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基于蚁群算法的水资源优化配置博弈分析
刘玒玒1, 汪 妮1, 解建仓,等1
西安理工大学 西北旱区生态水利工程国家重点实验室培育基地
摘要:
【目的】 运用博弈理论分析流域内水资源开发利用过程中各用水地区的行为和收益问题。【方法】 提出市场经济与宏观调控相结合的水资源配置模式,建立各用水地区追求自身收益最优的同时,实现全流域水资源合理分配的博弈模型,为实现水资源的协调发展提供支持。将该模型应用于黑河流域,运用蚁群算法实现模型的最优求解,并与线性规划法所得结果进行了比较。【结果】 利用建立的水资源优化模型,通过水权和水资源费的调节,有效约束了黑河流域内各县(区、旗)的取水量,有利于解决水资源分配过程中的用水冲突,在保证黑河流域公共水权为1.2亿m3的基础上,流域总收益达到0.936亿元。【结论】 运用流域水资源优化配置博弈模型进行水资源优化配置,可以有效保证流域的公共水权,激发各地区节水和开发新水源的动力。
关键词:  水资源  优化配置  博弈分析  蚁群算法  水市场  水权
DOI:
分类号:
基金项目:国家自然科学基金项目(51209170,51109175);陕西省科学技术研究发展计划项目(2012JQ5014);西北旱区生态水利工程国家重点实验室培育基地自主研究基金项目(2013ZZKT-5)
Game analysis on optimization allocation of water resources based on Ant Colony Algorithm
LIU Hong-hong,WANG Ni,XIE Jian-cang,et al
Abstract:
【Objective】This study used the game theory to analyze the behavior and benefits of different water use areas during the exploitation of water resources.【Method】A water resources optimization allocation pattern combined with macro control and market economy was proposed,and a game theory model allowing each water user to achieve the optimal benefits was built.The model was applied to Heihe River and Ant Colony Algorithm was used for optimal solution.【Result】Through the regulation of water rights and water resources,water consumption in each county was effectively restrained.The conflict of interest in water resources allocation was resolved.The total benefits in the basin reached 0.936×108 yuan in addition to 1.2×108 m3 public water usage in Heihe River Basin.【Conclusion】Market economy and macro-control water resources allocation model was successful to solve the conflict of interest in water resources allocation guarantee the public water rights,and stimulate water saving and development of new water sources.
Key words:  water resources  optimal allocation  game analysis  Ant Colony Algorithm  water market  water rights