基于蚁群-粒子群混合算法的水资源优化配置研究

Optimal allocation of water resources based on ant colony-particle swarm algorithm

【目的】对区域水资源的合理优化配置进行研究,为区域经济的发展、水资源的合理开发利用和节水型社会的建立提供参考。【方法】建立以经济、社会、生态环境效益为目标函数,各目标加权和为最优解的水资源优化配置模型,采用蚁群-粒子群混合算法对模型进行求解,并对渭北工业区进行水资源优化配置的实例分析,通过原供水量与优化配置水量的比较验证所建立模型的合理性。【结果】经计算,75%保证率下渭北工业区水资源的配置结果为:2015年地表水、地下水、外调水、中水供水量分别为1 747.30,13 244.84,12 905.95和1 060.23万m3;2020年各水源供水量分别为2 019.19,12 214.42,23 530.42和1 798.60万m3;与原始供水量相比,2015年和2020年总供水量分别减少312.73和421.11万m3,表现在农业供水量减少,生活、工业、生态用水均达到供需平衡。【结论】基于蚁群-粒子群混合算法的水资源优化配置结果合理,可作为研究区水资源合理开发利用决策的参考;蚁群-粒子群混合算法收敛速度快,寻优性能优越,可用于水资源优化配置的分析。

【Objective】This study focused on optimal allocation of regional water resources to provide reference for regional economic development,rational development and utilization of water resources and building water-saving society.【Method】To establish an optimal allocation model of water resources including economic,social,ecological and environmental benefits with the optimal solution of the weighted sum of each objective,the hybrid ant colony and particle swarm optimization algorithms were adopted to solve the model.Weibei Industrial Zone was taken as an example to analyze the optimal allocation of water resources.Then the comparison of the original water supply and the optimal allocation of water was conducted to verify the rationality of the established model.【Result】Through calculation,the water resources allocation results with 75% guarantee rate were obtained:The water supplies of surface water,ground water,water transfer and wastewater reuse in 2015 were 1 747.30×104 m3,13 244.84×104 m3,12 905.95×104 m3 and 1 060.23×104 m3,respectively and those in 2020 were 2 019.19×104 m3,12 214.42×104 m3,23 530.42×104 m3 and 1 798.60×104 m3,respectively.Compared with the original water supply,the total water supplies in 2015 and 2020were reduced by 312.73×104 m3 and 421.11×104 m3,respectively.The results were based on reduction in agricultural water supply and balance of supply and demand in residential,industrial and ecological water uses.【Conclusion】Ant colony-particle swarm algorithm based optimal allo-cation was reasonable,and can be used as reference for the rational development and utilization of water resources in the study area.The ant and particle swarm hybrid algorithm had fast convergence speed and optimal performance,which can be used for the analysis of optimal allocation of water resources.