH technical manual for infrastructure vulnerability assessment.", "url": "https://www.fema.gov/flood-maps/tools-resources/flood-map-products/hazus", "type": "model", "component": "vulnerability", "license": "Public Domain", "id": "source_8" } ], "referenced_by": [ { "author_names": [ "Gemma Cremen", "Carmine Galasso", "John McCloskey", "Alejandro Barcena", "Maggie Creed", "Maria Evangelina Filippi", "Roberto Gentile", "Luke T. Jenkins", "Mehmet Kalaycioglu", "Emin Yahya Mentese", "Manoranjan Muthusamy", "Karim Tarbali", "Robert Šakić Trogrlić" ], "name": "A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities", "date_published": "2022-12-29", "url": "https://www.sciencedirect.com/science/article/pii/S2212420922006197", "doi": "https://doi.org/10.1016/j.ijdrr.2022.103400", "id": "reference_1" }, { "author_names": [ "Emin Yahya Menteşe", "Gemma Cremen", "Roberto Gentile", "Carmine Galasso", "Maria Evangelina Filippi", "John McCloskey" ], "name": "Future exposure modelling for risk-informed decision making in urban planning", "date_published": "2023-03-27", "url": "https://www.sciencedirect.com/science/article/pii/S2212420923001310", "doi": "https://doi.org/10.1016/j.ijdrr.2023.103651", "id": "reference_2" }, { "author_names": [ "Roberto Gentile", "Gemma Cremen", "Carmine Galasso", "Luke T. Jenkins", "Vibek Manandhar", "Emin Yahya Menteşe", "Ramesh Guragain", "John McCloskey" ], "name": "Scoring, selecting, and developing physical impact models for multi-hazard risk assessment", "date_published": "2022-10-14", "url": "https://www.sciencedirect.com/science/article/pii/S2212420922005842", "doi": "https://doi.org/10.1016/j.ijdrr.2022.103365", "id": "reference_3" } ], "resources": [ { "title": "Chattogram Multi Hazard Dataset", "description": "Multi-hazard dataset containing: (1) Earthquake hazard rasters for two scenarios - Sc1 using NGA-West2 GMPEs (Abrahamson et al 2014, Boore et al 2014, Campbell & Bozorgnia 2014, Chiou & Youngs 2014) for active shallow crustal sources, and Sc2 using subduction zone GMPEs (Atkinson & Boore, Zhao et al), each providing PGA and SA at 0.3s, 0.7s, 1.0s periods in 32-bit and 64-bit precision (48 rasters total); (2) Flood hazard rasters for riverine and pluvial scenarios with water depth; (3) Terrain DEM from NASADEM; (4) Vulnerability/fragility functions for buildings, roads, and power networks. Data formats: GeoTIFF for hazard rasters, Shapefile for vector flood data, Excel (XLSX) for vulnerability/fragility functions.", "data_format": "GeoTIFF (tif)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-multi-hazard-dataset", "download_url": "https://data.tomorrowscities.org/dataset/91fb3483-5f0b-4eba-8815-59c3abd30889/resource/c40ab1c3-07e4-4bb3-bd9d-6fbf1f7653cb/download/chattogrammultihazarddataset.zip", "id": "resource_hazard_multihazard" }, { "title": "Chattogram Future Exposure Dataset - Civil Society", "description": "Future urban exposure dataset for Civil Society community planning scenario, including building footprints with structural taxonomy, household socio-economic data, individual demographic data, land use plan, and road network. Data formats: GeoJSON for spatial data (buildings, landuse, road network), JSON for tabular data (households, individuals).", "data_format": "GeoJSON (geojson)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-future-exposure-dataset-civil-society", "download_url": "https://data.tomorrowscities.org/dataset/ca37dabd-dd6a-4545-bae9-665943704205/resource/88f85d4b-97ed-49a8-adf7-a02fcd75b747/download/chattogramfutureexposuredataset_civil_society.zip", "temporal": { "duration": "P50Y" }, "id": "resource_exposure_civil_society" }, { "title": "Chattogram Future Exposure Dataset - Farmers Fishermen", "description": "Future urban exposure dataset for Farmers/Fishermen community planning scenario, including building footprints with structural taxonomy, household socio-economic data, individual demographic data, land use plan, and road network. Data formats: GeoJSON for spatial data (buildings, landuse, road network), JSON for tabular data (households, individuals).", "data_format": "GeoJSON (geojson)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-future-exposure-dataset-farmers-fishermen", "download_url": "https://data.tomorrowscities.org/dataset/6f46d7af-e3b0-4fd6-bb68-398213e4ec4f/resource/c4a37c18-022d-4e22-88c3-61ad0d05c775/download/chattogramfutureexposuredataset_farmers_fishermen.zip", "temporal": { "duration": "P50Y" }, "id": "resource_exposure_farmers_fishermen" }, { "title": "Chattogram Future Exposure Dataset - Informal Working", "description": "Future urban exposure dataset for Informal Working community planning scenario, including building footprints with structural taxonomy, household