干旱区生态环境知识资源中心(Arid): Stochastic multi-objective decision making for sustainable irrigation in a changing environment

Arid

DOI	10.1016/j.jclepro.2019.03.183
	Stochastic multi-objective decision making for sustainable irrigation in a changing environment
	Li, Mo 1; Fu, Qiang 1; Guo, Ping 2; Singh, Vijay P.3,4; Zhang, Chenglong 2; Yang, Gaiqiang 5
通讯作者	Fu, Qiang
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2019
卷号	223 页码:928-945
英文摘要	Agricultural water scarcity is a global problem and effective management of limited water resources for irrigation to meet socioeconomic demands for sustainable development is a huge challenge. A stochastic multi-objective non-linear programming (SMONLP) model is developed for the identification of sound irrigation water allocation schemes. The SMONLP model improves upon previous methods by tackling contradictions of society-economy-resources as well as reflecting uncertainty expressed as probability distributions in an agricultural irrigation system. The SMONLP model permits in-depth analyses of various water allocation policies that are associated with different levels of water supply and climate change. The developed SMONLP model is applied to optimal irrigation allocation in a semi-arid river basin in China. Results reveal that the model coordinates the regulation of interactions of society-economy-resources by balancing the targets of water productivity, allocation equity, profit, economic benefit risk, blue water utilization, and leakage loss. Moreover, surface water availability associated with different violation risk probabilities can lead to the changes in comprehensive benefit of society-economy-resources and irrigation shortages. Nearly each of the 17 irrigation regions suffers from water deficit, because water is insufficient to satisfy the requirement of crops, however, the degree of water shortage is gradually weakened when flow level ranges from low to high. The coordination degree is also used to evaluate the sustainability of water allocation and the results of comparison show that the irrigation water allocation under RCP 4.5 presents lower coordination of society-economy-resources which are mainly attributed to the aggravated contradiction between water supply and demand. A real world study demonstrates the practicability of the developed model, allowing the river basin authorities to determine irrigation water allocation strategies in a changing environment, thus promoting sustainable development of agricultural irrigation systems. (C) 2019 Elsevier Ltd. All rights reserved.
英文关键词	Stochastic multi-objective Irrigation water allocation Modelling Sustainability Changing environment
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000466253100076
WOS关键词	WATER-RESOURCES MANAGEMENT ; HAND-SIDE RANDOMNESS ; HEIHE RIVER-BASIN ; PROGRAMMING-MODEL ; OPTIMIZATION MODEL ; AGRICULTURAL WATER ; OPTIMAL ALLOCATION ; CONDITIONAL VALUE ; FUZZY ; CHINA
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; 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/2XILL650/216859
作者单位	1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Changjiang St 600, Harbin 150030, Heilongjiang, Peoples R China; 2.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China; 3.Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall, College Stn, TX 77843 USA; 4.Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall, College Stn, TX 77843 USA; 5.Taiyuan Univ Sci & Technol, Inst Environm Sci, Taiyuan 030024, Shanxi, Peoples R China
推荐引用方式 GB/T 7714	Li, Mo,Fu, Qiang,Guo, Ping,et al. Stochastic multi-objective decision making for sustainable irrigation in a changing environment[J]. 中国农业大学,2019,223:928-945.
APA	Li, Mo,Fu, Qiang,Guo, Ping,Singh, Vijay P.,Zhang, Chenglong,&Yang, Gaiqiang.(2019).Stochastic multi-objective decision making for sustainable irrigation in a changing environment.JOURNAL OF CLEANER PRODUCTION,223,928-945.
MLA	Li, Mo,et al."Stochastic multi-objective decision making for sustainable irrigation in a changing environment".JOURNAL OF CLEANER PRODUCTION 223(2019):928-945.