Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017WR021987 |
Sensitivity of Probable Maximum Flood in a Changing Environment | |
Gangrade, Sudershan1,2,3; Kao, Shih-Chieh1,2,3; Naz, Bibi S.4; Rastogi, Deeksha1,2,5; Ashfaq, Moetasim1,2,5; Singh, Nagendra5; Preston, Benjamin L.6 | |
2018-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:6页码:3913-3936 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Germany |
英文摘要 | 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. |
英文关键词 | probable maximum flood climate change land use land cover change DHSVM ACT |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000440309900010 |
WOS关键词 | DAILY SOLAR-RADIATION ; CLIMATE-CHANGE ; UNITED-STATES ; LAND-COVER ; PRECIPITATION PMP ; VEGETATION MODEL ; EXTREME FLOODS ; DESIGN FLOOD ; STREAM-FLOW ; HYDROLOGY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22062 |
专题 | 资源环境科学 |
作者单位 | 1.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37830 USA; 2.Univ Tennessee, Bredesen Ctr, Knoxville, TN 37996 USA; 3.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA; 4.Res Ctr Julich FZJ, Inst Bio & Geosci Agrosphere IBG 3, Julich, Germany; 5.Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN USA; 6.RAND Corp, Santa Monica, CA USA |
推荐引用方式 GB/T 7714 | Gangrade, Sudershan,Kao, Shih-Chieh,Naz, Bibi S.,et al. Sensitivity of Probable Maximum Flood in a Changing Environment[J]. WATER RESOURCES RESEARCH,2018,54(6):3913-3936. |
APA | Gangrade, Sudershan.,Kao, Shih-Chieh.,Naz, Bibi S..,Rastogi, Deeksha.,Ashfaq, Moetasim.,...&Preston, Benjamin L..(2018).Sensitivity of Probable Maximum Flood in a Changing Environment.WATER RESOURCES RESEARCH,54(6),3913-3936. |
MLA | Gangrade, Sudershan,et al."Sensitivity of Probable Maximum Flood in a Changing Environment".WATER RESOURCES RESEARCH 54.6(2018):3913-3936. |
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