socio-economic data, individual demographic data, land use plan, and road network. Data formats: GeoJSON for spatial data (buildings, landuse, road network), JSON for tabular data (households, individuals).", "data_format": "GeoJSON (geojson)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-future-exposure-dataset-informal-working", "download_url": "https://data.tomorrowscities.org/dataset/07df0763-2441-4b7d-9252-dc209e78d81a/resource/41f36288-6e2f-4e04-9363-9f8bab0150e5/download/chattogramfutureexposuredataset_informal_working.zip", "temporal": { "duration": "P50Y" }, "id": "resource_exposure_informal_working" }, { "title": "Chattogram Future Exposure Dataset - Landless", "description": "Future urban exposure dataset for Landless community planning scenario, including building footprints with structural taxonomy, household socio-economic data, individual demographic data, land use plan, and road network. Data formats: GeoJSON for spatial data (buildings, landuse, road network), JSON for tabular data (households, individuals).", "data_format": "GeoJSON (geojson)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-future-exposure-dataset-landless", "download_url": "https://data.tomorrowscities.org/dataset/5940db5c-e04f-4855-8353-54f2cf2d3466/resource/aafc37fb-1258-466f-a30f-2559bdcc422b/download/chattogramfutureexposuredataset_landless.zip", "temporal": { "duration": "P50Y" }, "id": "resource_exposure_landless" }, { "title": "Chattogram Impact Results - Civil Society", "description": "Impact assessment results for earthquake and flood hazards under the Civil Society community planning scenario, including building damage states and affected population. Data formats: ESRI File Geodatabase (GDB) and GeoJSON.", "data_format": "File Geodatabase (gdb)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-impact-results-civil-society", "download_url": "https://data.tomorrowscities.org/dataset/ccde0b57-a447-4e15-a018-c2a0ab5eaaea/resource/afddc29c-6187-447c-87eb-60866603bc00/download/chattogramimpactresults_civil_society.zip", "id": "resource_impact_civil_society" }, { "title": "Chattogram Impact Results - Farmers", "description": "Impact assessment results for earthquake and flood hazards under the Farmers/Fishermen community planning scenario, including building damage states and affected population. Data formats: ESRI File Geodatabase (GDB) and GeoJSON.", "data_format": "File Geodatabase (gdb)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-impact-results-farmers", "download_url": "https://data.tomorrowscities.org/dataset/6f13c0b5-00c0-4bec-946d-e7644845478c/resource/5243bd1f-d134-4a14-88f6-b6f48a190748/download/chattogramimpactresults_farmers.zip", "id": "resource_impact_farmers" }, { "title": "Chattogram Impact Results - Informal Working", "description": "Impact assessment results for earthquake and flood hazards under the Informal Working community planning scenario, including building damage states and affected population. Data formats: ESRI File Geodatabase (GDB) and GeoJSON.", "data_format": "File Geodatabase (gdb)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-impact-results-informal-working", "download_url": "https://data.tomorrowscities.org/dataset/618b12f3-4839-4b6d-ae50-42d7f09fd7de/resource/cba12127-cdf0-4abd-af8d-2c1babd8c55b/download/chattogramimpactresults_informal_working.zip", "id": "resource_impact_informal_working" }, { "title": "Chattogram Impact Results - Landless", "description": "Impact assessment results for earthquake and flood hazards under the Landless community planning scenario, including building damage states and affected population. Data formats: ESRI File Geodatabase (GDB) and GeoJSON.", "data_format": "File Geodatabase (gdb)", "access_modality": "file_download", "coordinate_system": "EPSG:4326", "access_url": "https://data.tomorrowscities.org/dataset/chattogram-impact-results-landless", "download_url": "https://data.tomorrowscities.org/dataset/3bc2f627-c16a-46ae-9e46-44a0fcc586b3/resource/d0a7a407-92ae-4db5-aabb-cec623611a7d/download/chattogramimpactresults_landless.zip", "id": "resource_impact_landless" } ], "hazard": { "event_sets": [ { "id": "event_set_earthquake_bairag", "analysis_type": "deterministic", "calculation_method": "simulated", "event_count": 2, "hazards": [ { "id": "hazard_earthquake", "type": "earthquake", "hazard_process": "ground_motion", "intensity_measure": "PGA:g" } ], "events": [ { "id": "event_earthquake_bairag_sc1", "description": "Deterministic earthquake Scenario 1 (Sc1) for Bairag area using NGA-West2 GMPEs for active shallow crustal sources: Abrahamson et al 2014 (ASK14), Boore et al 2014 (BSSA14), Campbell and Bozorgnia 2014 (CB14), Chiou and Youngs 2014 (CY14). Provides PGA and Spectral Acceleration at 