基于环境基尼系数最小化模型的水污染物总量分配优化

本文通过应用WASP模型计算出研究区域环境容量及其在各镇的空间分布,在此基础上确定整个区域的污染物目标总量.结合研究区域实际情况,提出并开发了基于经济、社会和资源禀赋的综合环境基尼系数最小化模型,用于污染物目标总量分配的最优化求解.最终分配方案相比污染物现状排放、容量分配两种情形而言,COD的基尼系数分别下降15.1%和8.4%,氨氮的基尼系数分别下降11.0%和13.7%,分配方案更加公平、合理.在最终优化分配所得的COD削减方案中,长泾镇削减比率最高,达到20%,削减量为231.74t/a;在相应的氨氮削减方案中,祝塘镇削减比率最高,达到59.9%,削减量为59.74t/a.

Use of a minimum environmental Gini Coefficient model on optimizing the allocation plan of total pollutant load in water bodies: a case study at Zhangjiagang river-network plain

A Gini Coefficient model was developed in an attempt to optimize the total pollutants load allocation plan at the study area, Zhangjiagang river-net plain, where the environmental capacity of target pollutants and spatial distribution at six different towns in this region have been well addressed via WASP model. The local social, economic and resource factors were integrated and processed in developing this Gini Coefficient model, by which the best solution to the allocation pollutant plan was successfully figured out. As a consequence, the COD Gini Coefficients were decreased by 15.1% and 8.5% while ammonia Gini Coefficients were decreased by 11.0% and 13.7% in terms of pollutant discharge and capacity allocation respectively. The largest reduction rate of COD,approximately 20%,was achieved at Changjing town by the optimized load reduction strategy with an annual reduction, of 231.74tonnes. As to the ammonia pollutant load reduction, Zhutang Town showed the largest reduction rate of 59.9% with an annual reduction amount of 59.74tonnes.