Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-13455-2020
© Author(s) 2020. 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-20-13455-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China
Zhihao Shi
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation
Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology,
Nanjing 210044, China
Lin Huang
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation
Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology,
Nanjing 210044, China
Jingyi Li
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation
Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology,
Nanjing 210044, China
Qi Ying
Zachry Department of Civil and Environmental Engineering, Texas A&M
University, College Station, TX 77843, USA
Hongliang Zhang
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200438, China
Institute of Eco-Chongming (SIEC), Shanghai 200062, China
Jianlin Hu
CORRESPONDING AUTHOR
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Collaborative Innovation
Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology,
Nanjing 210044, China
Viewed
Total article views: 4,867 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2020)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,846 | 958 | 63 | 4,867 | 287 | 48 | 79 |
- HTML: 3,846
- PDF: 958
- XML: 63
- Total: 4,867
- Supplement: 287
- BibTeX: 48
- EndNote: 79
Total article views: 4,062 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Nov 2020)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,302 | 709 | 51 | 4,062 | 155 | 32 | 63 |
- HTML: 3,302
- PDF: 709
- XML: 51
- Total: 4,062
- Supplement: 155
- BibTeX: 32
- EndNote: 63
Total article views: 805 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Mar 2020)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
544 | 249 | 12 | 805 | 132 | 16 | 16 |
- HTML: 544
- PDF: 249
- XML: 12
- Total: 805
- Supplement: 132
- BibTeX: 16
- EndNote: 16
Viewed (geographical distribution)
Total article views: 4,867 (including HTML, PDF, and XML)
Thereof 4,954 with geography defined
and -87 with unknown origin.
Total article views: 4,062 (including HTML, PDF, and XML)
Thereof 4,194 with geography defined
and -132 with unknown origin.
Total article views: 805 (including HTML, PDF, and XML)
Thereof 760 with geography defined
and 45 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
57 citations as recorded by crossref.
- Contrasting chemical environments in summertime for atmospheric ozone across major Chinese industrial regions: the effectiveness of emission control strategies Z. Liu et al. 10.5194/acp-21-10689-2021
- Future Co‐Occurrences of Hot Days and Ozone‐Polluted Days Over China Under Scenarios of Shared Socioeconomic Pathways Predicted Through a Machine‐Learning Approach C. Gong et al. 10.1029/2022EF002671
- Effect of land surface parameters on meteorology and ozone air quality simulations in the Great Bay Area, China Q. Wang et al. 10.1016/j.atmosenv.2023.120146
- Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019 X. Meng et al. 10.1016/j.envpol.2022.118865
- Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China Y. Qu et al. 10.3390/rs14133051
- Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China L. Shi et al. 10.1016/j.atmosenv.2021.118685
- Diagnostic analysis of regional ozone pollution in Yangtze River Delta, China: A case study in summer 2020 L. Li et al. 10.1016/j.scitotenv.2021.151511
- The effects of the clean air actions on the Beautiful China initiative: The regional heterogeneity analysis H. Wang et al. 10.1016/j.eiar.2024.107598
- Unexpected Increases of Severe Haze Pollution During the Post COVID‐19 Period: Effects of Emissions, Meteorology, and Secondary Production W. Zhou et al. 10.1029/2021JD035710
- Assessing the Impacts of Climate Change on Meteorology and Air Stagnation in China Using a Dynamical Downscaling Method A. Hu et al. 10.3389/fenvs.2022.894887
- Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2.5 pollution Z. Zhang et al. 10.1016/j.envres.2022.113322
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Examining and predicting the influence of climatic and terrestrial factors on the seasonal distribution of ozone column depth over Tehran province using satellite observations F. Borhani et al. 10.1007/s11600-023-01179-1
- Evaluating the Spatiotemporal Ozone Characteristics with High-Resolution Predictions in Mainland China, 2013–2019 X. Meng et al. 10.2139/ssrn.3957870
- Integrated process analysis retrieval of changes in ground-level ozone and fine particulate matter during the COVID-19 outbreak in the coastal city of Kannur, India F. Ye et al. 10.1016/j.envpol.2022.119468
- The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate L. Jovanovic et al. 10.3390/atmos14010109
- Analysis of coordinated relationship between PM<sub>2.5</sub> and ozone and its affecting factors on different timescales J. Sun et al. 10.1360/TB-2021-0742
- Response Surface Model Based Emission Source Contribution and Meteorological Pattern Analysis in Ozone Polluted Days Y. Chen et al. 10.2139/ssrn.4045860
- Impact of Lockdowns on Air Pollution: Case Studies of Two Periods in 2022 in Guangzhou, China X. Zhao et al. 10.3390/atmos15091144
- Projection of the Near-Future PM2.5 in Northern Peninsular Southeast Asia under RCP8.5 T. Amnuaylojaroen et al. 10.3390/atmos13020305
