最严格水资源管理与优化配置研究

为分析"三条红线"约束下的水资源优化配置问题,在粒子群优化(PSO)算法的惯性权重项中引入服从正态分布的随机因子,以提高算法寻优效率。在最严格水资源管理制度的指导下,以社会、经济和环境的综合效益最大为目标,建立"三条红线"约束下的水资源优化配置模型。以玉环县为例,应用该算法求解水资源优化配置模型,并推荐最优的水资源配置方案,为玉环县以目标效益最优倒逼产业转型升级的决策方向提供了依据。优化配置结果表明,在水资源优化配置中应用改进惯性权重的粒子群算法求解合理可行。研究成果为"三条红线"约束下的水资源配置研究提供了新思路。

Study on the Strictest Water Resources Management and Optimal Allocation

In order to analyze the optimal allocation of water resources under the constraint of "three red lines", a random factor obeying normal distribution was introduced into the inertia weight of particle swarm optimization (PSO) algorithm to improve the efficiency of the algorithm. Under the guidance of the most stringent water resources management system, taking the maximum social, economic and environmental benefits as the goals, a water resources optimal allocation model under the constraint of "three red lines" was established. Taking Yuhuan County as an example, this paper applies the algorithm to solve the optimal allocation model of water resources and recommends the optimal water resources allocation scheme, which provides the basis for Yuhuan County to optimize the direction of industrial transformation and upgrading with the goal efficiency optimization. The optimal allocation results show that it is reasonable and feasible to apply the PSO with improved inertia weight in the optimal allocation of water resources. The study results provide a new idea for the research of water resources allocation under the constraint of "three red lines".