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Ozone sensitivity regimes vary at different heights in the planetary boundary layer.
Li, Xin; Wang, Wenjie; Yang, Suding; Cheng, Yafang; Zeng, Limin; Yu, Xuena; Lu, Sihua; Liu, Ying; Hu, Min; Xie, Shaodong; Huang, Xiaofeng; Zhou, Jun; Shi, Lei; Xu, Haibin; Lin, Shuchen; Liu, Hefan; Feng, Miao; Song, Danlin; Tan, Qinwen; Zhang, Yuanhang.
Affiliation
  • Li X; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China; Collaborative Innov
  • Wang W; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Minerva Research Group, Max Planck Institute for Chemistry, Mainz 55128, Germany. Electronic address: Wenjie.Wang@mpic.de.
  • Yang S; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China.
  • Cheng Y; Minerva Research Group, Max Planck Institute for Chemistry, Mainz 55128, Germany.
  • Zeng L; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China; Collaborative Innov
  • Yu X; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Lu S; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China; Collaborative Innov
  • Liu Y; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China.
  • Hu M; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China; Collaborative Innov
  • Xie S; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China.
  • Huang X; Environmental Laboratory, PKU-HKUST Shenzhen-Hong Kong Institution, Shenzhen 518057, China; Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
  • Zhou J; Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China.
  • Shi L; Quadrant Space (Tianjin) Technology Co., Ltd, Tianjin 301700, China.
  • Xu H; Quadrant Space (Tianjin) Technology Co., Ltd, Tianjin 301700, China.
  • Lin S; Quadrant Space (Tianjin) Technology Co., Ltd, Tianjin 301700, China.
  • Liu H; Chengdu Academy of Environmental Sciences, Chengdu 610072, China.
  • Feng M; Chengdu Academy of Environmental Sciences, Chengdu 610072, China.
  • Song D; Chengdu Academy of Environmental Sciences, Chengdu 610072, China.
  • Tan Q; Chengdu Academy of Environmental Sciences, Chengdu 610072, China.
  • Zhang Y; State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing, 100816, China; Collaborative Innov
Sci Total Environ ; 944: 173712, 2024 Sep 20.
Article de En | MEDLINE | ID: mdl-38830412
ABSTRACT
The sensitivity of tropospheric ozone (O3) to its precursors volatile organic compounds (VOCs) and nitrogen oxides (NOX) determines the emission reduction strategy for O3 mitigation. Due to the lack of comprehensive vertical measurements of VOCs, the vertical distribution of O3 sensitivity regimes has not been well understood. O3 precursor sensitivity determined by ground-level measurements has been generally used to guide O3 control strategy. Here, to precisely diagnose O3 sensitivity regimes at different heights in the planetary boundary layer (PBL), we developed a vertical measurement system based on an unmanned aerial vehicle platform to conduct comprehensive vertical measurements of VOCs, NOX and other relevant parameters. Our results suggest that the O3 precursor sensitivity shifts from a VOC-limited regime at the ground to a NOX-limited regime at upper layers, indicating that the ground-level O3 sensitivity cannot represent the situation of the whole PBL. We also found that the state-of-the-art photochemical model tends to underestimate oxygenated VOCs at upper layers, resulting in overestimation of the degree of VOCs-limited regime. Therefore, thorough vertical measurements of VOCs to accurately diagnose O3 precursor sensitivity is in urgent need for the development of effective O3 control strategies.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Total Environ Année: 2024 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Total Environ Année: 2024 Type de document: Article