- Detecting atmospheric oxidation in the PM2.5 and ozone multilayer complex network N. Ying et al. 10.1088/1748-9326/ad7869
- Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. 10.1016/j.atmosres.2022.106395
- Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network Q. Wang et al. 10.1016/j.jes.2023.09.001
- Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences R. Li et al. 10.5194/acp-21-8677-2021
- Relationship between summer time near-surface ozone concentration and planetary boundary layer height in Beijing C. Zhang et al. 10.1016/j.atmosres.2023.106892
- Sensitivity of PM2.5 and O3 pollution episodes to meteorological factors over the North China Plain S. Ma et al. 10.1016/j.scitotenv.2021.148474
- Analysis of spatiotemporal variation and relationship to land use – landscape pattern of PM2.5 and O3 in typical arid zone Z. Chen & Z. Zhang 10.1016/j.scs.2024.105689
- Urban–Rural Disparities in Air Quality Responses to Traffic Changes in a Megacity of China Revealed Using Machine Learning Y. Wen et al. 10.1021/acs.estlett.2c00246
- A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions X. Liu et al. 10.1016/j.apr.2023.101647
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China L. Zhang et al. 10.1016/j.scitotenv.2024.171295
- Spatiotemporal characteristics of PM2.5 and ozone concentrations in Chinese urban clusters C. Deng et al. 10.1016/j.chemosphere.2022.133813
- Revisiting the impact of temperature on ground-level ozone: A causal inference approach B. Chen et al. 10.1016/j.scitotenv.2024.176062
- Impact of Particulate Matter-Centric Clean Air Action Plans on Ozone Concentrations in India M. Gupta et al. 10.1021/acsearthspacechem.2c00397
- Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China K. Xiong et al. 10.1016/j.envpol.2022.120926
- Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning L. Wang et al. 10.1016/j.envpol.2022.120798
- Different contributions of meteorological conditions and emission reductions to the ozone pollution during Shanghai’s COVID-19 lockdowns in winter and spring X. Dou et al. 10.1016/j.apr.2024.102252
- Implications of 1.5 K climate warming on warm-season ozone exposure and atmospheric oxidation capacity in China Z. Shi et al. 10.1016/j.aosl.2024.100556
- Response surface model based emission source contribution and meteorological pattern analysis in ozone polluted days Y. Chen et al. 10.1016/j.envpol.2022.119459
- Correlation between surface PM2.5 and O3 in eastern China during 2015–2019: Spatiotemporal variations and meteorological impacts L. Wang et al. 10.1016/j.atmosenv.2022.119520
- Multi-scale analysis of the impacts of meteorology and emissions on PM2.5 and O3 trends at various regions in China from 2013 to 2020 3. Mechanism assessment of O3 trends by a model W. Pan et al. 10.1016/j.scitotenv.2022.159592
- Unique impacts of strong and westward-extended western Pacific subtropical high on ozone pollution over eastern China M. Li et al. 10.1016/j.envpol.2024.124515
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. 10.1016/j.scitotenv.2024.174365
- Large-scale synoptic drivers of co-occurring summertime ozone and PM<sub>2.5</sub> pollution in eastern China L. Zong et al. 10.5194/acp-21-9105-2021
- Insights from ozone and particulate matter pollution control in New York City applied to Beijing J. Zhang et al. 10.1038/s41612-022-00309-8
- Using the COVID-19 lockdown to identify atmospheric processes and meteorology influences on regional PM2.5 pollution episodes in the Beijing-Tianjin-Hebei, China I. Sulaymon et al. 10.1016/j.atmosres.2023.106940
- Vertical distribution and transport characteristics of ozone pollution based on lidar observation network and data assimilation over the Pearl River Delta, China Y. Pan et al. 10.1016/j.atmosres.2024.107643
- Contrasting Trends of Surface PM2.5, O3, and NO2 and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta M. Lv et al. 10.3390/ijerph182312471
- Influence of meteorological reanalysis field on air quality modeling in the Yangtze River Delta, China X. Wang et al. 10.1016/j.atmosenv.2023.120231
- Double high pollution events in the Yangtze River Delta from 2015 to 2019: Characteristics, trends, and meteorological situations Y. Qin et al. 10.1016/j.scitotenv.2021.148349
- Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model T. Amnuaylojaroen & I. Levy 10.1155/2022/3190484
- Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction H. Yao et al. 10.1016/j.heliyon.2023.e15799
- Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China—Implications for PM2.5 Remote Sensing L. Qi et al. 10.3390/rs14122762
- Seasonal and Diurnal Characteristics of the Vertical Profile of Aerosol Optical Properties in Urban Beijing, 2017–2021 X. Zhang et al. 10.3390/rs15020475
- Air Quality During COVID-19 Lockdown in the Yangtze River Delta and the Pearl River Delta: Two Different Responsive Mechanisms to Emission Reductions in China N. Wang et al. 10.1021/acs.est.0c08383
- Impacts of meteorology and precursor emission change on O3 variation in Tianjin, China from 2015 to 2021 J. Ding et al. 10.1016/j.jes.2022.03.010
- Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China T. Liu et al. 10.1021/acs.estlett.0c00511
56 citations as recorded by crossref.
