Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis
Ruiyuan Li,Miaoqing Xu,Manchun Li,Ziyue Chen,Na Zhao,Bingbo Gao,and Qi Yao
Ruiyuan Li
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China
Miaoqing Xu
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China
Manchun Li
School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China
Na Zhao
State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100049, China
University of Chinese Academy of Sciences, Beijing, 100080, China
Bingbo Gao
College of Land Science and Technology, China Agriculture University, Beijing, 100083, China
Qi Yao
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Sciences, Beijing Normal University, Beijing, 100875, China
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Viewed (geographical distribution)
Total article views: 4,817 (including HTML, PDF, and XML)
Thereof 4,817 with geography defined
and 0 with unknown origin.
Total article views: 3,952 (including HTML, PDF, and XML)
Thereof 3,952 with geography defined
and 0 with unknown origin.
Total article views: 865 (including HTML, PDF, and XML)
Thereof 865 with geography defined
and 0 with unknown origin.
We employed ground observations of ozone and satellite products of HCHO and NO2 to investigate spatiotemporal variations of ozone formation regimes across China. Two different models were employed for determining the crucial thresholds that separate three ozone formation regimes, including NOx-limited, VOC-limited, and transitional regimes. The close output from two different models provides a reliable reference for better understanding ozone formation regimes.
We employed ground observations of ozone and satellite products of HCHO and NO2 to investigate...
