Articles | Volume 20, issue 18
https://doi.org/10.5194/acp-20-10985-2020
© 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-20-10985-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2020
Research article |
| 24 Sep 2020
| 24 Sep 2020
Assessing contributions of natural surface and anthropogenic emissions to atmospheric mercury in a fast-developing region of eastern China from 2015 to 2018
Xiaofei Qin
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Leiming Zhang
Air Quality Research Division, Science and Technology Branch,
Environment and Climate Change Canada,
Toronto, M3H 5T4, Canada
Guochen Wang
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Xiaohao Wang
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
Qingyan Fu
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
State Ecologic Environmental Scientific Observation and Research
Station for Dianshan Lake,
Shanghai, 201713, China
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Hao Li
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Jia Chen
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Qianbiao Zhao
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
State Ecologic Environmental Scientific Observation and Research
Station for Dianshan Lake,
Shanghai, 201713, China
Yanfen Lin
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
State Ecologic Environmental Scientific Observation and Research
Station for Dianshan Lake,
Shanghai, 201713, China
Juntao Huo
Shanghai Environmental Monitoring Center, Shanghai, 200030, China
State Ecologic Environmental Scientific Observation and Research
Station for Dianshan Lake,
Shanghai, 201713, China
Fengwen Wang
State Key Laboratory of Coal Mine Disaster Dynamics and Control,
College of Environment and Ecology,
Chongqing University, Chongqing, 400030, China
Kan Huang
CORRESPONDING AUTHOR
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
Institute of Eco-Chongming (IEC), East China Normal University, Shanghai, 202162, China
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200433, China
Congrui Deng
CORRESPONDING AUTHOR
Center for Atmospheric Chemistry Study, Shanghai Key Laboratory of
Atmospheric Particle Pollution and Prevention (LAP3), Department of
Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
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Cited
8 citations as recorded by crossref.
- A 47.0‐kyr record of mercury deposition in lake sediments from Dahu swamp in the East Nanling Mountains, southern China: Implications for paleoclimatic and environmental changes T. Li et al. 10.1002/jqs.3669
- Changes in Atmospheric Gaseous Elemental Mercury Concentrations and Isotopic Compositions at Mt. Changbai During 2015–2021 and Mt. Ailao During 2017–2021 in China X. Wu et al. 10.1029/2022JD037749
- Combating air pollution significantly reduced air mercury concentrations in China X. Feng et al. 10.1093/nsr/nwae264
- Measurement report: Atmospheric mercury in a coastal city of Southeast China – inter-annual variations and influencing factors J. Shi et al. 10.5194/acp-22-11187-2022
- Declines of gaseous element mercury concentrations at an urban site in eastern China caused by reductions of anthropogenic emission P. Sun et al. 10.1016/j.atmosenv.2023.120199
- Characteristics of Gaseous Elemental Mercury in a Suburban Area of Shanghai, China X. Hao et al. 10.1007/s00128-024-03912-y
- Simulation of Spatiotemporal Trends of Gaseous Elemental Mercury in the Yangtze River Delta of Eastern China by an Artificial Neural Network X. Qin et al. 10.1021/acs.estlett.1c01025
- Enhanced natural releases of mercury in response to the reduction in anthropogenic emissions during the COVID-19 lockdown by explainable machine learning X. Qin et al. 10.5194/acp-22-15851-2022
8 citations as recorded by crossref.
- A 47.0‐kyr record of mercury deposition in lake sediments from Dahu swamp in the East Nanling Mountains, southern China: Implications for paleoclimatic and environmental changes T. Li et al. 10.1002/jqs.3669
- Changes in Atmospheric Gaseous Elemental Mercury Concentrations and Isotopic Compositions at Mt. Changbai During 2015–2021 and Mt. Ailao During 2017–2021 in China X. Wu et al. 10.1029/2022JD037749
- Combating air pollution significantly reduced air mercury concentrations in China X. Feng et al. 10.1093/nsr/nwae264
- Measurement report: Atmospheric mercury in a coastal city of Southeast China – inter-annual variations and influencing factors J. Shi et al. 10.5194/acp-22-11187-2022
- Declines of gaseous element mercury concentrations at an urban site in eastern China caused by reductions of anthropogenic emission P. Sun et al. 10.1016/j.atmosenv.2023.120199
- Characteristics of Gaseous Elemental Mercury in a Suburban Area of Shanghai, China X. Hao et al. 10.1007/s00128-024-03912-y
- Simulation of Spatiotemporal Trends of Gaseous Elemental Mercury in the Yangtze River Delta of Eastern China by an Artificial Neural Network X. Qin et al. 10.1021/acs.estlett.1c01025
- Enhanced natural releases of mercury in response to the reduction in anthropogenic emissions during the COVID-19 lockdown by explainable machine learning X. Qin et al. 10.5194/acp-22-15851-2022
Latest update: 23 Apr 2025
Short summary
The uncertainties in mercury emissions are much larger from natural sources than anthropogenic sources. A method was developed to quantify the contributions of natural surface emissions to ambient GEM based on PMF modeling. The annual GEM concentration in eastern China showed a decreasing trend from 2015 to 2018, while the relative contribution of natural surface emissions increased significantly from 41 % in 2015 to 57 % in 2018, gradually surpassing those from anthropogenic sources.
The uncertainties in mercury emissions are much larger from natural sources than anthropogenic...
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