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J Environ Sci (China)
Title: | "Effect of current emission abatement strategies on air quality improvement in China: A case study of Baotou, a typical industrial city in Inner Mongolia" |
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Author(s): | Qiu X; Duan L; Cai S; Yu Q; Wang S; Chai F; Gao J; Li Y; Xu Z; |
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Address: | "State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Centre for Regional Environmental Quality, Tsinghua University, Beijing 100084, China. Electronic address: lduan@tsinghua.edu.cn. State Key Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Environmental Protection Bureau of Baotou, Baotou 014000, China" |
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Journal Title: | J Environ Sci (China) |
Year: | 2017 |
Volume: | 20161230 |
Issue: | |
Page Number: | 383 - 390 |
DOI: | 10.1016/j.jes.2016.12.014 |
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ISSN/ISBN: | 1001-0742 (Print) 1001-0742 (Linking) |
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Abstract: | "The national Air Pollution Prevention and Control Action Plan required significant decreases in PM(2.5) levels over China. To explore more effective emission abatement strategies in industrial cities, a case study was conducted in Baotou to evaluate the current national control measures. The total emissions of SO(2,) NO(X), PM(2.5) and NMVOC (non-methane volatile organic compounds) in Baotou were 211.2Gg, 156.1Gg, 28.8Gg, and 48.5Gg, respectively in 2013, and they would experience a reduction of 30.4%, 26.6%, 15.1%, and 8.7%, respectively in 2017 and 39.0%, 32.0%, 24.4%, and 12.9%, respectively in 2020. The SO(2), NO(X) and PM(2.5) emissions from the industrial sector would experience a greater decrease, with reductions of 37%, 32.7 and 24.3%, respectively. From 2013 to 2020, the concentrations of SO(2), NO(2), and PM(2.5) are expected to decline by approximately 30%, 10% and 14.5%, respectively. The reduction rate of SNA (sulfate, nitrate and ammonium) concentrations was significantly higher than that of PM(2.5) in 2017, implying that the current key strategy toward controlling air pollutants from the industrial sector is more powerful for SNA. Although air pollution control measures implemented in the industrial sector could greatly reduce total emissions, constraining the emissions from lower sources such as residential coal combustion would be more effective in decreasing the concentration of PM(2.5) from 2017 to 2020. These results suggest that even for a typical industrial city, the reduction of PM(2.5) concentrations not only requires decreases in emissions from the industrial sector, but also from the low emission sources. The seasonal variation in sulfate concentration also showed that emission from coal-burning is the key factor to control during the heating season" |
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Keywords: | Air Pollutants/analysis Air Pollution/*prevention & control/statistics & numerical data China Cities *Environmental Monitoring *Environmental Policy Heating Housing Industry Nitrogen Oxides/analysis Particulate Matter/analysis Quality Improvement Volatile; |
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Notes: | "MedlineQiu, Xionghui Duan, Lei Cai, Siyi Yu, Qian Wang, Shuxiao Chai, Fahe Gao, Jian Li, Yanping Xu, Zhaoming eng Evaluation Study Netherlands 2017/06/26 J Environ Sci (China). 2017 Jul; 57:383-390. doi: 10.1016/j.jes.2016.12.014. Epub 2016 Dec 30" |
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