Data For Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method
|Authors:||Irene Garousi-Nejad · David Tarboton · Mahyar Aboutalebi · Alfonso Faustino Torres-Rua|
|Owners:||David Tarboton · Irene Garousi-Nejad|
|Resource type:||Composite Resource|
|Created:||Dec 31, 2018 at 5:38 p.m.|
|Last updated:||Jan 07, 2019 at 10:23 p.m. by Irene Garousi-Nejad|
This resource contains the input/output and scripts used for Terrain Analysis Enhancements to the Height Above Nearest Drainage Flood Inundation Mapping Method research which is submitted to the peer-reviewed journal of Water Resources Research and is not formally published on HydroShare in case any change are needed during the review process. Once the paper is accepted, a DOI will be used to cite this resource in the paper.
The abstract from the paper follows:
Flood inundation remains challenging to map, model, and forecast because it requires detailed representation of the hydrologic and hydraulic processes. Recently, an empirical approach, Continental-Scale Flood Inundation Mapping (CFIM), having fewer data demands has been suggested. This uses the National Water Model forecast discharge with the Height Above Nearest Drainage (HAND) calculated from a digital elevation model to approximate reach-averaged hydraulic properties, estimate a synthetic rating curve, and map near real-time flood inundation from stage. In 2017, a record flood occurred on the Bear River due to rapid snowmelt, and in this study we evaluated the CFIM method over the river section where this flooding occurred. We compared modeled flood inundation with flood inundation observed in high-resolution Planet CubeSat imagery. Differences were attributed to differences in observed and forecast discharges, but also notably due to shortcomings in the derivation of HAND from the national elevation dataset as implemented in CFIM, and possibly due to sub optimal Manning’s n hydraulic roughness parameter. Examining these differences helped us understand limitations in the HAND terrain analysis methodology. We present a set of improvements developed to overcome some of the limitations and advance the outcome of CFIM that include conditioning the topography using high resolution hydrography, dispersing nodes used to subdivide the river into reaches and catchments, and using a high-resolution digital elevation model. We also suggest an approach to obtain reach specific Manning’s n from observed inundation. The proposed improvements have the potential to improve the CFIM methodology.
TauDEM,Bear River,Terrain Analysis,Conditioned DEM,Height Above Nearest Drainage,Planet CubeSat Imagery,Flow Direction Conditioning,Flood Inundation Mapping,HAND
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|Irene Garousi-Nejad||Utah State University|
|David Tarboton||Utah State University||Utah, US||4357973172||ORCID|
|Mahyar Aboutalebi||Utah State University|
|Alfonso Faustino Torres-Rua||Utah State University||Utah, US||4357970397||GoogleScholarID|
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