干旱区生态环境知识资源中心(Arid): Improving robustness of water supply system using a multi-objective robust optimization framework

Arid

DOI	10.1016/j.envres.2023.116270
	Improving robustness of water supply system using a multi-objective robust optimization framework
	Mahdi, Moudi; Xueqian, Song; Gai, Qiuyan; Basirialmahjough, Mahdi; Yuan, He
通讯作者	Yuan, H
来源期刊	ENVIRONMENTAL RESEARCH
ISSN	0013-9351
EISSN	1096-0953
出版年	2023
卷号	232
英文摘要	Due to the uncertainty of rainfall and water demand, the water supply of various participants has been challenged in such a way that this challenge has accelerated the failure of water supply system. Thus, this study proposes a multi-stage Adjustable Robust Optimization integrated to the multi-objective programming framework to drive water supply system to the failure safety zone and thereby improve robustness of system under different scenarios. Indeed, Adjustable Robust Optimization framework is applied to investigate the two uncertain factors of rainfall and water demand. A real arid area of Sistan basin in southeastern Iran is considered to analyze the proposed multi-objective programming model. Next, various comparative feasibilities under different levels of uncertainty are carried out to examine the robustness status in more detail. In the following, due to the deterioration of climatic patterns in the coming years, some managerial insights are highlighted. According to the final outputs, the domestic sector has reached more optimal value compared to that of the agricultural and industrial participants in all objectives due to less water intake, and as a result, it has a significant impact on the robustness of water supply system.
英文关键词	Multi-objective framework Adjustable robust optimization Failure safety System robustness
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001018666200001
WOS关键词	CHAHNIMEH RESERVOIRS ; VULNERABILITY ; RELIABILITY ; RESILIENCE ; RISK
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396213
推荐引用方式 GB/T 7714	Mahdi, Moudi,Xueqian, Song,Gai, Qiuyan,et al. Improving robustness of water supply system using a multi-objective robust optimization framework[J],2023,232.
APA	Mahdi, Moudi,Xueqian, Song,Gai, Qiuyan,Basirialmahjough, Mahdi,&Yuan, He.(2023).Improving robustness of water supply system using a multi-objective robust optimization framework.ENVIRONMENTAL RESEARCH,232.
MLA	Mahdi, Moudi,et al."Improving robustness of water supply system using a multi-objective robust optimization framework".ENVIRONMENTAL RESEARCH 232(2023).