- Contrasting chemical environments in summertime for atmospheric ozone across major Chinese industrial regions: the effectiveness of emission control strategies Z. Liu et al. 10.5194/acp-21-10689-2021
- Future Co‐Occurrences of Hot Days and Ozone‐Polluted Days Over China Under Scenarios of Shared Socioeconomic Pathways Predicted Through a Machine‐Learning Approach C. Gong et al. 10.1029/2022EF002671
- Effect of land surface parameters on meteorology and ozone air quality simulations in the Great Bay Area, China Q. Wang et al. 10.1016/j.atmosenv.2023.120146
- Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019 X. Meng et al. 10.1016/j.envpol.2022.118865
- Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China Y. Qu et al. 10.3390/rs14133051
- Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China L. Shi et al. 10.1016/j.atmosenv.2021.118685
- Diagnostic analysis of regional ozone pollution in Yangtze River Delta, China: A case study in summer 2020 L. Li et al. 10.1016/j.scitotenv.2021.151511
- The effects of the clean air actions on the Beautiful China initiative: The regional heterogeneity analysis H. Wang et al. 10.1016/j.eiar.2024.107598
- Unexpected Increases of Severe Haze Pollution During the Post COVID‐19 Period: Effects of Emissions, Meteorology, and Secondary Production W. Zhou et al. 10.1029/2021JD035710
- Assessing the Impacts of Climate Change on Meteorology and Air Stagnation in China Using a Dynamical Downscaling Method A. Hu et al. 10.3389/fenvs.2022.894887
- Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2.5 pollution Z. Zhang et al. 10.1016/j.envres.2022.113322
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Examining and predicting the influence of climatic and terrestrial factors on the seasonal distribution of ozone column depth over Tehran province using satellite observations F. Borhani et al. 10.1007/s11600-023-01179-1
- Evaluating the Spatiotemporal Ozone Characteristics with High-Resolution Predictions in Mainland China, 2013–2019 X. Meng et al. 10.2139/ssrn.3957870
- Integrated process analysis retrieval of changes in ground-level ozone and fine particulate matter during the COVID-19 outbreak in the coastal city of Kannur, India F. Ye et al. 10.1016/j.envpol.2022.119468
- The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate L. Jovanovic et al. 10.3390/atmos14010109
- Analysis of coordinated relationship between PM<sub>2.5</sub> and ozone and its affecting factors on different timescales J. Sun et al. 10.1360/TB-2021-0742
- Response Surface Model Based Emission Source Contribution and Meteorological Pattern Analysis in Ozone Polluted Days Y. Chen et al. 10.2139/ssrn.4045860
- Impact of Lockdowns on Air Pollution: Case Studies of Two Periods in 2022 in Guangzhou, China X. Zhao et al. 10.3390/atmos15091144
- Projection of the Near-Future PM2.5 in Northern Peninsular Southeast Asia under RCP8.5 T. Amnuaylojaroen et al. 10.3390/atmos13020305
- Detecting atmospheric oxidation in the PM2.5 and ozone multilayer complex network N. Ying et al. 10.1088/1748-9326/ad7869
- Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. 10.1016/j.atmosres.2022.106395
- Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network Q. Wang et al. 10.1016/j.jes.2023.09.001
- Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences R. Li et al. 10.5194/acp-21-8677-2021
- Relationship between summer time near-surface ozone concentration and planetary boundary layer height in Beijing C. Zhang et al. 10.1016/j.atmosres.2023.106892
- Sensitivity of PM2.5 and O3 pollution episodes to meteorological factors over the North China Plain S. Ma et al. 10.1016/j.scitotenv.2021.148474
- Analysis of spatiotemporal variation and relationship to land use – landscape pattern of PM2.5 and O3 in typical arid zone Z. Chen & Z. Zhang 10.1016/j.scs.2024.105689
- Urban–Rural Disparities in Air Quality Responses to Traffic Changes in a Megacity of China Revealed Using Machine Learning Y. Wen et al. 10.1021/acs.estlett.2c00246
- A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions X. Liu et al. 10.1016/j.apr.2023.101647
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China L. Zhang et al. 10.1016/j.scitotenv.2024.171295
- Spatiotemporal characteristics of PM2.5 and ozone concentrations in Chinese urban clusters C. Deng et al. 10.1016/j.chemosphere.2022.133813
