Articles | Volume 22, issue 18
https://doi.org/10.5194/acp-22-12629-2022
© Author(s) 2022. 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-22-12629-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Sep 2022
Research article |
| 28 Sep 2022
| 28 Sep 2022
Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China
Jinjin Sun
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
Key Laboratory of Meteorological Disaster, Ministry of Education,
Joint International Research Laboratory of Climate and Environment Change,
Collaborative Innovation Center on Forecast and Evaluation of Meteorological
Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China
Meteorological Administration, Nanjing University of Information Science and
Technology, Nanjing 210044, China
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
Xiaodong Xie
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
Wenxing Fu
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
Yang Qin
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
Key Laboratory of Meteorological Disaster, Ministry of Education,
Joint International Research Laboratory of Climate and Environment Change,
Collaborative Innovation Center on Forecast and Evaluation of Meteorological
Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China
Meteorological Administration, Nanjing University of Information Science and
Technology, Nanjing 210044, China
Li Sheng
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 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
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
Ishaq Dimeji Sulaymon
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
Lei Jiang
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
Xingna Yu
Key Laboratory of Meteorological Disaster, Ministry of Education,
Joint International Research Laboratory of Climate and Environment Change,
Collaborative Innovation Center on Forecast and Evaluation of Meteorological
Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China
Meteorological Administration, Nanjing University of Information Science and
Technology, Nanjing 210044, 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
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Cited
23 citations as recorded by crossref.
- A Satellite-Based Indicator for Diagnosing Particulate Nitrate Sensitivity to Precursor Emissions: Application to East Asia, Europe, and North America R. Dang et al. 10.1021/acs.est.4c08082
- Quantifying Contributions of Factors and Their Interactions to Aerosol Acidity with a Multiple-Linear-Regression-Based Framework: A Case Study in the Pearl River Delta, China H. Ling et al. 10.3390/atmos15020172
- Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
- Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China X. Li et al. 10.5194/acp-22-14799-2022
- 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
- WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
- Trends of source apportioned PM2.5 in Tianjin over 2013–2019: Impacts of Clean Air Actions Q. Dai et al. 10.1016/j.envpol.2023.121344
- Light absorption enhancement of black carbon and its impact factors during winter in a megacity of the Sichuan Basin, China Y. Lan et al. 10.1016/j.scitotenv.2024.170374
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- Physico-chemical Characteristics and Evolution of NR-PM1 in the Suburban Environment of Seoul J. Song et al. 10.1016/j.atmosenv.2024.120823
- Dominant physical and chemical processes impacting nitrate in Shandong of the North China Plain during winter haze events J. Yang et al. 10.1016/j.scitotenv.2023.169065
- The response of daytime nitrate formation to source emissions reduction based on chemical kinetic and thermodynamic model Y. Wei et al. 10.1016/j.scitotenv.2024.176002
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Nitrate pollution deterioration in winter driven by surface ozone increase Z. Zhang et al. 10.1038/s41612-024-00667-5
- Black Carbon Radiative Impacts on Surface Atmospheric Oxidants in China with WRF-Chem Simulation W. Dai et al. 10.3390/atmos15101255
- An Analysis of Primary Contributing Sources to the PM2.5 Composition in a Port City in Canada Influenced by Traffic, Marine, and Wildfire Emissions S. Delbari et al. 10.1016/j.atmosenv.2024.120712
- Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al. 10.5194/acp-23-10563-2023
- Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan M. Chuang et al. 10.1016/j.atmosres.2024.107666
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- 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
- Seasonal variation of water-soluble inorganic ions and carbonaceous components of PM2.5 and PM1 in industrial and residential areas of Suizhou, China M. Zhang et al. 10.1016/j.apr.2024.102276
23 citations as recorded by crossref.
- A Satellite-Based Indicator for Diagnosing Particulate Nitrate Sensitivity to Precursor Emissions: Application to East Asia, Europe, and North America R. Dang et al. 10.1021/acs.est.4c08082
- Quantifying Contributions of Factors and Their Interactions to Aerosol Acidity with a Multiple-Linear-Regression-Based Framework: A Case Study in the Pearl River Delta, China H. Ling et al. 10.3390/atmos15020172
- Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
- Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China X. Li et al. 10.5194/acp-22-14799-2022
- 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
- WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
- Trends of source apportioned PM2.5 in Tianjin over 2013–2019: Impacts of Clean Air Actions Q. Dai et al. 10.1016/j.envpol.2023.121344
- Light absorption enhancement of black carbon and its impact factors during winter in a megacity of the Sichuan Basin, China Y. Lan et al. 10.1016/j.scitotenv.2024.170374
- Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
- The effect of cross-regional transport on ozone and particulate matter pollution in China: A review of methodology and current knowledge K. Qu et al. 10.1016/j.scitotenv.2024.174196
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- Physico-chemical Characteristics and Evolution of NR-PM1 in the Suburban Environment of Seoul J. Song et al. 10.1016/j.atmosenv.2024.120823
- Dominant physical and chemical processes impacting nitrate in Shandong of the North China Plain during winter haze events J. Yang et al. 10.1016/j.scitotenv.2023.169065
- The response of daytime nitrate formation to source emissions reduction based on chemical kinetic and thermodynamic model Y. Wei et al. 10.1016/j.scitotenv.2024.176002
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Nitrate pollution deterioration in winter driven by surface ozone increase Z. Zhang et al. 10.1038/s41612-024-00667-5
- Black Carbon Radiative Impacts on Surface Atmospheric Oxidants in China with WRF-Chem Simulation W. Dai et al. 10.3390/atmos15101255
- An Analysis of Primary Contributing Sources to the PM2.5 Composition in a Port City in Canada Influenced by Traffic, Marine, and Wildfire Emissions S. Delbari et al. 10.1016/j.atmosenv.2024.120712
- Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al. 10.5194/acp-23-10563-2023
- Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan M. Chuang et al. 10.1016/j.atmosres.2024.107666
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- 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
- Seasonal variation of water-soluble inorganic ions and carbonaceous components of PM2.5 and PM1 in industrial and residential areas of Suizhou, China M. Zhang et al. 10.1016/j.apr.2024.102276
Latest update: 20 Nov 2024
Short summary
NO3- has become the dominant and the least reduced chemical component of fine particulate matter in China. NO3- formation is mostly in the NH3-rich regime in the Yangtze River Delta (YRD). OH + NO2 contributes 60 %–83 % of the TNO3 production rates, and the N2O5 heterogeneous pathway contributes 10 %–36 %. The N2O5 heterogeneous pathway becomes more important in cold seasons. Local emissions and regional transportation contribute 50 %–62 % and 38 %–50 % to YRD NO3- concentrations, respectively.
NO3- has become the dominant and the least reduced chemical component of fine particulate matter...
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