干旱区生态环境知识资源中心(Arid): An improved interval-based fuzzy credibility-constrained programming approach for supporting optimal irrigation water management under uncertainty

Arid

DOI	10.1016/j.agwat.2020.106185
	An improved interval-based fuzzy credibility-constrained programming approach for supporting optimal irrigation water management under uncertainty
	Zhang, Chenglong; Li, Xuemin; Guo, Ping; Huo, Zailin
通讯作者	Huo, ZL
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2020
卷号	238
英文摘要	In response to uncertainties and complexities in the irrigation water management systems, this study presents an improved interval-based fuzzy credibility-constrained programming (IIFCCP) model for optimizing the allocation of irrigation water resources under uncertainty. Mathematical techniques of interval parameter programming (IPP), improved fuzzy credibility-constrained programming (IFCCP) and interval crop water production functions (ICWPFs) are incorporated into a modeling framework for irrigation planning. Thus, this model has the following several advantages in irrigation water management. First, it can not only address interval and fuzzy uncertainties, but also analyze tradeoffs between irrigation water amount and agricultural production returns, to maximize the agricultural economic benefits. Second, it further improves upon existing studies on deterministic CWPFs by using the ICWPFs to reflect uncertain information in the practical applications. Third, it makes a novel attempt to explore weight coefficients (i.e. the proportion of possibility in estimating credibility) to represent various preferences of decision makers. Fourth, it provides more flexible strategies by considering various weight coefficients and credibility levels. Then, the proposed model is applied to a case study of irrigation water management in the middle reaches of the Heihe River Basin, northwest China. Therefore, optimal decision solutions for the allocation of irrigation water under different scenarios, i.e., the combinations of three water levels, four credibility levels and nine weight coefficients, will be obtained and analyzed. A greater system benefits will be achieved at a high weight coefficient and a low credibility level, especially weight coefficients are assigned as 0.8 and 0.9. Additionally, these solutions can provide detailed tradeoffs among system benefits, credibility levels and weight coefficients. Comparisons with the results from deterministic CWPFs and conventional FCCP method indicate that the IIFCCP method has an enhanced practical applicability in actual irrigation water management under uncertainty conditions in arid areas.
英文关键词	Fuzzy mathematical programming Weight coefficient Credibility level Irrigation water resources allocation Decision making
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000536054500004
WOS关键词	ALLOCATION MODEL ; OPTIMIZATION ; PRODUCTIVITY ; RESOURCES
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
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/2XILL650/324558
作者单位	[Zhang, Chenglong; Li, Xuemin; Guo, Ping; Huo, Zailin] China Agr Univ, Ctr Agr Water Res China, Coll Water Resources & Civil Engn, Tsinghuadong St 17, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Chenglong,Li, Xuemin,Guo, Ping,et al. An improved interval-based fuzzy credibility-constrained programming approach for supporting optimal irrigation water management under uncertainty[J]. 中国农业大学,2020,238.
APA	Zhang, Chenglong,Li, Xuemin,Guo, Ping,&Huo, Zailin.(2020).An improved interval-based fuzzy credibility-constrained programming approach for supporting optimal irrigation water management under uncertainty.AGRICULTURAL WATER MANAGEMENT,238.
MLA	Zhang, Chenglong,et al."An improved interval-based fuzzy credibility-constrained programming approach for supporting optimal irrigation water management under uncertainty".AGRICULTURAL WATER MANAGEMENT 238(2020).