基于熵值—环境基尼系数法的平原河网区污染物总量分配

为制定科学合理的水污染物总量控制方案,以典型平原河网地区——张家港市为例,构建与人口、资源、经济和水污染物承受能力相协调的单因子环境基尼系数模型,并通过贡献系数判断引起不公平的主要污染物分配单元.利用熵值—环境基尼系数最小化模型,确定张家港市各乡镇基于多元公平性原则的氨氮总量分配方案.结果表明:在水污染物总量分配过程中,污染物削减比例的大小和污染物现状排放量之间并不具有一致性,最终的分配方案要综合考虑多方因素确定.本研究构建的熵值—环境基尼系数最小化模型综合考虑了研究区域社会、经济、资源等多种客观因素,对于平原河网地区,由于其特殊的地理位置和自然条件,人口、资源等分布相对比较均匀,故基于该模型所得到的分配方案充分表现了多元公平性原则,更公平合理.

Total pollutant load allocation in plain river network based on the entropy-environmental gini coefficient method

In order to make a scientific reasonable plan for the total amount control of water pollutants, taking Zhangjiagang City as an example, a single-factor environmental Gini coefficient model was constructed, which involved in the factors of population, resources, economy and water environment tolerance. The main unfair pollutant distribution units were also analyzed by selecting the contribution coefficient as a judge. According to the minimum model of Entropy-Environmental Gini coefficient, the total amount allocation of ammonia nitrogen based on multivariate fairness in the towns of Zhangjiagang was proposed. The research found that there is no consistency between the proportion of pollutant reduction and the current discharge of pollutants in the total water pollutant load allocation process, and the final allocation scheme should be determined by considering many factors. In this study, the minimum model of entropy-environmental Gini coefficient takes many objective factors such as society, economy and resources into account. As for the plain river network areas, due to its special geographical location and natural conditions, the distribution of population and resources is relatively uniform, so the allocation scheme based on the model fully embodies the principle of multivariate fairness, which is more fair and reasonable.