0.3s, 0.7s, and 1.0s periods. Available in 32-bit and 64-bit precision.", "hazard": { "id": "hazard_earthquake", "type": "earthquake", "hazard_process": "ground_motion", "intensity_measure": "PGA:g" }, "occurrence": { "deterministic": { "index_criteria": "Scenario-based deterministic analysis" } }, "calculation_method": "simulated" }, { "id": "event_earthquake_bairag_sc2", "description": "Deterministic earthquake Scenario 2 (Sc2) for Bairag area using subduction zone GMPEs: Atkinson and Boore, Zhao et al. Provides PGA and Spectral Acceleration at 0.3s, 0.7s, and 1.0s periods. Available in 32-bit and 64-bit precision.", "hazard": { "id": "hazard_earthquake", "type": "earthquake", "hazard_process": "ground_motion", "intensity_measure": "PGA:g" }, "occurrence": { "deterministic": { "index_criteria": "Scenario-based deterministic analysis" } }, "calculation_method": "simulated" } ] }, { "id": "event_set_flood_bairag", "analysis_type": "deterministic", "calculation_method": "simulated", "event_count": 2, "hazards": [ { "id": "hazard_flood", "type": "flood", "hazard_process": "fluvial_flood", "intensity_measure": "wd:m" } ], "events": [ { "id": "event_flood_bairag_riverine", "calculation_method": "simulated", "description": "Riverine flood scenario for Bairag area providing maximum water depth (m) from fluvial flooding simulation.", "hazard": { "id": "hazard_flood", "type": "flood", "hazard_process": "fluvial_flood", "intensity_measure": "wd:m" }, "occurrence": { "deterministic": { "index_criteria": "Scenario-based deterministic analysis" } } }, { "id": "event_flood_bairag_pluvial", "calculation_method": "simulated", "description": "Pluvial (rainfall-induced) flood scenario for Bairag area providing maximum water depth (m) from surface water flooding simulation.", "hazard": { "id": "hazard_flood", "type": "flood", "hazard_process": "pluvial_flood", "intensity_measure": "wd:m" }, "occurrence": { "deterministic": { "index_criteria": "Scenario-based deterministic analysis" } } } ] } ] }, "exposure": [ { "id": "exposure_buildings", "category": "buildings", "taxonomy": "GED4ALL", "metrics": [ { "id": "metric_building_count", "dimension": "structure", "quantity_kind": "count" }, { "id": "metric_building_replacement_value", "dimension": "structure", "quantity_kind": "currency" }, { "id": "metric_building_footprint_area", "dimension": "structure", "quantity_kind": "area" } ] }, { "id": "exposure_population", "category": "population", "taxonomy": "GED4ALL", "metrics": [ { "id": "metric_population_residents", "dimension": "population", "quantity_kind": "count" }, { "id": "metric_population_households", "dimension": "population", "quantity_kind": "count" }, { "id": "metric_population_individuals", "dimension": "population", "quantity_kind": "count" } ] }, { "id": "exposure_infrastructure_roads", "category": "infrastructure", "taxonomy": "GED4ALL", "metrics": [ { "id": "metric_road_length", "dimension": "structure", "quantity_kind": "length" }, { "id": "metric_road_edge_count", "dimension": "structure", "quantity_kind": "count" } ] }, { "id": "exposure_landuse", "category": "economic_indicator", "taxonomy": "GED4ALL", "metrics": [ { "id": "metric_landuse_area", "dimension": "structure", "quantity_kind": "area" } ] } ], "vulnerability": { "functions": { "vulnerability": [ { "approach": "analytical", "relationship": "discrete", "hazard_primary": "flood", "hazard_process_primary": "fluvial_flood", "hazard_analysis_type": "deterministic", "intensity_measure": "wd:m", "category": "buildings", "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "ratio", "taxonomy": "Custom", "analysis_details": "Depth-damage vulnerability functions defining damage ratio as a function of water depth (0-6m at 9 discrete levels: 0, 0.5, 1, 1.5, 2, 3, 4, 5, 6m) for 495 building typologies classified by lateral resistance system (BrCfl, BrCri, Rci), code level (LC, MC, HC), storeys, and occupancy type (Res, Com, Edu, etc.). Functions based on consultation with local partners and JRC global flood depth-damage database.", "id": "vulnerability_function_flood_buildings" } ], "fragility": [ { "approach": "analytical", "relationship": "math_parametric", "hazard_primary": "earthquake", "hazard_process_primary": "ground_motion", "hazard_analysis_type": "deterministic", "intensity_measure": "PGA:g", "category": "buildings", "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "ratio", "taxonomy": "Custom", "analysis_details": "Lognormal fragility functions for 45 building typologies defining probability of exceeding 4 damage states (DS1-DS4) as a function of PGA or spectral acceleration (g). Parameters include median (mu) and dispersion (sigma) for each damage state, with period range (minperiod, maxperiod) for each