Chapter
Apr 26, 2012
GIS-Based Prediction of Hurricane Flood Inundation
Authors: D. Judi, A. Kalyanapu, S. Burian [email protected], S. Linger, A. Berscheid, and T. McPhersonAuthor Affiliations
Publication: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat
Abstract
A simulation environment is being developed for the prediction and analysis of the inundation consequences for infrastructure systems from extreme flood events. This decision support architecture includes a GIS-based environment for model input development, simulation integration tools for meteorological, hydrologic, and infrastructure system models and damage assessment tools for infrastructure systems. The GIS-based environment processes digital elevation models (30-m from the USGS), land use/cover (30-m NLCD), stream networks from the National Hydrography Dataset (NHD) and soils data from the NRCS (STATSGO) to create stream network, subbasins, and cross-section shapefiles for drainage basins selected for analysis. Rainfall predictions are made by a numerical weather model and ingested in gridded format into the simulation environment. Runoff hydrographs are estimated using Green-Ampt infiltration excess runoff prediction and a 1D diffusive wave overland flow routing approach. The hydrographs are fed into the stream network and integrated in a dynamic wave routing module using the EPA's Storm Water Management Model (SWMM) to predict flood depth. The flood depths are then transformed into inundation maps and exported for damage assessment. Hydrologic∖hydraulic results are presented for Tropical Storm Allison.
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© 2007 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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D. Judi
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112 and Los Alamos National Laboratory, Los Alamos NM 87545
A. Kalyanapu
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112;. E-mail: [email protected]
S. Linger
Los Alamos National Laboratory, Los Alamos NM 87545
A. Berscheid
Los Alamos National Laboratory, Los Alamos NM 87545
T. McPherson
Los Alamos National Laboratory, Los Alamos NM 87545
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