干旱区生态环境知识资源中心(Arid): Simulation-based multi-objective optimization framework for sustainable management of coastal aquifers in semi-arid regions

Arid

DOI	10.1016/j.jenvman.2023.117785
	Simulation-based multi-objective optimization framework for sustainable management of coastal aquifers in semi-arid regions
	Hesamfar, Farshad; Ketabchi, Hamed; Ebadi, Taghi
通讯作者	Ketabchi, H
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2023
卷号	338
英文摘要	Groundwater is a strategic source of water supply, especially in arid and semi-arid coastal regions. Growing demand, along with scarce water sources, may impose intense pressure on this precious resource. This pressure will degrade water quality for future use and cause social inequality, despite supplying current needs. A novel sustainable management model for water allocation is developed to address these interconnected concerns in coastal aquifers. Three aspects of sustainable development are considered: groundwater quality with total dissolved solids (TDS) indicator for the environmental part, gross value added from water for the economic efficiency, and the Gini coefficient for social inclusion and equity. The problem is solved with a simulation-based multi-objective optimization framework using a numerical variable-density simulation code and three approved evolutionary algorithms, NSGA-II, NRGA, and MOPSO. The obtained solutions are integrated to enhance the solutions' quality by using each algorithm's strengths and dominated members' elimination. In addition, the optimization algorithms are compared. The results showed that NSGA-II is the best in terms of solutions quality, with the least number of total dominated members (20.43%) and a 95% success rate of obtained Pareto front. NRGA was supreme in finding extreme solutions, the least computational time, and diversity, with an 11.6% higher diversity value than the second competitive NSGA-II. MOPSO was the best in spacing quality indicator, followed by NSGA-II, showing their great arrangement and evenness in obtained solution space. MOPSO has the propensity for premature convergence and needs more stringent stopping criteria. The method is applied to a hypothetical aquifer. Still, the obtained Pareto fronts are determined to assist decision-makers in real-world coastal sustainable management problems by illustrating existing patterns among different objectives.
英文关键词	Multi -objective optimization Seawater intrusion Pumping scheme Groundwater management Sustainable development Gini coefficient
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000976356300001
WOS关键词	FRESH-WATER LENS ; SEAWATER INTRUSION ; EVOLUTIONARY ALGORITHMS ; GROUNDWATER ; ALLOCATION ; EQUITY ; RESOURCES ; ISLAND ; EFFICIENCY ; BASIN
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397285
推荐引用方式 GB/T 7714	Hesamfar, Farshad,Ketabchi, Hamed,Ebadi, Taghi. Simulation-based multi-objective optimization framework for sustainable management of coastal aquifers in semi-arid regions[J],2023,338.
APA	Hesamfar, Farshad,Ketabchi, Hamed,&Ebadi, Taghi.(2023).Simulation-based multi-objective optimization framework for sustainable management of coastal aquifers in semi-arid regions.JOURNAL OF ENVIRONMENTAL MANAGEMENT,338.
MLA	Hesamfar, Farshad,et al."Simulation-based multi-objective optimization framework for sustainable management of coastal aquifers in semi-arid regions".JOURNAL OF ENVIRONMENTAL MANAGEMENT 338(2023).