typology. Building taxonomy follows {LRS}+{CodeLevel}+{Height} pattern where LRS includes RCi (reinforced concrete infill), BrCri (brick with concrete), BrCfl (brick with flexible); CodeLevel includes LC (low code), MC (moderate code), HC (high code); Height includes LR (low-rise), MR (mid-rise), HR (high-rise).", "id": "fragility_function_earthquake_buildings" }, { "approach": "empirical", "relationship": "math_parametric", "hazard_primary": "earthquake", "hazard_process_primary": "ground_motion", "hazard_analysis_type": "deterministic", "intensity_measure": "PGA:g", "category": "infrastructure", "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "ratio", "taxonomy": "HAZUS", "analysis_details": "HAZUS-based fragility functions for road infrastructure (HWB3, HWB5, HWB7 highway bridge classes) defining median PGA and dispersion for 4 damage states (slight, moderate, extensive, complete).", "id": "fragility_function_earthquake_roads" }, { "approach": "empirical", "relationship": "math_parametric", "hazard_primary": "earthquake", "hazard_process_primary": "ground_motion", "hazard_analysis_type": "deterministic", "intensity_measure": "PGA:g", "category": "infrastructure", "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "ratio", "taxonomy": "HAZUS", "analysis_details": "HAZUS-based fragility functions for power network infrastructure (ESS1-ESS18 substation classes at 115/230/500 kV, anchored and unanchored configurations) defining median PGA and dispersion (beta) for 4 damage states (slight, moderate, extensive, complete).", "id": "fragility_function_earthquake_power" } ] }, "socio_economic": [ { "scheme": "Custom", "indicator_name": "Household income level", "indicator_code": "income", "description": "Income level attribute for synthetic households used as socio-economic indicator in the exposure dataset.", "reference_year": 1900, "id": "socioeconomic_income" }, { "scheme": "Custom", "indicator_name": "Education attainment status", "indicator_code": "eduattstat", "description": "Education attainment status for synthetic individuals used as socio-economic indicator in the exposure dataset.", "reference_year": 1900, "id": "socioeconomic_education" } ] }, "loss": { "losses": [ { "hazard_type": "earthquake", "hazard_process": "ground_motion", "asset_category": "buildings", "asset_dimension": "structure", "impact_and_losses": { "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "count", "loss_type": "ground_up", "loss_approach": "analytical", "loss_frequency_type": "deterministic" }, "description": "Building damage state results from earthquake impact assessment for each community planning scenario (Civil Society, Farmers/Fishermen, Informal Working, Landless). Damage states derived by convolving spectral acceleration hazard with building fragility functions.", "id": "loss_earthquake_buildings" }, { "hazard_type": "flood", "hazard_process": "fluvial_flood", "asset_category": "buildings", "asset_dimension": "structure", "impact_and_losses": { "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "damage_ratio", "quantity_kind": "ratio", "loss_type": "ground_up", "loss_approach": "analytical", "loss_frequency_type": "deterministic" }, "description": "Building damage ratio results from flood impact assessment for each community planning scenario (Civil Society, Farmers/Fishermen, Informal Working, Landless). Damage ratios derived by applying depth-damage vulnerability functions to flood water depth hazard.", "id": "loss_flood_buildings" }, { "hazard_type": "earthquake", "hazard_process": "ground_motion", "asset_category": "population", "asset_dimension": "population", "impact_and_losses": { "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "displaced_count", "quantity_kind": "count", "loss_type": "ground_up", "loss_approach": "analytical", "loss_frequency_type": "deterministic" }, "description": "Affected population results from earthquake impact assessment for each community planning scenario, derived from building damage states and residential occupancy.", "id": "loss_earthquake_population" }, { "hazard_type": "flood", "hazard_process": "fluvial_flood", "asset_category": "population", "asset_dimension": "population", "impact_and_losses": { "impact_type": "direct", "impact_modelling": "simulated", "impact_metric": "displaced_count", "quantity_kind": "count", "loss_type": "ground_up", "loss_approach": "analytical", "loss_frequency_type": "deterministic" }, "description": "Affected population results from flood impact assessment for each community planning scenario, derived from building inundation and residential occupancy.", "id": "loss_flood_population" } ] }, "links": [ { "href": "https://docs.riskdatalibrary.org/en/0__3__0/rdls_schema.json", "rel": "describedby" } ] } ] }