长江科学院院报 ›› 2012, Vol. 29 ›› Issue (2): 11-15.

• 水资源与环境 • 上一篇    下一篇

文山州水资源优化配置与承载能力计算分析

崔东文   

  1. 文山州水务局,云南 文山  663000
  • 收稿日期:2011-01-17 出版日期:2012-02-01 发布日期:2012-03-19
  • 作者简介:崔东文(1978-),男,云南玉溪人,高级工程师,主要从事水资源水环境研究及水资源保护等工作

Computational Analysis of Optimal Water Resources Allocation and Carrying Capacity for Wenshan Autonomous Prefecture

CUI Dong-Wen   

  1. Water Authority of Wenshan Autonomous Prefecture, Wenshan  663000, China
  • Received:2011-01-17 Online:2012-02-01 Published:2012-03-19

摘要: 以文山州可预见期内水资源可利用量和可开发量为上限,以经济效益、社会效益和粮食安全最大化为目标,水资源利用量约束为准则,建立基于多目标水资源优化配置及承载能力计算模型。结果表明:①在可预见期水资源可利用量约束下,麻栗坡县和富宁县水资源承载能力最大,临界可承载年分别为2075年和2040年;砚山县和文山县水资源承载能力最小,临界可承载年分别为2015年和2025年。②在水资源可开发利用量约束下,麻栗坡县、富宁县和西畴县水资源承载能力最大,临界可承载年分别为2160年、2063年和2061年;砚山县和文山县水资源承载能力最小,临界可承载年分别为2024年和2040年。③在现有用水技术、生活和生产水平下,水资源优化配置与承载能力优化计算结果基本符合区域经济社会发展的趋势和规模。

关键词: 优化配置, 承载能力计算, 水资源, 遗传算法

Abstract: A multi-bjective model for calculating the optimal water resources  allocation and carrying capacity is established on the basis of the water availability and water resources utilization limit in the foreseeable period in Wenshan autonomous prefecture. The model aims to maximize the economic and social benefit and food security and to restrain the water use. SPSS software is adopted for curve fitting and significance test, and the genetic algorithm toolbox of MATLAB2010a software is used for optimization calculation. The results show that, first of all, constrained by water availability in the foreseeable period, Funing County and Malipo County have the largest water resources carrying capacity with the critical value to be in 2075 and 2040; while Yanshan County and Wenshan County have the smallest carrying capacity with the critical value in 2015 and 2025. Secondly, constrained by water resources utilization limit, Malipo County, Funing County and Xichou County have the largest carrying capacity with the critical value respectively in 2160, 2063 and 2061; whereas Yanshan County and Wenshan County have the smallest carrying capacity with the critical value in 2024 and 2040. Finally, judged from the current water technology and life standard, the optimal allocation and the carrying capacity calculated by the model are consistent with the trend and scale of regional economic and social development.

Key words: optimal allocation, carrying capacity calculation, water resources, genetic algorithm

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