基于纳污控制的沙颍河流域排污权交易多目标优化模型

摘要

近年来,我国水环境污染问题日益突出,排污权交易成为统筹区域经济发展与环境保护的重要手段.本文在综合考虑经济效益最优和水质保护效果最优的基础上,提出基于纳污控制的排污权交易多目标优化模型,运用带有精英策略的非支配排序遗传算法生成方案集,并采用冲突解决理论对方案集进行优选,将以上方法应用到沙颍河流域得到推荐的排污权交易方案.计算结果显示,在推荐方案下全流域有9个计算单元参与排污权交易,交易的COD排污权总量为1 888 t,通过交易增加的经济效益达38 327万元,而交易后的水质达标率可由81％提高到85％.%The emission rights trading has become an important measure to balance the regional economic development and the environment protection under the situation of the increasingly serious water environment pollution problems in China in recent years.In this paper,a multi-objective emission rights trading optimization model based on the pollution control from the view point of the better economic benefits and water quality was put forward.And the emission rights trading scheme set was generated by the application of Non-dominated Sorting Genetic Algorithms (NSGA-Ⅱ).Then the Young Conflict Resolution Theory (YCRT) was applied to select a better scheme.At last,all theoretical methods above were applied to the Shayinghe River to get the recommended emission rights trading scheme and the trading scheme showed that nine calculation units involved in the emission rights trading,and the tradable emission rights were about 1888t which could bring additional economic benefits of 383.27 million,and the water quality compliance rate was improved from 81％ to 85 ％.