| Title: | "Ozone pollution characteristics and sensitivity analysis using an observation-based model in Nanjing, Yangtze River Delta Region of China" |
| Author(s): | Wang M; Chen W; Zhang L; Qin W; Zhang Y; Zhang X; Xie X; |
| Address: | "Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: wangming@nuist.edu.cn. Jiangsu Environmental Monitoring Center, Nanjing 210036, China. Electronic address: chenwentai@ies-tech.cn. Jiangsu Environmental Monitoring Center, Nanjing 210036, China. Department of Ecology and Environment of Jiangsu Province, Nanjing 210036, China. Nanjing Environmental Monitoring Center, Jiangsu Province, Nanjing 210013, China" |
| DOI: | 10.1016/j.jes.2020.02.027 |
| ISSN/ISBN: | 1001-0742 (Print) 1001-0742 (Linking) |
| Abstract: | "Ground-level ozone (O(3)) has become a critical pollutant impeding air quality improvement in Yangtze River Delta region of China. In this study, we present O(3) pollution characteristics based on one-year online measurements during 2016 at an urban site in Nanjing, Jiangsu Province. Then, the sensitivity of O(3) to its precursors during 2 O(3) pollution episodes in August was analyzed using a box model based on observation (OBM). The relative incremental reactivity (RIR) of hydrocarbons was larger than other precursors, suggesting that hydrocarbons played the dominant role in O(3) formation. The RIR values for NO(X) ranged from -0.41%/% to 0.19%/%. The O(3) sensitivity was also analyzed based on relationship of simulated O(3) production rates with reductions of VOC and NO(X) derived from scenario analyses. Simulation results illustrate that O(3) formation was between VOCs-limited and transition regime. Xylenes and light alkenes were found to be key species in O(3) formation according to RIR values, and their sources were determined using the Positive Matrix Factorization (PMF) model. Paints and solvent use was the largest contributor to xylenes (54%), while petrochemical industry was the most important source to propene (82%). Discussions on VOCs and NO(X) reduction schemes suggest that the 5% O(3) control goal can be achieved by reducing VOCs by 20%. To obtain 10% O(3) control goal, VOCs need to be reduced by 30% with VOCs/NO(X) larger than 3:1" |
| Keywords: | Air Pollutants/*analysis China Environmental Monitoring Ozone/*analysis Volatile Organic Compounds/*analysis Obm Ozone sensitivity VOCs Yangtze River Delta; |
| Notes: | "MedlineWang, Ming Chen, Wentai Zhang, Lin Qin, Wei Zhang, Yong Zhang, Xiangzhi Xie, Xin eng Netherlands 2020/05/25 J Environ Sci (China). 2020 Jul; 93:13-22. doi: 10.1016/j.jes.2020.02.027. Epub 2020 Mar 12" |
