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A Hierarchical Approach for Inland Lake Pollutant Load Allocation: A Case Study in Tangxun Lake Basin, Wuhan, China
Journal of Environmental Informatics ( IF 7 ) Pub Date : 2015-01-01 , DOI: 10.3808/jei.201500327
J. H. Wang ,

Water pollution control is a challenging task in water resources management. It is widely believed that integrating efficiency and fairness of socio-economic factors is an effective solution for water problems of inland Lake Basin. In this paper, a hierarchical approach of Tri-level Pollutant Loading Allocation (TPLA) was developed for the optimal allocation of pollutant load reduction. In TPLA, pollutant load reduction amount were allocated top-down, from basin scale to outlet scale, in three levels based on minimum marginal cost, Environmental Gini Coefficient (EGC) and water quality modeling to meet the set water quality goal. Tangxun Lake Basin, Wuhan, Central China, was selected as a case study. Results showed that the total CODMn loads reduction of point sources and non-point sources was allocated to 201.1 t/a and 24.1 t/a, respectively at the first level. Secondly, the districts within the lake basin are to cut off emission amount to different extent by minimizing EGC population to 0.22 and EGCIAV to 0.50. Minimum EGC method seems more adaptable to solve the inequality between pollution and population than that of industrial added value. At the third level, the largest reduction amount of 142.21 t/a was at Bee Jiaotou Plant outlet at Miaoshan District, followed by two outlets of 10.41 t/a in Zhifang District. Other outlets cut their emission by less than 10 t/a. The TPLA model can give an optimal pollutant loads allocation for the various pollutant sources, and is easy to understand for stakeholders and flexible to apply in practice.

中文翻译:

内陆湖污染物负荷分级方法:以武汉汤逊湖流域为例

水污染控制是水资源管理中的一项具有挑战性的任务。人们普遍认为,整合社会经济因素的效率和公平性是解决内陆湖流域水资源问题的有效途径。在本文中,开发了一种三级污染物负荷分配(TPLA)的分层方法,用于污染物负荷减少的优化分配。在 TPLA 中,污染物负荷减少量从流域尺度到出口尺度,基于最小边际成本、环境基尼系数 (EGC) 和水质模型在三个层次上自上而下分配,以满足设定的水质目标。以华中地区武汉市汤逊湖流域为例。结果表明,点源和非点源的 CODMn 总负荷减少量分配为 201.1 t/a 和 24.1 t/a,分别在第一级。其次,湖流域内各区将EGC人口最小化为0.22,EGCIAV最小化为0.50,不同程度地截断排放量。最小EGC方法似乎比工业增加值方法更适合解决污染与人口之间的不平等问题。第三层级,庙山区蜜蜂角头厂网点减排量最大,为142.21t/a,其次是纸坊区两个网点,为10.41t/a。其他出口的排放量减少了不到 10 吨/年。TPLA 模型可以为各种污染源提供最佳的污染物负荷分配,并且易于利益相关者理解,并且在实践中灵活应用。湖流域内各区将EGC人口降至0.22,EGCIAV降至0.50,不同程度地截断排放量。最小EGC方法似乎比工业增加值方法更适合解决污染与人口之间的不平等问题。第三层级,庙山区蜜蜂角头厂网点减排量最大,为142.21t/a,其次是纸坊区两个网点,为10.41t/a。其他出口的排放量减少了不到 10 吨/年。TPLA 模型可以为各种污染源提供最佳的污染物负荷分配,并且易于利益相关者理解,并且在实践中灵活应用。湖流域内各区将EGC人口降至0.22,EGCIAV降至0.50,不同程度地截断排放量。最小EGC方法似乎比工业增加值方法更适合解决污染与人口之间的不平等问题。第三层级,庙山区蜜蜂角头厂网点减排量最大,为142.21t/a,其次是纸坊区两个网点,为10.41t/a。其他出口的排放量减少了不到 10 吨/年。TPLA 模型可以为各种污染源提供最佳的污染物负荷分配,并且易于利益相关者理解,并且在实践中灵活应用。第三层级,庙山区蜜蜂角头厂网点减排量最大,为142.21t/a,其次是纸坊区两个网点,为10.41t/a。其他出口的排放量减少了不到 10 吨/年。TPLA 模型可以为各种污染源提供最佳的污染物负荷分配,并且易于利益相关者理解,并且在实践中灵活应用。第三层级,庙山区蜜蜂角头厂网点减排量最大,为142.21t/a,其次是纸坊区两个网点,为10.41t/a。其他出口的排放量减少了不到 10 吨/年。TPLA 模型可以为各种污染源提供最佳的污染物负荷分配,并且易于利益相关者理解,并且在实践中灵活应用。
更新日期:2015-01-01
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