| Title: | Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China |
| Author(s): | Fang T; Zhu Y; Jang J; Wang S; Xing J; Chiang PC; Fan S; You Z; Li J; |
| Address: | "Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, 510006, China. Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory, Sun Yat-Sen University, Zhuhai, 519000, China. Electronic address: zhuyun@scut.edu.cn. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China. Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, 10673, Taiwan; Carbon Cycle Research Center, National Taiwan University, 10672, Taiwan. Southern Marine Science and Engineering Guangdong Laboratory, Sun Yat-Sen University, Zhuhai, 519000, China" |
| DOI: | 10.1016/j.jenvman.2020.110650 |
| ISSN/ISBN: | 1095-8630 (Electronic) 0301-4797 (Linking) |
| Abstract: | "The nonlinear response of O(3) to nitrogen oxides (NO(x)) and volatile organic compounds (VOC) is not conducive to accurately identify the various source contributions and O(3)-NO(x)-VOC relationships. An enhanced meta-modeling approach, polynomial functions based response surface modeling coupled with the sectoral linear fitting technique (pf-ERSM-SL), integrating a new differential method (DM), was proposed to break through the limitation. The pf-ERSM-SL with DM was applied for analysis of O(3) formation regime and real-time source contributions in July and October 2015 over the Pearl River Delta Region (PRD) of Mainland China. According to evaluations, the pf-ERSM-SL with DM was proven to be effective in source apportionment when the traditional sensitivity analysis was unsuitable for deriving the source contributions in the nonlinear system. After diagnosing the O(3)-NO(x)-VOC relationships, O(3) formation in most regions of the PRD was identified as a distinctive NO(x)-limited regime in July; in October, the initial VOC-limited regime was found at small emission reductions (less than 22-44%), but it will transit to NO(x)-limited when further reductions were implemented. Investigation of the source contributions suggested that NO(x) emissions were the dominated contributor when turning-off the anthropogenic emissions, occupying 85.41-94.90% and 52.60-75.37% of the peak O(3) responses in July and October respectively in the receptor regions of the PRD; NO(x) emissions from the on-road mobile source (NO(x)_ORM) in Guangzhou (GZ), Dongguan&Shenzhen (DG&SZ) and Zhongshan (ZS) were identified as the main contributors. Consequently, the reinforced control of NO(x)_ORM is highly recommended to lower the ambient O(3) in the PRD effectively" |
| Keywords: | *Air Pollutants China Environmental Monitoring *Ozone Rivers Nonlinear response O(3) O(3)-NO(x)-VOC relationships Response surface modeling Source contribution; |
| Notes: | "MedlineFang, Tingting Zhu, Yun Jang, Jicheng Wang, Shuxiao Xing, Jia Chiang, Pen-Chi Fan, Shaojia You, Zhiqiang Li, Jinying eng England 2020/06/09 J Environ Manage. 2020 Aug 15; 268:110650. doi: 10.1016/j.jenvman.2020.110650. Epub 2020 May 14" |
