It is of great significance for sustainable construction of irrigated areas to carry out multi-objective decision-mak-ing research on water resources carrying capacity and explore the interactive relationship among water resources,social economy and ecological environment in irrigated areas.This paper took the Phase Ⅱ Project of Zhaokou Yellow River Irriga-tion District as the research object,the maximum economic benefit,the minimum water shortage,the largest carrying popu-lation,the minimum pollutant discharge and the maximum grain yield of the irrigated area were identified as objectives,comprehensively considering the multidimensional critical constraints(e.g.water supply and demand capacity,irrigation area and pollutant discharge),a multi-objective decision-making model of water resources carrying capacity of the Phase ⅡProject of Zhaokou Yellow River Irrigation District was constructed.The model was solved by the third-generation non-dom-inated sorting genetic algorithm(NSGA-Ⅲ),and the Pareto optimal solution sets were obtained.Multiple decision schemes were selected based on the obtained results according to different objective preferences and entropy weight method.The results show that the five goals of maximum economic benefit,maximum social benefit,maximum ecological benefit,maximum population and maximum grain output in this paper are mutually restricted.The non-inferior Pareto solution focu-ses on the pursuit of the optimal benefit of one of the five goals,and will inevitably cause the other goals(at least one)to become inferior.Therefore,the decision schemes obtained in this paper can provide scientific theoretical guidance for the future improvements of water resources carrying capacity in irrigated areas.
关键词
水资源承载力/多目标决策/第3代非支配排序遗传算法/供需关系/赵口引黄灌区二期工程
Key words
water resources carrying capacity/multi-objective decision/the third-generation non-dominated sorting genetic algorithm/the relationship between supply and demand/the Phase Ⅱ Project of Zhaokou Yellow River Irrigation District
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