Articles | Volume 19, issue 22
https://doi.org/10.5194/acp-19-14311-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-14311-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Nov 2019
Research article |
| 27 Nov 2019
Sulfate formation during heavy winter haze events and the potential contribution from heterogeneous SO2 + NO2 reactions in the Yangtze River Delta region, China
Ling Huang
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Jingyu An
State Environmental Protection Key Laboratory of the Cause and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai, 200233, China
Bonyoung Koo
Bay Area Air Quality Management District, San Francisco, CA 94105, USA
Greg Yarwood
Ramboll, Novato, CA 95995, USA
Rusha Yan
State Environmental Protection Key Laboratory of the Cause and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai, 200233, China
Yangjun Wang
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
State Environmental Protection Key Laboratory of the Cause and
Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental
Sciences, Shanghai, 200233, China
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
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Cited
19 citations as recorded by crossref.
- Strategies towards PM2.5 attainment for non-compliant cities in China: A case study H. Ling et al. 10.1016/j.jenvman.2021.113529
- Improvement of inorganic aerosol component in PM2.5 by constraining aqueous-phase formation of sulfate in cloud with satellite retrievals: WRF-Chem simulations T. Sha et al. 10.1016/j.scitotenv.2021.150229
- Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
- Characteristics of air pollution episodes influenced by biomass burning pollution in Shanghai, China S. Tong et al. 10.1016/j.atmosenv.2020.117756
- Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
- Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO<sub>2</sub> in CESM2 W. Ge et al. 10.5194/acp-21-16093-2021
- Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter Q. Wu et al. 10.3390/atmos12050578
- PM2.5 and O3 relationships affected by the atmospheric oxidizing capacity in the Yangtze River Delta, China M. Qin et al. 10.1016/j.scitotenv.2021.152268
- Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM<sub>2.5</sub> and chemical species L. Huang et al. 10.5194/acp-21-2725-2021
- Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation L. Li et al. 10.1016/j.scitotenv.2020.139282
- Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts L. Huang et al. 10.1016/j.scitotenv.2021.147935
- Heterogeneous interactions between SO<sub>2</sub> and organic peroxides in submicron aerosol S. Wang et al. 10.5194/acp-21-6647-2021
- Aerosol water content enhancement leads to changes in the major formation mechanisms of nitrate and secondary organic aerosols in winter over the North China Plain C. Chen et al. 10.1016/j.envpol.2021.117625
- Air pollutant variations in Suzhou during the 2019 novel coronavirus (COVID-19) lockdown of 2020: High time-resolution measurements of aerosol chemical compositions and source apportionment H. Wang et al. 10.1016/j.envpol.2020.116298
- A Novel Hybrid Machine Learning Method (OR-ELM-AR) Used in Forecast of PM2.5 Concentrations and Its Forecast Performance Evaluation G. Lu et al. 10.3390/atmos12010078
- Ammonium nitrate promotes sulfate formation through uptake kinetic regime Y. Liu et al. 10.5194/acp-21-13269-2021
- Bias in ammonia emission inventory and implications on emission control of nitrogen oxides over North China Plain Q. Zhang et al. 10.1016/j.atmosenv.2019.116869
- Estimation of interannual trends of ammonia emissions from agriculture in Jiangsu Province from 2000 to 2017 J. HUANG et al. 10.1080/16742834.2020.1736499
- Efficient control of atmospheric sulfate production based on three formation regimes J. Xue et al. 10.1038/s41561-019-0485-5
16 citations as recorded by crossref.
- Strategies towards PM2.5 attainment for non-compliant cities in China: A case study H. Ling et al. 10.1016/j.jenvman.2021.113529
- Improvement of inorganic aerosol component in PM2.5 by constraining aqueous-phase formation of sulfate in cloud with satellite retrievals: WRF-Chem simulations T. Sha et al. 10.1016/j.scitotenv.2021.150229
- Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
- Characteristics of air pollution episodes influenced by biomass burning pollution in Shanghai, China S. Tong et al. 10.1016/j.atmosenv.2020.117756
- Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China Z. Shi et al. 10.5194/acp-20-13455-2020
- Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO<sub>2</sub> in CESM2 W. Ge et al. 10.5194/acp-21-16093-2021
- Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter Q. Wu et al. 10.3390/atmos12050578
- PM2.5 and O3 relationships affected by the atmospheric oxidizing capacity in the Yangtze River Delta, China M. Qin et al. 10.1016/j.scitotenv.2021.152268
- Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM<sub>2.5</sub> and chemical species L. Huang et al. 10.5194/acp-21-2725-2021
- Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation L. Li et al. 10.1016/j.scitotenv.2020.139282
- Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts L. Huang et al. 10.1016/j.scitotenv.2021.147935
- Heterogeneous interactions between SO<sub>2</sub> and organic peroxides in submicron aerosol S. Wang et al. 10.5194/acp-21-6647-2021
- Aerosol water content enhancement leads to changes in the major formation mechanisms of nitrate and secondary organic aerosols in winter over the North China Plain C. Chen et al. 10.1016/j.envpol.2021.117625
- Air pollutant variations in Suzhou during the 2019 novel coronavirus (COVID-19) lockdown of 2020: High time-resolution measurements of aerosol chemical compositions and source apportionment H. Wang et al. 10.1016/j.envpol.2020.116298
- A Novel Hybrid Machine Learning Method (OR-ELM-AR) Used in Forecast of PM2.5 Concentrations and Its Forecast Performance Evaluation G. Lu et al. 10.3390/atmos12010078
- Ammonium nitrate promotes sulfate formation through uptake kinetic regime Y. Liu et al. 10.5194/acp-21-13269-2021
3 citations as recorded by crossref.
- Bias in ammonia emission inventory and implications on emission control of nitrogen oxides over North China Plain Q. Zhang et al. 10.1016/j.atmosenv.2019.116869
- Estimation of interannual trends of ammonia emissions from agriculture in Jiangsu Province from 2000 to 2017 J. HUANG et al. 10.1080/16742834.2020.1736499
- Efficient control of atmospheric sulfate production based on three formation regimes J. Xue et al. 10.1038/s41561-019-0485-5
Latest update: 07 Jun 2023
Short summary
Severe haze events characterized by extremely high concentrations of particulate matter occurred frequently in the Yangtze River Delta (YRD) region, China. Rapid sulfate production during these severe haze episodes was observed via atmospheric measurements but air quality models tend to underestimated sulfate. Our study suggests that the SO2+NO2 heterogeneous reactions could be potentially important for sulfate formation in the YRD region and ammonia emissions need to be carefully estimated.
Severe haze events characterized by extremely high concentrations of particulate matter occurred...
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