Fluvial flood hazard is calculated based on probabilistic hydrological analysis models (precipitation into runoff) and hydrodynamic analysis (runoff into river flow and inundation, and flow over floodplain areas).
Reference coordinate system | EPSG:32642 |
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Spatial Resolution (meters) | 90 |
Reference coordinate system | EPSG:32642 |
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Spatial Resolution (meters) | 90 |
Reference coordinate system | EPSG:32642 |
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Spatial Resolution (meters) | 10 |
Reference coordinate system | EPSG:32642 |
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Spatial Resolution (meters) | 90 |
Hazard type | Flood |
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Processes | Fluvial Flood |
Intensity | Flood water depth (m) |
Hazard Analysis Type | |
Calculation Method | Simulated |
Occurrence Range | 5, 10, 20, 50, 100, 250, 500, 1000 years, 5, 100, 1000 years |
ID of dataset | AFG_hzd-flood |
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Publisher of dataset | GFDRR |
Dataset version | 2018 |
Data purpose | These maps have been derived on a nation-wide scale for the purpose of identifying high risk- areas on the district and provincial scale, from which decisions can be made on allocating efforts for more detailed site specific hazard and risk analysis. Use of this information on smaller scales should be applied with care. Importantly for on a local scale, it is often the case that more detailed case history and hazard information is required to perform such hazard and risk modelling, particularly where applied to dimension mitigation structures or strategies. |
Project that produced the dataset | Afghanistan Multi-hazard risk assessment |
Additional details | To better understand natural hazard and disaster risk, the World Bank and Global Facility for Disaster Reduction and Recovery (GFDRR) supported the development of new fluvial flood, flash flood, drought, landslide, avalanche and seismic risk information in Afghanistan, as well as a frst-order analysis of the costs and benefts of resilient reconstruction and risk reduction strategies. This publication describes the applied methods and main results of the project. |
Creator | GFDRR |
Contact Point | Pierre Chrzanowski |
License | CC-BY-4.0 |