Your browser doesn't support javascript.
loading
Response surface model based emission source contribution and meteorological pattern analysis in ozone polluted days.
Chen, Ying; Zhu, Yun; Lin, Che-Jen; Arunachalam, Saravanan; Wang, Shuxiao; Xing, Jia; Chen, Duohong; Fan, Shaojia; Fang, Tingting; Jiang, Anqi.
Affiliation
  • Chen Y; 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.
  • Zhu Y; 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 (Zhuhai), Sun
  • Lin CJ; Department of Civil and Environmental Engineering, Lamar University, Beaumont, TX, 77710, USA.
  • Arunachalam S; Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Wang S; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
  • Xing J; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
  • Chen D; Guangdong Environmental Monitoring Center, Guangzhou, 510308, China.
  • Fan S; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Zhuhai, 519000, China.
  • Fang T; 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.
  • Jiang A; 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.
Environ Pollut ; 307: 119459, 2022 Aug 15.
Article in En | MEDLINE | ID: mdl-35568288
ABSTRACT
Urban and regional ozone (O3) pollution is a public health concern and causes damage to ecosystems. Due to the diverse emission sources of O3 precursors and the complex interactions of air dispersion and chemistry, identifying the contributing sources of O3 pollution requires integrated analysis to guide emission reduction plans. In this study, the meteorological characteristics leading to O3 polluted days (in which the maximum daily 8-h average O3 concentration is higher than the China Class II National O3 Standard (160 µg/m3)) in Guangzhou (GZ, China) were analyzed based on data from 2019. The O3 formation regimes and source apportionments under various prevailing wind directions were evaluated using a Response Surface Modeling (RSM) approach. The results showed that O3 polluted days in 2019 could be classified into four types of synoptic patterns (i.e., cyclone, anticyclone, trough, and high pressure approaching to sea) and were strongly correlated with high ambient temperature, low relative humidity, low wind speed, variable prevailing wind directions. Additionally, the cyclone pattern strongly promoted O3 formation due to its peripheral subsidence. The O3 formation was nitrogen oxides (NOx)-limited under the northerly wind, while volatile organic compounds (VOC)-limited under other prevailing wind directions. Anthropogenic emissions contributed largely to the O3 formation (54-78%) under the westerly, southwesterly, easterly, southeasterly, or southerly wind, but only moderately (35-47%) under the northerly or northeasterly wind. Furthermore, as for anthropogenic contributions, local emission contributions were the largest (39-60%) regardless of prevailing wind directions, especially the local NOx contributions (19-43%); the dominant upwind regional emissions contributed 12-46% (e.g., contributions from Dongguan were 12-20% under the southeasterly wind). The emission control strategies for O3 polluted days should focus on local emission sources in conjunction with the emission reduction of upwind regional sources.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2022 Document type: Article Affiliation country: China
...