Articles | Volume 15, issue 11
https://doi.org/10.5194/acp-15-6521-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-15-6521-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regional differences in Chinese SO2 emission control efficiency and policy implications
Q. Q. Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
School of Environment, Tsinghua University, Beijing 100084, China
Y. Wang
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
Department of Marine Sciences, Texas A&M University at Galveston, Galveston, TX 77553, USA
Department of Atmospheric Sciences, Texas A&M University, College Station, TX 77843, USA
Q. Ma
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
School of Environment, Tsinghua University, Beijing 100084, China
Y. Yao
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
Y. Xie
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
K. He
School of Environment, Tsinghua University, Beijing 100084, China
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29 citations as recorded by crossref.
- Modular manganese/diatomite-Santa Barbara Amorphous-15 sorbent for moderate-temperature flue gas desulfurization Y. Xuan et al. 10.1016/j.cej.2020.124984
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- Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. 10.1016/j.scitotenv.2020.142238
- Assessment of regional air quality by a concentration-dependent Pollution Permeation Index C. Liang et al. 10.1038/srep34891
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism T. Wang et al. 10.5194/acp-18-18063-2018
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- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
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- Impacts of coal burning on ambient PM<sub>2.5</sub> pollution in China Q. Ma et al. 10.5194/acp-17-4477-2017
- Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models Y. Chen et al. 10.1016/j.chemosphere.2022.134843
- Changes in PM2.5 sensitivity to NO x and NH3 emissions due to a large decrease in SO2 emissions from 2013 to 2018 G. XU et al. 10.1080/16742834.2020.1738009
- Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters O. Bayraktar & A. Mutlu 10.1007/s11869-024-01573-8
- Does export product diversification reduce sulfur dioxide emissions in China? A regional analysis S. Dou et al. 10.1007/s13762-022-04353-y
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- Assessing the Iterative Finite Difference Mass Balance and 4D‐Var Methods to Derive Ammonia Emissions Over North America Using Synthetic Observations C. Li et al. 10.1029/2018JD030183
- Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. 10.1016/j.atmosres.2018.05.008
- 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
- Effects of meteorological conditions on sulfur dioxide air pollution in the North China plain during winters of 2006–2015 C. Calkins et al. 10.1016/j.atmosenv.2016.10.005
- Chinese province-scale source apportionments for sulfate aerosol in 2005 evaluated by the tagged tracer method S. Itahashi et al. 10.1016/j.envpol.2016.10.098
- Contribution of demand shifts to industrial SO 2 emissions in a transition economy: Evidence from China J. Jiao et al. 10.1016/j.jclepro.2017.07.060
- Identifying windows of susceptibility for maternal exposure to ambient air pollution and preterm birth Q. Wang et al. 10.1016/j.envint.2018.09.021
- Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases H. Karimian et al. 10.1016/j.apr.2018.06.005
- Behavior of Sulfur Oxides in Nonferrous Metal Smelters and Implications on Future Control and Emission Estimation Q. Wu et al. 10.1021/acs.est.9b01600
- Potential Uses of Coal Methane in China and Associated Benefits for Air Quality, Health, and Climate M. Zhang et al. 10.1021/acs.est.0c01207
- The composition, seasonal variation, and potential sources of the atmospheric wet sulfur (S) and nitrogen (N) deposition in the southwest of China L. Liu et al. 10.1007/s11356-015-5844-1
- Bulk sulfur (S) deposition in China L. Liu et al. 10.1016/j.atmosenv.2016.04.003
27 citations as recorded by crossref.
- Modular manganese/diatomite-Santa Barbara Amorphous-15 sorbent for moderate-temperature flue gas desulfurization Y. Xuan et al. 10.1016/j.cej.2020.124984
- Effectiveness of SO2 emission control policy on power plants in the Yangtze River Delta, China—post-assessment of the 11th Five-Year Plan J. Tan et al. 10.1007/s11356-017-8412-z
- Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. 10.1016/j.scitotenv.2020.142238
- Assessment of regional air quality by a concentration-dependent Pollution Permeation Index C. Liang et al. 10.1038/srep34891
- Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
- Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism T. Wang et al. 10.5194/acp-18-18063-2018
- The origin and migration of the dissolved sulfate from precipitation in Seoul, Korea Y. Kim et al. 10.1016/j.envpol.2017.12.112
- Winter haze over North China Plain from 2009 to 2016: Influence of emission and meteorology Q. Zhang et al. 10.1016/j.envpol.2018.08.019
- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
- Significant decrease in SO2 emission and enhanced atmospheric oxidation trigger changes in sulfate formation pathways in China during 2008–2016 J. Cao et al. 10.1016/j.jclepro.2021.129396
- Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces Y. Qian et al. 10.1016/j.envpol.2018.11.043
- Impacts of coal burning on ambient PM<sub>2.5</sub> pollution in China Q. Ma et al. 10.5194/acp-17-4477-2017
- Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models Y. Chen et al. 10.1016/j.chemosphere.2022.134843
- Changes in PM2.5 sensitivity to NO x and NH3 emissions due to a large decrease in SO2 emissions from 2013 to 2018 G. XU et al. 10.1080/16742834.2020.1738009
- Analyses of industrial air pollution and long-term health risk using different dispersion models and WRF physics parameters O. Bayraktar & A. Mutlu 10.1007/s11869-024-01573-8
- Does export product diversification reduce sulfur dioxide emissions in China? A regional analysis S. Dou et al. 10.1007/s13762-022-04353-y
- Urbanisation and the geographic concentration of industrial SO2 emissions in China Z. He et al. 10.1177/0042098016669915
- Assessing the Iterative Finite Difference Mass Balance and 4D‐Var Methods to Derive Ammonia Emissions Over North America Using Synthetic Observations C. Li et al. 10.1029/2018JD030183
- Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. 10.1016/j.atmosres.2018.05.008
- 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
- Effects of meteorological conditions on sulfur dioxide air pollution in the North China plain during winters of 2006–2015 C. Calkins et al. 10.1016/j.atmosenv.2016.10.005
- Chinese province-scale source apportionments for sulfate aerosol in 2005 evaluated by the tagged tracer method S. Itahashi et al. 10.1016/j.envpol.2016.10.098
- Contribution of demand shifts to industrial SO 2 emissions in a transition economy: Evidence from China J. Jiao et al. 10.1016/j.jclepro.2017.07.060
- Identifying windows of susceptibility for maternal exposure to ambient air pollution and preterm birth Q. Wang et al. 10.1016/j.envint.2018.09.021
- Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases H. Karimian et al. 10.1016/j.apr.2018.06.005
- Behavior of Sulfur Oxides in Nonferrous Metal Smelters and Implications on Future Control and Emission Estimation Q. Wu et al. 10.1021/acs.est.9b01600
- Potential Uses of Coal Methane in China and Associated Benefits for Air Quality, Health, and Climate M. Zhang et al. 10.1021/acs.est.0c01207
2 citations as recorded by crossref.
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Latest update: 13 Dec 2024
Short summary
SO2 emission reduction over North China is most effective in reducing national mean surface sulfate concentrations and sulfur export fluxes (β = 0.76 and 0.95, respectively), while reduction over South China has the highest β in reducing population-weighted sulfate concentration (β = 0.98). We recommend that China needs to carefully design a regionally specific implementation plan of realizing its SO2 emissions reduction target to maximize the resulting air quality benefits.
SO2 emission reduction over North China is most effective in reducing national mean surface...
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