干旱区生态环境知识资源中心(Arid): Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods

Arid

DOI	10.1016/j.agwat.2021.107162
	Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods
	Dariane, A. B.; Ghasemi, M.; Karami, F.; Azaranfar, A.; Hatami, S.
通讯作者	Dariane, AB (corresponding author), KN Toosi Univ Technol, Deptof Civil Engn, Tehran, Iran.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2021
卷号	257
英文摘要	Crop pattern determination is an essential step toward proper water resources management in irrigated agricultural development, especially in arid and in semi-arid regions. In this paper, we propose a method for determining short-term optimal crop pattern by developing a suitable model for a four-reservoir system in the Karun basin including Karun 1, 3, and 4, and Gotvand reservoirs in Iran. The model satisfies multiple objectives including hydropower, municipal, industrial, agricultural, and environmental purposes. To achieve this goal, we examined two heuristic many-objective algorithms including SPEA2 and NSGA-III. Many-objective algorithms provide a Pareto front of optimal solutions. However in practice we need to know an exact solution of crop pattern. To overcome this problem, a novel application of social choice (SC) is accomplished. The results indicate the superiority of NSGA-III over SPEA2. Comparison of the results for the minimization objective functions shows that the average values of municipal, agricultural, environmental and hydropower obtained with the NSGA-III algorithm are 0.22, 6.73, 0.49 and 1.72, respectively, whereas in SPEA2 they are 0.72, 9.47, 2.05 and 4.72. This finding also emphasizes the importance of improvements necessary in solution algorithms for complicated water resources problems.
英文关键词	Many-objective optimization Optimal crop pattern Multi-reservoir operation NSGA-III SPEA2 Social choice
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000703508100009
WOS关键词	MULTIOBJECTIVE OPTIMIZATION ; MULTIRESERVOIR SYSTEMS ; IRRIGATION PROJECT ; GENETIC ALGORITHM ; WATER ALLOCATION ; OPERATION ; MODEL ; MANAGEMENT ; FRAMEWORK
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362384
作者单位	[Dariane, A. B.; Ghasemi, M.] KN Toosi Univ Technol, Deptof Civil Engn, Tehran, Iran; [Karami, F.] Ghods Niroo Consulting, Tehran, Iran; [Azaranfar, A.] Mahab Ghods Consulting, Tehran, Iran; [Hatami, S.] Concordia Univ, Dept Bui Civil & Env Engn, Montreal, PQ, Canada
推荐引用方式 GB/T 7714	Dariane, A. B.,Ghasemi, M.,Karami, F.,et al. Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods[J],2021,257.
APA	Dariane, A. B.,Ghasemi, M.,Karami, F.,Azaranfar, A.,&Hatami, S..(2021).Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods.AGRICULTURAL WATER MANAGEMENT,257.
MLA	Dariane, A. B.,et al."Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods".AGRICULTURAL WATER MANAGEMENT 257(2021).