干旱区生态环境知识资源中心(Arid): A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System

Arid

DOI	10.3390/su11010024
	A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System
	Guo, Shanshan 1; Zhang, Fan 1; Zhang, Chenglong 1; An, Chunjiang 2; Wang, Sufen 1; Guo, Ping 1
通讯作者	Wang, Sufen ; Guo, Ping
来源期刊	SUSTAINABILITY
ISSN	2071-1050
出版年	2019
卷号	11 期号:1
英文摘要	Due to population growth, environmental pollution and climate change, the lack of water resources has become a critical factor which threatens sustainable agricultural development. Reasonable irrigation scheduling strategies can reduce the waste of water and enhance agricultural water-use efficiency. In the present study, the decomposition-coordination theory was adopted to analyze the hierarchical canal system. A novel nonlinear multi-level multi-objective optimization model for complex canal systems was established, taking account of the multiple demands from decision makers and realistic factors of canal operation. An interactive method of the technique for order preference using similarity algorithm and genetic algorithm was proposed to solve the developed model. The developed model was successfully applied for the operational strategy making of a canal system located in the arid area of northwest China. The results indicated that the optimization model could help shorten the operational duration by two days, achieve about 26% reduction of irrigation water consumption, and improve the efficiency of water delivery from 0.566 to 0.687. That will be very favorable for the promotion of the agricultural water productivity, the relief of water shortage crisis and the sustainable development of agriculture. The outcomes can provide a wide range of support for decision making and make irrigation decision-making more scientific and systematic.
英文关键词	irrigation scheduling multilevel multi-objective programming decomposition-coordination theory TOPSIS genetic algorithm
类型	Article
语种	英语
国家	Peoples R China ; Canada
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000457127300024
WOS关键词	WATER-USE EFFICIENCY ; GENETIC ALGORITHMS ; OPTIMAL ALLOCATION ; OPTIMAL OPERATION ; DECISION-MAKING ; CLIMATE-CHANGE ; OPTIMIZATION ; RESOURCES ; PRODUCTIVITY ; IMPACTS
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构	中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218957
作者单位	1.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; 2.Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G 1M8, Canada
推荐引用方式 GB/T 7714	Guo, Shanshan,Zhang, Fan,Zhang, Chenglong,et al. A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System[J]. 中国农业大学,2019,11(1).
APA	Guo, Shanshan,Zhang, Fan,Zhang, Chenglong,An, Chunjiang,Wang, Sufen,&Guo, Ping.(2019).A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System.SUSTAINABILITY,11(1).
MLA	Guo, Shanshan,et al."A Multi-Objective Hierarchical Model for Irrigation Scheduling in the Complex Canal System".SUSTAINABILITY 11.1(2019).