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Chance-constrained programming (CCP)abatement of SO_2 emission for acid deposition control in Liuzhou City
作者姓名:Hao Jiming  Li Guang  Zhang Yang  Xu Kangfn  Ban Ling  Wen Weimin  Yang Jinlan  Liu Ning
作者单位:Hao Jiming,Li Guang,Zhang Yang,Xu Kangfn,Ban Ling,Wen Weimin,Yang Jinlan and Liu NingDepartment of Environmental Engineering,Tsinghua Unviersity,Beijing 100084,ChinaResearch Center for Eco-Environmental Sciences,Academis Sinica,Beijing 100083,ChinaResearch Institute for Environmental Sciences of Guangxi-Zhuang Autonomous Region,nanning 530022,ChinaLiuzhou EPA,guangxi-Zhuang Autonomous Region,Liuzhou 545007,China
摘    要:A deterministic linear programming model which optimizes the abatement of each SO2 emission source, is extended into a CCP form by introducing equations of probabilistic constrained through the incorporation of uncertainty in the source-receptor-specific transfer coefficients. Based on the calculation of SO2 and sulfate average residence time for Liuzhou City, a sulfur deposition model has been developed and the distribution of transfer coefficients have been found to be approximately log-normal. Sulfur removal minimization of the model shows that the abatement of emission sources in the city is more effective, while control cost optimization provides the lowest cost programmes for source abatement at each allowable deposition limit under varied environmental risk levels. Finally a practicable programme is recommended.

收稿时间:9/1/1989 12:00:00 AM

Chance-constrained programming (CCP)abatement of SO_2 emission for acid deposition control in Liuzhou City
Hao Jiming,Li Guang,Zhang Yang,Xu Kangfn,Ban Ling,Wen Weimin,Yang Jinlan,Liu Ning.Chance-constrained programming (CCP)abatement of SO_2 emission for acid deposition control in Liuzhou City[J].Journal of Environmental Sciences,1990,2(3):35-49.
Authors:Hao Jiming  Li Guang  Zhang Yang  Xu Kangfn  Ban Ling  Wen Weimin  Yang Jinlan and Liu Ning
Institution:Department of Environmental Engineering;Tsinghua Unviersity;Beijing 100084;China,Department of Environmental Engineering;Tsinghua Unviersity;Beijing 100084;China,Research Center for Eco-Environmental Sciences;Academis Sinica;Beijing 100083;China,Department of Environmental Engineering;Tsinghua Unviersity;Beijing 100084;China,Research Institute for Environmental Sciences of Guangxi-Zhuang Autonomous Region;nanning 530022;China,Research Institute for Environmental Sciences of Guangxi-Zhuang Autonomous Region;nanning 530022;China,Liuzhou EPA;guangxi-Zhuang Autonomous Region;Liuzhou 545007;China and Liuzhou EPA;guangxi-Zhuang Autonomous Region;Liuzhou 545007;China
Abstract:A deterministic linear programming model which optimizes the abatement of each SO2 emission source, is extended into a CCP form by introducing equations of probabilistic constrained through the incorporation of uncertainty in the source-receptor-specific transfer coefficients. Based on the calculation of SO2 and sulfate average residence time for Liuzhou City, a sulfur deposition model has been developed and the distribution of transfer coefficients have been found to be approximately log-normal. Sulfur removal minimization of the model shows that the abatement of emission sources in the city is more effective, while control cost optimization provides the lowest cost programmes for source abatement at each allowable deposition limit under varied environmental risk levels. Finally a practicable programme is recommended.
Keywords:chance-constrained programming  emission source abatement  acid deposition  
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