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	基于多目标规划模型的黑河中游绿洲用水结构优化配置
其他题名	Water-consumption Structure Optimization in Oasis of Middle Reaches of Heihe River Basin Based on Multi-objective Optimization Model
	王友芝; 郭萍
来源期刊	农业机械学报
ISSN	1000-1298
出版年	2020
卷号	51 期号:2 页码:299-307
中文摘要	针对水资源优化配置过程中存在的缺水风险、经济效益、配水公平性等问题,构建了确定性多目标规划模型,该模型能够兼顾配水风险、效益及公平性,实现多目标之间的协调,且能够反映水资源配置系统中存在的不确定性.在确定性多目标规划的基础上,构建了不确定条件下基于模糊Me测度的多目标规划模型.另外,根据不同的乐观-悲观因子,将Me测度转换为必要性测度、可信性测度和可能性测度.将所构建的两个模型应用于甘州区、临泽县和高台县的农业、工业、生活、生态部门的配水中,结果表明,两个模型均适用于该地区的水资源配置,不确定性条件下基于Me测度的多目标规划模型相较于确定性模型具有更高的鲁棒性.必要性测度约束的配水量最小,可信性测度约束的配水量居中,可能性测度约束的配水量最大.结构性缺水风险与配水量成反比,经济效益与配水量成正比,在当前可利用水量条件下,GINI系数与配水量成正比.因此,必要性测度更适用于最小化目标值的情况,可能性测度更适合于最大化目标值的情况,可信性测度的结果则是两者的折衷.在3种置信条件约束下,配水量、结构性缺水风险、经济效益随着测度水平的增加而减少,GINI系数随着测度水平的增加而增加.因此,决策者可以基于多目标规划方法,通过选择合适的乐观-悲观因子和测度水平优选最佳配水方案和目标值.
英文摘要	The deterministic multiple objective optimization model was constructed based on the characters, including water shortage risk, economic benefit and fairness, existed in water resources management system. Besides, the Me measure multiple objective optimization model was proposed due to the uncertainties of water resources system. Moreover, the Me measure can be transformed into necessary measure, possibility measure and credibility measure according to different pessimistic-optimistic parameters. The two models were applied to the real case of inter-water users water allocation of Ganzhou District, Linze County and Gaotai County. The results showed that the Me measure multiple objective optimization model was more practical for water resources management and had more robustness and provided more water allocation alternatives compared with the deterministic multiple objective optimization model. The results indicated that the total water allocation form high to low was possibility measure, credibility measure, and necessary measure. Besides, the structural water shortage risk had negative relationship with allocated water resources, while economic benefit and GINI were positively affected by allocated water resources. Therefore, the necessary measure had more advantages in minimizing the objectives, and the possibility measure was more applicable for maximizing the objectives, and the credibility measure had the comprehensive results. What's more, the total water allocation, structural water shortage risk and economic benefit was lessened with the increase of measure levels, while the GINI coefficient was increased with the increase of measure levels. Therefore, the decision makers can choose best water allocation schemes with consideration of reasonable pessimistic-optimistic parameter and measure levels.
中文关键词	水资源优化 ; Me测度 ; 多目标规划模型 ; 结构性缺水风险 ; GINI系数
英文关键词	water resources optimization Me measure multiple-objective optimization model structural water shortage risk GINI coefficient
类型	Article
语种	中文
收录类别	CSCD
WOS研究方向	Engineering
CSCD记录号	CSCD:6723128
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/2XILL650/336475
作者单位	王友芝, 中国农业大学中国农业水问题研究中心, 北京 100083, 中国.; 郭萍, 中国农业大学中国农业水问题研究中心, 北京 100083, 中国.
推荐引用方式 GB/T 7714	王友芝,郭萍. 基于多目标规划模型的黑河中游绿洲用水结构优化配置[J]. 中国农业大学,2020,51(2):299-307.
APA	王友芝,&郭萍.(2020).基于多目标规划模型的黑河中游绿洲用水结构优化配置.农业机械学报,51(2),299-307.
MLA	王友芝,et al."基于多目标规划模型的黑河中游绿洲用水结构优化配置".农业机械学报 51.2(2020):299-307.