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Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures - CUAHSI Summer Institute 2024


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Created: Jul 22, 2024 at 3:34 p.m.
Last updated: Jul 22, 2024 at 10:10 p.m.
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Content types: Geographic Raster Content 
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Abstract

This data repository is connected with the CUAHSI Summer Institute 2024 program, SHARP FIM group.

The data includes flood inundation maps developed using three models (HEC-RAS, OWP HAND-FIM, FLDPLN) for two dam break model scenarios of the Fall River Lake dam, Kansas. The first scenario considered the reservoir at full capacity (dam crest level) and the second scenario considered the reservoir was at the normal pool level (Sunny day failure).

The title of the report: Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures".

The abstract of the report:

Dam operations and catastrophic failures can severely impact lives and properties. While conventional hydrodynamic models can generate flood inundation maps using numerical methods to solve shallow water equations, these models are complex and computationally intensive. This study uses two terrain-based models, OWP HAND-FIM and FLDPLN, to generate the inundation maps for near real-time operational applications. The dam-break flood hydrograph is empirically calculated as a function of the normal reservoir pool level. The Fall River Dam in Kansas is used as a case study. The peak discharges are attenuated along downstream reaches using a simple analytical solution derived from the diffusive wave equation. These are used to generate flood inundation maps using the two terrain-based models. The maps are evaluated using a benchmark HEC-RAS model with quantitative metrics and flood impacts are analyzed. The results show that terrain-based models can effectively generate flood inundation maps, with the OWP HAND-FIM model achieving an accuracy of 92.1% and the FLDPLN model with an accuracy of 87.5%. The computation runtime for the approach is very short, just a few minutes compared to 17 hours for HEC-RAS. The proposed approach of mapping dam-break inundation can provide near real-time flood impact assessment and scalability for dams across the USA.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
37.6844°
East Longitude
-95.7527°
South Latitude
37.4558°
West Longitude
-96.1324°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

How to Cite

Nemnem, A., S. BALACHANDRAN, R. Saleh Alipour, p. nikrou (2024). Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures - CUAHSI Summer Institute 2024, HydroShare, http://www.hydroshare.org/resource/77811f2536474582b3f63a6f78a652d2

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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