水资源管理
灌溉
水资源
缺水
环境科学
区间(图论)
节约用水
边界(拓扑)
农业
构造盆地
投资(军事)
模糊逻辑
农场用水
农业工程
环境资源管理
计算机科学
地理
数学
工程类
地质学
人工智能
法学
生态学
数学分析
考古
生物
古生物学
政治学
组合数学
政治
作者
Geng Niu,Yongping Li,Guohe Huang,J. Liu,Manlei Chen
出处
期刊:Journal of Irrigation and Drainage Engineering-asce
[American Society of Civil Engineers]
日期:2016-12-01
卷期号:142 (12)
被引量:7
标识
DOI:10.1061/(asce)ir.1943-4774.0001088
摘要
In this study, an interactive fuzzy-boundary interval programming (IFBIP) method is developed to plan water resources management under uncertain conditions. IFBIP is capable of addressing dual uncertainties expressed as fuzzy-boundary intervals, as well as analyzing the reliability of satisfying (or the risk of violating) various constraints. The IFBIP method is then applied to the water resources management of the Hetao Basin (located in Inner Mongolia, China), one of the largest irrigation areas and the main food-producing region in the Yellow River Basin, where water scarcity is a major constraint for socioeconomic development. Results of water-allocation pattern and system benefit have been obtained under different feasibility degrees. Results reveal that agricultural irrigation is still the largest water consumer, compared with the other users such as industry, municipality, and livestock; meanwhile, irrigation water in each subarea is mainly from the Yellow River over the planning horizon. Moreover, water-saving technology and irrigation regime are relative backward, leading to more inefficient water usage. The findings can facilitate local managers in generating desired decisions of water-related activities with maximized system benefit and minimized water shortage.
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