An auto-adaptive optimization approach for targeting nonpoint source pollution control practices

作者：Chen, Lei; Wei, Guoyuan; Shen, Zhenyao^*

来源：Scientific Reports, 2015, 5(1): 15393.

DOI：10.1038/srep15393

• MULTIOBJECTIVE GENETIC ALGORITHM
• PRIORITY MANAGEMENT AREAS
• COST
• IMPLEMENTATION
• SEQUESTRATION
• RESOURCES
• HYDROLOGY
• SEDIMENT

To solve computationally intensive and technically complex control of nonpoint source pollution, the traditional genetic algorithm was modified into an auto-adaptive pattern, and a new framework was proposed by integrating this new algorithm with a watershed model and an economic module. Although conceptually simple and comprehensive, the proposed algorithm would search automatically for those Pareto-optimality solutions without a complex calibration of optimization parameters. The model was applied in a case study in a typical watershed of the Three Gorges Reservoir area, China. The results indicated that the evolutionary process of optimization was improved due to the incorporation of auto-adaptive parameters. In addition, the proposed algorithm outperformed the state-of-the-art existing algorithms in terms of convergence ability and computational efficiency. At the same cost level, solutions with greater pollutant reductions could be identified. From a scientific viewpoint, the proposed algorithm could be extended to other watersheds to provide cost-effective configurations of BMPs.

• 出版日期2015-10-21
• 单位北京师范大学