| Title: | Least-cost control strategy optimization for air quality attainment of Beijing-Tianjin-Hebei region in China |
| Author(s): | Xing J; Zhang F; Zhou Y; Wang S; Ding D; Jang C; Zhu Y; Hao J; |
| Address: | "State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China. Tianjin Academy of Environmental Science, Tianjin, 300191, China; Key Laboratory of Tianjin Air Pollution Control, Tianjin, 300191, China. State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China. Electronic address: shxwang@tsinghua.edu.cn. The U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA. College of Environmental Science & Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, China" |
| DOI: | 10.1016/j.jenvman.2019.05.022 |
| ISSN/ISBN: | 1095-8630 (Electronic) 0301-4797 (Print) 0301-4797 (Linking) |
| Abstract: | "Control strategies can be optimized to attain air quality standards at minimal cost through selecting optimal combinations of controls on various pollutants and regional sources. In this study, we developed a module for least-cost control strategy optimization based on a real-time prediction system of the responses of pollution concentrations to emissions changes and marginal cost curves of pollutant controls. Different from other method, in this study the relationship between pollution concentrations to and precursor emissions was derived from multiple air quality simulations in which the nonlinear interactions among different precursor emissions can be well addressed. Hypothetical control pathways were designed to attain certain air quality goals for particulate matter (PM(2.5)) and ozone (O(3)) in the Beijing-Tianjin-Hebei region under the 2014 baseline emission level. Results suggest that reducing local primary PM emissions was the most cost-efficient method to attain the ambient PM(2.5) standard, whereas for O(3) attainment, reducing regional emission sources of gaseous pollutants (i.e., SO(2), NO(x), and volatile organic compounds (VOCs)) exhibited greater effectiveness. NH(3) controls may be cost-efficient in achieving strengthened PM(2.5) targets; however, they might not help in reducing O(3). To achieve both PM(2.5) (<35?ª+mug?ª+m(-3)) and O(3) (daily 1-h maxima concentration?ª+ |
| Keywords: | *Air Pollutants *Air Pollution Beijing China Cost Control Environmental Monitoring Particulate Matter Air pollution Air quality attainment Control strategy Fine particles Least-cost optimization Ozone; |
| Notes: | "MedlineXing, Jia Zhang, Fenfen Zhou, Yang Wang, Shuxiao Ding, Dian Jang, Carey Zhu, Yun Hao, Jiming eng EPA999999/ImEPA/Intramural EPA/ England 2019/06/01 J Environ Manage. 2019 Sep 1; 245:95-104. doi: 10.1016/j.jenvman.2019.05.022. Epub 2019 May 28" |
