Articles | Volume 21, issue 20
https://doi.org/10.5194/acp-21-15631-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-15631-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis
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
Ziyue Chen
CORRESPONDING AUTHOR
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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35 citations as recorded by crossref.
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- Investigating vertical distributions and photochemical indications of formaldehyde, glyoxal, and NO2 from MAX-DOAS observations in four typical cities of China Q. Hong et al. 10.1016/j.scitotenv.2024.176447
- Multiple Impacts of Aerosols on O3 Production Are Largely Compensated: A Case Study Shenzhen, China Z. Tan et al. 10.1021/acs.est.2c06217
- Evolution of ozone formation regimes during different periods in representative regions of China J. Zhang et al. 10.1016/j.atmosenv.2024.120830
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- Compound hot and ozone extremes in urban China N. An et al. 10.1016/j.uclim.2023.101689
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- Deep cut of anthropogenic nitrogen oxides emissions to mitigate ozone vegetation damages in China M. Lu et al. 10.1016/j.atmosenv.2022.119454
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- Analysis of Vertical Distribution Changes and Influencing Factors of Tropospheric Ozone in China from 2005 to 2020 Based on Multi-Source Data Y. Zhang et al. 10.3390/ijerph191912653
- Long-term changes of surface ozone and ozone sensitivity over the North China Plain based on 2015–2021 satellite retrievals C. Zhu et al. 10.1007/s11869-024-01598-z
- Elucidating the mechanisms of rapid O3 increase in North China Plain during COVID-19 lockdown period R. Li et al. 10.1016/j.scitotenv.2023.167622
- Diurnal emission variation of ozone precursors: Impacts on ozone formation during Sep. 2019 Y. Tang et al. 10.1016/j.scitotenv.2024.172591
- Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
- Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China L. Qi et al. 10.1088/1748-9326/ad376d
- Ambient fine particulate matter and ozone pollution in China: synergy in anthropogenic emissions and atmospheric processes Y. Jiang et al. 10.1088/1748-9326/aca16a
- Vertical Evolution of Ozone Formation Sensitivity Based on Synchronous Vertical Observations of Ozone and Proxies for Its Precursors: Implications for Ozone Pollution Prevention Strategies Q. Hu et al. 10.1021/acs.est.4c00637
Latest update: 12 Oct 2024
Short summary
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...
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