- Revisiting the impact of temperature on ground-level ozone: A causal inference approach B. Chen et al. 10.1016/j.scitotenv.2024.176062
- Impact of Particulate Matter-Centric Clean Air Action Plans on Ozone Concentrations in India M. Gupta et al. 10.1021/acsearthspacechem.2c00397
- Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China K. Xiong et al. 10.1016/j.envpol.2022.120926
- Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning L. Wang et al. 10.1016/j.envpol.2022.120798
- Different contributions of meteorological conditions and emission reductions to the ozone pollution during Shanghai’s COVID-19 lockdowns in winter and spring X. Dou et al. 10.1016/j.apr.2024.102252
- Implications of 1.5 K climate warming on warm-season ozone exposure and atmospheric oxidation capacity in China Z. Shi et al. 10.1016/j.aosl.2024.100556
- Response surface model based emission source contribution and meteorological pattern analysis in ozone polluted days Y. Chen et al. 10.1016/j.envpol.2022.119459
- Correlation between surface PM2.5 and O3 in eastern China during 2015–2019: Spatiotemporal variations and meteorological impacts L. Wang et al. 10.1016/j.atmosenv.2022.119520
- Multi-scale analysis of the impacts of meteorology and emissions on PM2.5 and O3 trends at various regions in China from 2013 to 2020 3. Mechanism assessment of O3 trends by a model W. Pan et al. 10.1016/j.scitotenv.2022.159592
- Unique impacts of strong and westward-extended western Pacific subtropical high on ozone pollution over eastern China M. Li et al. 10.1016/j.envpol.2024.124515
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. 10.1016/j.scitotenv.2024.174365
- Large-scale synoptic drivers of co-occurring summertime ozone and PM<sub>2.5</sub> pollution in eastern China L. Zong et al. 10.5194/acp-21-9105-2021
- Insights from ozone and particulate matter pollution control in New York City applied to Beijing J. Zhang et al. 10.1038/s41612-022-00309-8
- Using the COVID-19 lockdown to identify atmospheric processes and meteorology influences on regional PM2.5 pollution episodes in the Beijing-Tianjin-Hebei, China I. Sulaymon et al. 10.1016/j.atmosres.2023.106940
- Vertical distribution and transport characteristics of ozone pollution based on lidar observation network and data assimilation over the Pearl River Delta, China Y. Pan et al. 10.1016/j.atmosres.2024.107643
- Contrasting Trends of Surface PM2.5, O3, and NO2 and Their Relationships with Meteorological Parameters in Typical Coastal and Inland Cities in the Yangtze River Delta M. Lv et al. 10.3390/ijerph182312471
- Influence of meteorological reanalysis field on air quality modeling in the Yangtze River Delta, China X. Wang et al. 10.1016/j.atmosenv.2023.120231
- Double high pollution events in the Yangtze River Delta from 2015 to 2019: Characteristics, trends, and meteorological situations Y. Qin et al. 10.1016/j.scitotenv.2021.148349
- Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model T. Amnuaylojaroen & I. Levy 10.1155/2022/3190484
- Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction H. Yao et al. 10.1016/j.heliyon.2023.e15799
- Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China—Implications for PM2.5 Remote Sensing L. Qi et al. 10.3390/rs14122762
- Seasonal and Diurnal Characteristics of the Vertical Profile of Aerosol Optical Properties in Urban Beijing, 2017–2021 X. Zhang et al. 10.3390/rs15020475
- Air Quality During COVID-19 Lockdown in the Yangtze River Delta and the Pearl River Delta: Two Different Responsive Mechanisms to Emission Reductions in China N. Wang et al. 10.1021/acs.est.0c08383
- Impacts of meteorology and precursor emission change on O3 variation in Tianjin, China from 2015 to 2021 J. Ding et al. 10.1016/j.jes.2022.03.010
Latest update: 04 Nov 2024
Short summary
Meteorological conditions play important roles in the formation of O3 and PM2.5 pollution in China. O3 is most sensitive to temperature and the sensitivity is dependent on the O3 chemistry formation or loss regime. PM2.5 is negatively sensitive to temperature, wind speed, and planetary boundary layer height and positively sensitive to humidity. The results imply that air quality in certain regions of China is sensitive to climate changes.
Meteorological conditions play important roles in the formation of O3 and PM2.5 pollution in...
Altmetrics
Final-revised paper
Preprint