Literature DB >> 32446449

Ozone pollution characteristics and sensitivity analysis using an observation-based model in Nanjing, Yangtze River Delta Region of China.

Ming Wang1, Wentai Chen2, Lin Zhang3, Wei Qin3, Yong Zhang3, Xiangzhi Zhang4, Xin Xie5.   

Abstract

Ground-level ozone (O3) has become a critical pollutant impeding air quality improvement in Yangtze River Delta region of China. In this study, we present O3 pollution characteristics based on one-year online measurements during 2016 at an urban site in Nanjing, Jiangsu Province. Then, the sensitivity of O3 to its precursors during 2 O3 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 O3 formation. The RIR values for NOX ranged from -0.41%/% to 0.19%/%. The O3 sensitivity was also analyzed based on relationship of simulated O3 production rates with reductions of VOC and NOX derived from scenario analyses. Simulation results illustrate that O3 formation was between VOCs-limited and transition regime. Xylenes and light alkenes were found to be key species in O3 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 NOX reduction schemes suggest that the 5% O3 control goal can be achieved by reducing VOCs by 20%. To obtain 10% O3 control goal, VOCs need to be reduced by 30% with VOCs/NOX larger than 3:1.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  OBM; Ozone sensitivity; VOCs; Yangtze River Delta

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Year:  2020        PMID: 32446449     DOI: 10.1016/j.jes.2020.02.027

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  3 in total

1.  Impact of COVID-19 lockdown on ambient levels and sources of volatile organic compounds (VOCs) in Nanjing, China.

Authors:  Ming Wang; Sihua Lu; Min Shao; Limin Zeng; Jun Zheng; Fangjian Xie; Haotian Lin; Kun Hu; Xingdong Lu
Journal:  Sci Total Environ       Date:  2020-11-20       Impact factor: 7.963

2.  Ambient ozone pollution at a coal chemical industry city in the border of Loess Plateau and Mu Us Desert: characteristics, sensitivity analysis and control strategies.

Authors:  Manfei Yin; Xin Zhang; Yunfeng Li; Kai Fan; Hong Li; Rui Gao; Jinjuan Li
Journal:  PeerJ       Date:  2021-04-27       Impact factor: 2.984

3.  Identifying potentially contaminated areas with MaxEnt model for petrochemical industry in China.

Authors:  Meng Wang; Huichao Chen; Mei Lei
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-18       Impact factor: 5.190

  3 in total

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