Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages

Societal risks from flooding are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Assessing flood risks across broad geographical regions is a challenge, and often done using streamflow time-series records or hydrologic models. In this study, we used a national-scale hydrological model to identify, assess, and map 16 different streamflow metrics that could be used to describe flood risks across 34,987 HUC12 subwatersheds within the Mississippi-Atchafalaya River Basin (MARB). A clear spatial difference was observed among two different classes of metrics. Watersheds in the eastern half of the MARB exhibited higher overall flows as characterized by the mean, median, and maximum daily values, whereas western MARB watersheds were associated with flood indicative of high extreme flows such as skewness, standardized streamflow index and top days. Total agricultural and building losses within HUC12 watersheds were related to flood metrics and those focused on higher overall flows were more correlated to expected annual losses (EAL) than extreme value metrics. Results from this study are useful for identifying continental scale patterns of flood risks within the MARB and should be considered a launching point from which to improve the connections between watershed scale risks and the potential use of natural infrastructure practices to reduce these risks.

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Publication Details

Journal
PLoS ONE
Published
2024-10-09
DOI
https://doi.org/10.1371/journal.pone.0307486
Citations
5
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.41

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article

Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages

Jerry Mount, Keith E. Schilling, Philip W. Gassman, Kelly M. Suttles et al.
5 citations
PLoS ONE
Flood Risk Assessment and Management
1.41
article

Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages

Jerry Mount, Keith E. Schilling, Philip W. Gassman, Kelly M. Suttles, Natalja Čerkasova, Michael J. White, Elliot Anderson, Jeffrey G. Arnold
article en
5 citations

Abstract

Societal risks from flooding are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Assessing flood risks across broad geographical regions is a challenge, and often done using streamflow time-series records or hydrologic models. In this study, we used a national-scale hydrological model to identify, assess, and map 16 different streamflow metrics that could be used to describe flood risks across 34,987 HUC12 subwatersheds within the Mississippi-Atchafalaya River Basin (MARB). A clear spatial difference was observed among two different classes of metrics. Watersheds in the eastern half of the MARB exhibited higher overall flows as characterized by the mean, median, and maximum daily values, whereas western MARB watersheds were associated with flood indicative of high extreme flows such as skewness, standardized streamflow index and top days. Total agricultural and building losses within HUC12 watersheds were related to flood metrics and those focused on higher overall flows were more correlated to expected annual losses (EAL) than extreme value metrics. Results from this study are useful for identifying continental scale patterns of flood risks within the MARB and should be considered a launching point from which to improve the connections between watershed scale risks and the potential use of natural infrastructure practices to reduce these risks.

PLoS ONEVol. 19(10)
University of Iowa (US), United States Geological Survey (US), Environmental Defense Fund (US), Agricultural Research Service (US), Iowa State University (US), Grassland, Soil and Water Research Laboratory (US)
National Science Foundation, U.S. Department of Agriculture, Environmental Defense Fund
Openalex Percentile: Top 19%
Flood Risk Assessment and Management
1.41
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