引用本文: | 邓义祥,郑一新,富国,雷坤,刘瑞志,张林波,李子成.路径分析法在滇池流域水污染防治规划中的应用.湖泊科学,2011,23(4):520-526. DOI:10.18307/2011.0405 |
| DENG Yixiang,ZHENG Yixin,FU Guo,LEI Kun,LIU Ruizhi,ZHANG Linbo,LI Zicheng.Application of route analysis method in the water pollution control planning in Lake Dianchi Catchment. J. Lake Sci.2011,23(4):520-526. DOI:10.18307/2011.0405 |
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摘要: |
在基于负荷总量的水污染防治规划中, 通常需要在特定的水质目标条件下, 核定污染物的最大允许排放量和削减量, 并采取工程措施完成削减目标.路径分析法将正向算法中的污染控制参数由连续变量进行离散化, 既对优化问题进行了简化, 也提高了优化方案的针对性和可行性.以滇池流域水污染防治规划为例, 采用路径分析方法, 将滇池流域水污染控制六大措施的参数离散化, 寻找不同目标方案条件下滇池流域污染治理的最佳方案.在此基础上, 结合滇池流域水污染治理的实际, 推荐中方案为"十二五"规划的目标, 并提出了对应的污染物总量削减措施。 |
关键词: 路径分析 滇池流域 水污染防治规划 "十二五"规划 |
DOI:10.18307/2011.0405 |
分类号: |
基金项目:滇池流域水污染防治"十二五"规划项目资助 |
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Application of route analysis method in the water pollution control planning in Lake Dianchi Catchment |
DENG Yixiang1, ZHENG Yixin2, FU Guo1, LEI Kun1, LIU Ruizhi1, ZHANG Linbo1, LI Zicheng1
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1.Chinese Research Academy of Environmental Sciences, Beijing 100012, P.R.China;2.Kunming Institute of Environmental Sciences, Kunming 650031, P.R.China
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Abstract: |
In water pollution control planning based on total waste load,it is usually necessary to check the total maximum allowa-ble load and choose proper countermeasures to finish the load cut task under specified water quality objectives.With the route anal-ysis method,the continuous control variables in the direct algorithm are discretized,so not only the optimization problem is simpli-fied,but also the result is more practicable and pertinent.Take the Lake Dianchi Catchment as an example,the 6 water pollution control measures were discretized by parameters and the most suitable pollution control schemes were selected under different water quality scenarios with route analysis method.Afterwards,based on the historical and present treatment situation in the study area, the medium-scenario and corresponding countermeasures were suggested for the 12th Five-Year Water Pollution Control Planning in the Dianchi Cactchment. |
Key words: Route analysis Lake Dianchi Catchment water pollution control planning 12th Five-Year Plan |