基于水量水质耦合模拟优化的渠井结合灌区多目标水资源优化配置模型与方法

A Multi-objective Optimization Model for Water Resources Allocation Considering Both Water Quantity and Quality Issues in Canal-well Combined Irrigation Area

为探究灌区考虑水质水量耦合模拟优化的水资源优化配置模型与方法,基于FloPy和Pymoo构建了水量水质耦合的多目标模拟优化模型。采用地下水数值模拟模型MODFLOW和溶质输移模型MT3D模拟了灌溉引起的地下水位变化和污染物的扩散过程,考虑灌溉收益、作物水分生产率、地下水位变幅和污染扩散4个目标,分别采用多目标遗传算法NSGA-Ⅱ和NSGA-Ⅲ对该问题进行求解,并对比分析了两种方法的实际应用效果。采用多准则分析评价方法TOPSIS(Technique for Order Preference by Similarity to Ideal Solution),推荐了灌溉方案。推荐灌溉方案在平水年和枯水年分别可以最大减少地下水位变幅56%和43%,最大减少污染扩散面积54%和40%。

In order toexplore the multi-objective simulation optimization model for water resources allocation in canal well combined irrigation area considering both water quantity and quality issues,a multi-objective simulation optimization model based on FloPy and Pymoo were developed,in which groundwater numerical simulation model MODFLOW and solute transport model MT3D were used to simulate groundwater level fluctuation and pollutant diffusion process caused by irrigation pumping.Four objectives,including irrigation benefit,crop water productivity,groundwater level fluctuation and pollution diffusion,were considered,and two multi-objective genetic algorithms of NSGA-Ⅱand NSGA-Ⅲwere adopted to solve the problem,and the application effects of the two methods were comparably analyzed.The multi criteria analysis and evaluation method TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)was adopted to determine the suitable irrigation solution,which can reduce the groundwater level fluctuation by 56%and 43%in normal and dry years,and reduce the pollution diffusion area by 54%and 40%respectively.