title: An optimization model for regional air pollutants mitigation based on the economic structure adjustment and multiple measures: A case study in Urumqi city, China.
abstract: A model based on economic structure adjustment and pollutants mitigation was proposed and applied in Urumqi. Best-worst case analysis and scenarios analysis were performed in the model to guarantee the parameters accuracy, and to analyze the effect of changes of emission reduction styles. Results indicated that pollutant-mitigations of electric power industry, iron and steel industry, and traffic relied mainly on technological transformation measures, engineering transformation measures and structure emission reduction measures, respectively; Pollutant-mitigations of cement industry relied mainly on structure emission reduction measures and technological transformation measures; Pollutant-mitigations of thermal industry relied mainly on the four mitigation measures. They also indicated that structure emission reduction was a better measure for pollutants mitigation of Urumqi. Iron and steel industry contributed greatly in SO2, NOx and PM (particulate matters) emission reduction and should be given special attention in pollutants emission reduction. In addition, the scales of iron and steel industry should be reduced with the decrease of SO2 mitigation amounts. The scales of traffic and electric power industry should be reduced with the decrease of NOx mitigation amounts, and the scales of cement industry and iron and steel industry should be reduced with the decrease of PM mitigation amounts. The study can provide references of pollutants mitigation schemes to decision-makers for regional economic and environmental development in the 12th Five-Year Plan on National Economic and Social Development of Urumqi.
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, S-C Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Sun
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, S-C Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Li
authors.affiliation: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
authors.forename: Yulei
authors.initials: Y
authors.lastname: Xie
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, S-C Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China. Electronic address: huang@iseis.org.
authors.forename: Guohe
authors.initials: G
authors.lastname: Huang
authors.affiliation: China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
authors.forename: Changjuan
authors.initials: C
authors.lastname: Dong
authors.affiliation: State Grid Shandong Electric Power Research Institute, Jinan 250002, China.
authors.forename: Jianguang
authors.initials: J
authors.lastname: Yin
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis* / Q000517:prevention & control; D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D052918:Environmental Restoration and Remediation / Q000191:economics / Q000379:methods*; D007221:Industry; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis*; D011210:Power Plants; D013232:Steel; D001335:Vehicle Emissions
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D001335:Vehicle Emissions; D013232:Steel
keywords: Best and worst case analysis; Engineering emission reduction; Scenarios analysis; Structure emission reduction