动态水权效益模型及其蚁群算法求解  

A benefit model for dynamic water rights soluted by Ant Colony Algorithm

作　　者：解建仓[1] 王文博[1] 张琛[1] 朱记伟[1] 

机构地区：[1]西安理工大学西北水资源与环境生态教育部重点实验室,陕西西安710048

出　　处：《水利学报》2012年第6期659-666,共8页Journal of Hydraulic Engineering

基　　金：国家高技术研究发展计划"863"(2006AA01A126);国家自然科学基金资助项目(51079120);陕西省重点实验室资助项目(05JS378);中国水利水电科学研究院开放基金(106-220933)

摘　　要：本文提出了动态水权的基本概念及特征,研究了动态因素影响下水市场参与者活动及区域内水权交易的效益最优问题。以无定河流域陕西省境内水权配置为例,建立了其在丰枯期、节水潜力双因素变化下的动态博弈模型,并运用蚁群算法实现了模型最优求解。结果表明:枯水期靖边县、米脂县成为用水户,榆阳区、横山县和绥德县为转让户,转让户产生最大效益为1320万元,用水户及时弥补了缺水并产生效益为1850万元,区域总效益达到3170万元。模型能实现动态因素影响下的转让户、用水户及其区域总效益的最大化,为实现区域水资源的优化配置提供了重要的方法。Basic concept and the characteristic of the dynamic water rights is suggested in this article, and the optimal benefit for water market participants and water right trading in a certain region are discussed under the influences of dynamic factors. Taking the water rights allocation of the Wuding River basin in Shaanxi Province, China, as an example, the gaming model is established under the influences of dry or wet period as well as affected by the water saving potential, and solved optimally by the Ant Colony Algo- rithm, In the dry period, the Jingbian County and Mizhi County become users, and the counties Yuyang, Hengshan and Suide become transferor. The transferor realized optimal benefit about 13.2×10^6 yuan, and the users offset the shortage of water timely, producing benefits about 18.5×10^6 yuan. The total benefit in the region reaches 31.7×10^6 yuan. The example shows that the model can achieve optimal benefit of transfer- or, user, and the region under the dynamic factors, which provides an important method to achieve the op- timal deployment of regional water resources.

关 键 词：动态水权 博弈模型 蚁群算法 

分 类 号：F407.9[经济管理—产业经济]