Improved accuracy and efficiency of flood inundation mapping of low-, medium-, and high-flow events using the AutoRoute model

Follum, Michael L.; Vera, Ricardo; Tavakoly, Ahmad A.; Gutenson, Joseph L.

doi:10.5194/nhess-20-625-2020

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Improved accuracy and efficiency of flood inundation mapping of low-, medium-, and high-flow events using the AutoRoute model

2020
By Follum, Michael L. ; Vera, Ricardo ; Tavakoly, Ahmad A. ; ...
Source: Natural Hazards and Earth System Sciences, 20(2), 625-641

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Journal Title:

Natural Hazards and Earth System Sciences
Personal Author:

Follum, Michael L. ; Vera, Ricardo ; Tavakoly, Ahmad A. ; Gutenson, Joseph L.

Follum, Michael L. ; Vera, Ricardo ; Tavakoly, Ahmad A. ; Gutenson, Joseph L. Less -
NOAA Program & Office:

NWS (National Weather Service) ; OWP (Office of Water Prediction)

NWS (National Weather Service) ; OWP (Office of Water Prediction) Less -
Description:

This article presents improvements and the development of a postprocessing module for the regional-scale flood mapping tool, AutoRoute. The accuracy of this model to simulate low-, medium-, and high-flow-rate scenarios is demonstrated at seven test sites within the US. AutoRoute is one of the tools used to create high-resolution flood inundation maps at regional to continental scales, but it has previously only been tested using extreme flood events. Modifications to the AutoRoute model and postprocessing scripts are shown to improve accuracy (e.g., average F value increase of 17.5 % for low-flow events) and computational efficiency (simulation time reduced by over 40 %) when compared to previous versions. Although flood inundation results for low-flow events are shown to be comparable with published values (average F value of 63.3 %), the model results tend to be overestimated, especially in flatter terrain. Higher-flow scenarios tend to be more accurately simulated (average F value of 77.5 %). With improved computational efficiency and the enhanced ability to simulate both low- and high-flow scenarios, the AutoRoute model may be well suited to provide first-order estimates of flooding within an operational, regional- to continental-scale hydrologic modeling framework.
Source:

Natural Hazards and Earth System Sciences, 20(2), 625-641
DOI:

https://doi.org/10.5194/nhess-20-625-2020
Document Type:

Journal Article
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:1f4784059028832a309904d0aea98f795c721b989de758e7cdcad4ef2b832224
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https://repository.library.noaa.gov/view/noaa/51568/noaa_51568_DS1.pdf
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