Application of Interval-fuzzy Linear Programming for Total Amount Control Optimization Model on Regional Atmospheric Pollutants

摘要：

　　Aiming at the harsh environmental situation at present, this paper applied the interval fuzzy linear programming method, and combines environmental management policy about the total control of regional atmospheric pollution, to set up an optimization model for total amount control of regional atmospheric pollutants under uncertainty.Through the model results, the total cost of reduction in instance case was 119.98, 125.82 (10s yuan), and the membership of SO2 and NOx predicted through the model were 31.00, 32.64 and 23.62, 25.94 (104 tons), respectively.This model could get the minimum total cost of emission reduction, and be used as the technique and theory guider for the total amount control of atmospheric pollutants.

关键词： regional total amount control interval-fuzzy linear programming atmospheric pollutants emissions reduction environmental management

作者: Jingya Wen Zesen Wang Yan Hu Zhuang Li Yu Li

作者单位: MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, B MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, B

会议类型: 国际会议

会议名称: 2013International Conference on Energy Engineering and Environmental Engineering(2013年能源工程与环境工程国际会议)(ICEEEE2013)

会议地点: 杭州

会议语种:英文

页码: 493-496

在线出版日期: 2013-01-18（万方平台首次上网日期，不代表论文的发表时间）