基于遗传算法的灰色非线性水环境管理模型及应用

Gray nonlinear water environment management model and its application based on genetic algorithm solution

以郑州市贾鲁河水环境治理规划为基础,统筹考虑到治理区域内的工程建设、水环境改善策略、污水处理厂建设运行以及配套水库调度等,构建了灰色非线性水环境管理模型,并选择遗传算法作为计算手段,对该模型进行了求解。构建的模型同时考虑到了治理区域内的污水处理厂优化运行、南水北调补水、区域内3个生态湖泊与治理河段的净化能力等。通过优化运行协调,实现了运行费用经济合理、水生态环境改善、水质达标等多项治理目标。研究结果表明,基于遗传算法的灰色非线性规划在区域水环境治理中的应用潜力十分显著。

A gray nonlinear water environment management model was developed for comprehensive water environment improvement plan of Jialu River basin, Zhengzhou, which considered project construction, water environment improving strategy, construction and operation of sewage water treatment plants, and reservoirs regulation. The model was solved by the genetic algorithm(GA). The model took into account the operation optimization of sewage water treatment plants, the water supplement by south-to-north water diversion project, three ecological lakes and self-purifying capacities of the treated river reaches. By a more optimized and coordinated operation, higher attainment rate of multi-objects were achieved such as improvement of water ecology and water quality at a reasonable cost. The results show that the GA-based gray nonlinear programming has high potential applicability in regional water environment management.