| Title: | Evaluation of a highly condensed SAPRC chemical mechanism and two emission inventories for ozone source apportionment and emission control strategy assessments in China |
| Author(s): | Kang M; Hu J; Zhang H; Ying Q; |
| Address: | "Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai 200233, China. Electronic address: mjkang@fudan.edu.cn. Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China. Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai 200233, China. Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843-3136, USA. Electronic address: qying@civil.tamu.edu" |
| DOI: | 10.1016/j.scitotenv.2021.151922 |
| ISSN/ISBN: | 1879-1026 (Electronic) 0048-9697 (Linking) |
| Abstract: | "The response of summertime O(3) to changes in the nitrogen oxides (NO(x)) and volatile organic compounds (VOC) emissions, and contributions of different NO(x) and VOC sources to O(3) in China are studied using a highly condensed photochemical mechanism in the Statewide Air Pollution Research Center (SAPRC) family (CS07A) and two popular anthropogenic emission inventories, the Multi-resolution Emission Inventory for China (MEIC) and Regional Emission inventory in ASia (REAS). Although CS07A predicts slightly lower O(3) concentrations than the standard fix-parameter version of the SAPRC-11 mechanism, the two mechanisms predict almost identical relative responses to daily maximum 8-hour O(3) (O(3)-8h) due to NO(x) and VOC emission reductions. A source-oriented version of the CS07A is applied to determine source contributions of NO(x) and VOCs to O(3) using MEIC and REAS. The two inventories lead to similar model performance of O(3), with MEIC predicting higher O(3) in Beijing and Shanghai, especially on high O(3) days. Source apportionment results show that industry and transportation are the top two contributors to non-background O(3) for both inventories, followed by power and biogenic emissions. In general, the two inventories lead to similar source contribution estimations to O(3) attributable to NO(x). However, their estimations of relative contributions to VOC-related O(3) differ for the industrial and transportation sectors. Differences in the source apportionment results are more significant in some urban areas, although both emissions capture the spatial variations in the source contributions. Our results suggest that future emission control policies should be assessed using multiple emission inventories, and the condensed CS07A is suitable for policy applications when a large number of simulations are needed" |
| Keywords: | *Air Pollutants/analysis *Air Pollution China Environmental Monitoring *Ozone/analysis *Volatile Organic Compounds/analysis Cmaq Cs07a Meic Reas Relative response factor Saprc-11; |
| Notes: | "MedlineKang, Mingjie Hu, Jianlin Zhang, Hongliang Ying, Qi eng Netherlands 2021/11/27 Sci Total Environ. 2022 Mar 20; 813:151922. doi: 10.1016/j.scitotenv.2021.151922. Epub 2021 Nov 24" |
