Journal article
Sensitivity of Probable Maximum Flood in a Changing Environment
Water Resources Research, Vol.54(6), pp.3913-3936
2018
Abstract
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. 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.
Details
- Title
- Sensitivity of Probable Maximum Flood in a Changing Environment
- Authors
- S Gangrade (Author) - University of Tennessee, United StatesS-C Kao (Corresponding Author) - University of Tennessee, United StatesB S Naz (Author) - Research Centre Julich, GermanyD Rastogi (Author) - University of Tennessee, United StatesM Ashfaq (Author) - University of Tennessee, United StatesN Singh (Author)Benjamin Preston (Author) - RAND Corporation, United States
- Publication details
- Water Resources Research, Vol.54(6), pp.3913-3936
- Publisher
- Wiley-Blackwell Publishing Inc.
- Date published
- 2018
- DOI
- 10.1029/2017WR021987
- ISSN
- 0043-1397; 0043-1397
- Organisation Unit
- University of the Sunshine Coast, Queensland; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99451465302621
- Output Type
- Journal article
Metrics
60 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Environmental Sciences
- Limnology
- Water Resources
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites