Articles | Volume 21, issue 19
https://doi.org/10.5194/acp-21-15135-2021
© 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-21-15135-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2021
Research article |
| 12 Oct 2021
| 12 Oct 2021
Nonlinear responses of particulate nitrate to NOx emission controls in the megalopolises of China
Mengmeng Li
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Zihan Zhang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Quan Yao
Statistical Bureau of Qingjiangpu District, Huaian 223001, China
Tijian Wang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Shu Li
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Bingliang Zhuang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Yong Han
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou 510000, China
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29 citations as recorded by crossref.
- Gas-particle partitioning process contributes more to nitrate dominated air pollution than oxidation process in northern China X. Tian et al. 10.1080/02786826.2023.2294944
- Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate B. Xu et al. 10.1016/j.ese.2023.100333
- High efficiency of nitric acid controls in alleviating particulate nitrate in livestock and urban areas in South Korea H. Kim et al. 10.1039/D2EA00051B
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China J. Sun et al. 10.5194/acp-22-12629-2022
- 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
- Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
- Characteristics of ambient air quality and its air quality index (AQI) model in Shanghai, China Z. Jiang et al. 10.1016/j.scitotenv.2023.165284
- 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
- Dramatic changes in aerosol composition during the 2016–2020 heating seasons in Beijing–Tianjin–Hebei region and its surrounding areas: The role of primary pollutants and secondary aerosol formation J. Wang et al. 10.1016/j.scitotenv.2022.157621
- Decade-long trends in chemical component properties of PM2.5 in Beijing, China (2011−2020) J. Wang et al. 10.1016/j.scitotenv.2022.154664
- Spatial and Temporal Variations in the Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in China X. Xie et al. 10.1016/j.eng.2022.03.013
- Modeling particulate nitrate in China: Current findings and future directions X. Xie et al. 10.1016/j.envint.2022.107369
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- 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
- Substantial short- and long-term health effect due to PM2.5 and the constituents even under future emission reductions in China S. Xiang et al. 10.1016/j.scitotenv.2023.162433
- Different Response Mechanisms of N‐Bearing Components to Emission Reduction Across China During COVID‐19 Lockdown Period R. Li et al. 10.1029/2023JD039496
- Non-linearity of secondary pollutant formation estimated from emissions data and measured precursor-secondary pollutant relationships R. Harrison et al. 10.1038/s41612-022-00297-9
- 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
- Trends of inorganic sulfur and nitrogen species at an urban site in western Canada (2004–2018) H. Wang & L. Zhang 10.1016/j.envpol.2023.122079
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- Age‐Resolved Source and Region Contributions to Fine Particulate Matter During an Extreme Haze Episode in China X. Xie et al. 10.1029/2021GL095388
- Application of Stable Isotope Techniques in Tracing the Sources of Atmospheric NOX and Nitrate S. Zhen et al. 10.3390/pr10122549
- Emissions and meteorological impacts on PM2.5 species concentrations in Southern California using generalized additive modeling Z. Gao et al. 10.1016/j.scitotenv.2023.164464
- Double-Edged Role of VOCs Reduction in Nitrate Formation: Insights from Observations during the China International Import Expo 2018 Y. Zhang et al. 10.1021/acs.est.3c04629
- Nonlinear effect of NO concentration decrease on secondary aerosol formation in the Beijing-Tianjin-Hebei region: Evidence from smog chamber experiments and field observations J. Li et al. 10.1016/j.scitotenv.2023.168333
- 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
- New insights into black carbon light absorption enhancement: A comprehensive analysis of two differential behaviors R. Fan et al. 10.1016/j.envpol.2024.124175
- Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. 10.1021/acs.est.1c08403
29 citations as recorded by crossref.
- Gas-particle partitioning process contributes more to nitrate dominated air pollution than oxidation process in northern China X. Tian et al. 10.1080/02786826.2023.2294944
- Knowledge-guided machine learning reveals pivotal drivers for gas-to-particle conversion of atmospheric nitrate B. Xu et al. 10.1016/j.ese.2023.100333
- High efficiency of nitric acid controls in alleviating particulate nitrate in livestock and urban areas in South Korea H. Kim et al. 10.1039/D2EA00051B
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China J. Sun et al. 10.5194/acp-22-12629-2022
- 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
- Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
- Characteristics of ambient air quality and its air quality index (AQI) model in Shanghai, China Z. Jiang et al. 10.1016/j.scitotenv.2023.165284
- 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
- Dramatic changes in aerosol composition during the 2016–2020 heating seasons in Beijing–Tianjin–Hebei region and its surrounding areas: The role of primary pollutants and secondary aerosol formation J. Wang et al. 10.1016/j.scitotenv.2022.157621
- Decade-long trends in chemical component properties of PM2.5 in Beijing, China (2011−2020) J. Wang et al. 10.1016/j.scitotenv.2022.154664
- Spatial and Temporal Variations in the Atmospheric Age Distribution of Primary and Secondary Inorganic Aerosols in China X. Xie et al. 10.1016/j.eng.2022.03.013
- Modeling particulate nitrate in China: Current findings and future directions X. Xie et al. 10.1016/j.envint.2022.107369
- A systematic review of reactive nitrogen simulations with chemical transport models in China H. Zhang et al. 10.1016/j.atmosres.2024.107586
- 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
- Substantial short- and long-term health effect due to PM2.5 and the constituents even under future emission reductions in China S. Xiang et al. 10.1016/j.scitotenv.2023.162433
- Different Response Mechanisms of N‐Bearing Components to Emission Reduction Across China During COVID‐19 Lockdown Period R. Li et al. 10.1029/2023JD039496
- Non-linearity of secondary pollutant formation estimated from emissions data and measured precursor-secondary pollutant relationships R. Harrison et al. 10.1038/s41612-022-00297-9
- 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
- Trends of inorganic sulfur and nitrogen species at an urban site in western Canada (2004–2018) H. Wang & L. Zhang 10.1016/j.envpol.2023.122079
- Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
- Age‐Resolved Source and Region Contributions to Fine Particulate Matter During an Extreme Haze Episode in China X. Xie et al. 10.1029/2021GL095388
- Application of Stable Isotope Techniques in Tracing the Sources of Atmospheric NOX and Nitrate S. Zhen et al. 10.3390/pr10122549
- Emissions and meteorological impacts on PM2.5 species concentrations in Southern California using generalized additive modeling Z. Gao et al. 10.1016/j.scitotenv.2023.164464
- Double-Edged Role of VOCs Reduction in Nitrate Formation: Insights from Observations during the China International Import Expo 2018 Y. Zhang et al. 10.1021/acs.est.3c04629
- Nonlinear effect of NO concentration decrease on secondary aerosol formation in the Beijing-Tianjin-Hebei region: Evidence from smog chamber experiments and field observations J. Li et al. 10.1016/j.scitotenv.2023.168333
- 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
- New insights into black carbon light absorption enhancement: A comprehensive analysis of two differential behaviors R. Fan et al. 10.1016/j.envpol.2024.124175
- Stringent Emission Controls Are Needed to Reach Clean Air Targets for Cities in China under a Warming Climate R. Wang et al. 10.1021/acs.est.1c08403
Latest update: 23 Nov 2024
Short summary
We establish the nonlinear responses between nitrate and NOx in China. Reduction of NOx results in linearly lower nitrate in summer–autumn whereas an increase of winter nitrate until an inflexion point at 40–50 % reduction due to the excess oxidants. NH3 and VOCs are effective in controlling nitrate pollution, whereas decreasing the SO2 and NOx emissions may have counterintuitive effects on nitrate aerosols. This paper helps understand the nonlinear aerosol and photochemistry feedback.
We establish the nonlinear responses between nitrate and NOx in China. Reduction of NOx results...
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