Arid
DOI10.1016/j.jhydrol.2018.05.037
A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity
Zhao, Gang1; Gao, Huilin1; Kao, Shih-Chieh2,3; Voisin, Nathalie4; Naz, Bibi S.5
通讯作者Gao, Huilin
来源期刊JOURNAL OF HYDROLOGY
ISSN0022-1694
EISSN1879-2707
出版年2018
卷号563页码:22-32
英文摘要

The future resilience of water supply systems is unprecedentedly challenged by non-stationary processes, such as fast population growth and a changing climate. A thorough understanding of how these non-stationarities impact water supply resilience is vital to support sustainable decision making, particularly for large cities in arid and/or semi-arid regions. In this study, a novel modeling framework, which integrates hydrological processes and water management, was established over a representative water limited metropolitan area to evaluate the impacts of water availability and water demand on reservoir storage and water supply reliability. In this framework, climate change induced drought events were selected from statistically downscaled Coupled Model Intercomparison Project Phase 5 outputs under the Representative Concentration Pathway 83 scenario, while future water demand was estimated by the product of projected future population and per capita water use. Compared with the first half of the 21st century (2000-2049), reservoir storage and water supply reliability during the second half century (2050-2099) are projected to reduce by 16.1% and 14.2%, respectively. While both future multi-year droughts and population growth will lower water supply resilience, the uncertainty associated with future climate projection is larger than that associated with urbanization. To reduce the drought risks, a combination of mitigation strategies (e.g., additional conservation, integrating new water sources, and water use redistribution) was found to be the most efficient approach and can significantly improve water supply reliability by as much as 15.9%.


英文关键词Water supply resilience Non-stationarity Droughts Climate change Demand growth
类型Article
语种英语
国家USA ; Germany
收录类别SCI-E ; SSCI
WOS记录号WOS:000441492700003
WOS关键词CLIMATE-CHANGE ; FLOOD FREQUENCY ; GLOBAL DROUGHT ; RIVER-BASIN ; IMPACTS ; UNCERTAINTY ; SUSTAINABILITY ; URBANIZATION ; 21ST-CENTURY ; RESOURCES
WOS类目Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Engineering ; Geology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/211071
作者单位1.Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA;
2.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA;
3.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37831 USA;
4.Pacific Northwest Natl Lab, Hydrol Grp, Richland, WA 99352 USA;
5.Forschungszentrum Julich, Inst Bio & Geosci Agrosphere IBG 3, D-52428 Julich, Germany
推荐引用方式
GB/T 7714
Zhao, Gang,Gao, Huilin,Kao, Shih-Chieh,et al. A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity[J],2018,563:22-32.
APA Zhao, Gang,Gao, Huilin,Kao, Shih-Chieh,Voisin, Nathalie,&Naz, Bibi S..(2018).A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity.JOURNAL OF HYDROLOGY,563,22-32.
MLA Zhao, Gang,et al."A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity".JOURNAL OF HYDROLOGY 563(2018):22-32.
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