Details:

Journal Title:
JAWRA Journal of the American Water Resources Association
Personal Author:
Zheng, Xing ; D'Angelo, Claudia ; Maidment, David R. ; Passalacqua, Paola
Zheng, Xing ; D'Angelo, Claudia ; Maidment, David R. ; Passalacqua, Paola Less -
NOAA Program & Office:
NOAA General Documents
Description:
Flood modeling provides inundation estimates and improves disaster preparedness and response. Recent development in hydrologic modeling and inundation mapping enables the creation of such estimates in near real time. To quantify their performance, these estimates need to be compared to measurements collected during historical events. We present an application of a flood mapping system based on the National Water Model and the Height Above Nearest Drainage method to Hurricane Harvey. The outputs are validated with high‐water marks collected to record the highest water levels during the flood. We use these points to compute elevation‐related variables and flood extents and measure the quality of the estimates. To improve the performance of the method, we calibrate the roughness coefficient based on stream order. We also use lidar data with a workflow named GeoFlood and we compare the modeled inundation to that recorded by the high‐water marks and to the maximum inundation extent provided by the Dartmouth Flood Observatory based on remotely sensed data from multiple sources. The results show that our mapping system estimates local water depth with a mean error of about 0.5 m and that the inundation extent covers over 90% of that derived from high‐water marks. Using a calibrated roughness coefficient and lidar data reduces the mean error in flood depth but does not affect as much the inundation extent estimation.
Keywords:
[+]
Earth-Surface Processes Ecology Water Science And Technology
Source:
JAWRA Journal of the American Water Resources Association, 58(2), 149-163
DOI:
https://doi.org/10.1111/1752-1688.12987
ISSN:
1093-474X;1752-1688;
Format:
PDF
Publisher:
Wiley
Document Type:
Journal Article
Rights Information:
Accepted Manuscript
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:7dba05eeea7331b15ce22bcb18ad73d5ea445437bb292e0902eba91e0fb9db68
Download URL:
https://repository.library.noaa.gov/view/noaa/57036/noaa_57036_DS1.pdf
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