Sensitivity of Probable Maximum Flood in a Changing Environment

Gangrade, Sudershan; Kao, Shih -Chieh; Naz, Bibi S.; Rastogi, Deeksha; Ashfaq, Moetasim; Singh, Nagendra; Preston, Benjamin L.

doi:10.1029/2017WR021987

Sensitivity of Probable Maximum Flood in a Changing Environment

Journal Article · Fri Apr 27 00:00:00 EDT 2018 · Water Resources Research

DOI:https://doi.org/10.1029/2017WR021987· OSTI ID:1462900

^[1]; ^[1]; ^[2]; Rastogi, Deeksha ^[1]; ^[1]; ^[3]; ^[4]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
Research Centre Julich (FZJ), Julich (Germany)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
RAND Corp., Santa Monica, CA (United States)

With likely increases in probable maximum precipitation (PMP) in a changing environment, critical infrastructures such as major reservoirs and nuclear power plants are subject to elevated risk. To understand how factors such as PMP variability, climate change, land use land cover (LULC) change, antecedent soil moisture conditions, and reservoir storage may individually or jointly affect the magnitude of probable maximum flood (PMF), we conducted integrated hydrometeorological simulations involving both the Weather Research Forecasting model and the distributed hydrologic model (DHSVM) over the Alabama–Coosa–Tallapoosa (ACT) River Basin in the southeastern United States. A total of 120 relative humidity–maximized PMP storms under historic and projected future climate conditions were used to drive DHSVM in current and projected future LULC conditions. Overall, PMP and PMF are projected to increase significantly over the ACT River Basin. Sources of meteorological forcing data sets and climate change were found to be the most sensitive factors affecting PMF, followed by antecedent soil moisture, reservoir storage, and then LULC change. In conclusion, the ensemble of PMP and PMF simulations, along with their sensitivity, allows us to better quantify the potential risks associated with hydroclimatic extreme events to critical infrastructures for energy–water security.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1462900

Alternate ID(s):: OSTI ID: 1441063

Journal Information:: Water Resources Research, Journal Name: Water Resources Research Journal Issue: 6 Vol. 54; ISSN 0043-1397

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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