Measurement report: Atmospheric mercury in a coastal city of Southeast China – inter-annual variations and influencing factors
Abstract - 3) and decreased by 2020 (3.93 ng m- 3), while GEM concentrations in July were highest in 2017 (2.65 ng m- 3) and lowest in 2020 (1.56 ng m- 3). The temporal variation of GEM was typically characterized by higher concentrations in winter than in summer and in nighttime than in daytime. Bivariate polar plots and the concentration-weighted trajectory (CWT) model were used to identify the source regions of GEM on a local and regional scale. The results indicate that the high GEM concentrations in January 2015 were likely due to a combination of high-level Hg emissions and adverse meteorological conditions. Generalized additive models (GAMs), which use a regression analysis method, were established and applied to investigate the influencing factors on the inter-annual variation of GEM. The factors anthropogenic emissions, meteorological conditions, and transportation explained 37.8 % ± 11.9 %, 31.4 % ± 9.0 %, and 30.8 % ± 9.9 % on average of the variation of GEM concentrations, respectively. There was a positive relationship of daily GEM concentrations with T and RH, mostly linking to natural surface emissions and Hg chemical transformations. The interpretation rate of anthropogenic emissions has significantly decreased since 2012, indicating the effectiveness of emission mitigation measures in reducing GEM concentrations in the study region.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Measurement report: Atmospheric mercury in a coastal city of Southeast China – inter-annual variations and influencing factors ; volume:22 ; number:17 ; year:2022 ; pages:11187-11202 ; extent:16
Atmospheric chemistry and physics ; 22, Heft 17 (2022), 11187-11202 (gesamt 16)
- Creator
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Shi, Jiayan
Chen, Yuping
Xu, Lingling
Hong, Youwei
Li, Mengren
Fan, Xiaolong
Yin, Liqian
Chen, Yanting
Yang, Chen
Chen, Gaojie
Liu, Taotao
Ji, Xiaoting
Chen, Jinsheng
- DOI
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10.5194/acp-22-11187-2022
- URN
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urn:nbn:de:101:1-2022090805250645762268
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:39 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Shi, Jiayan
- Chen, Yuping
- Xu, Lingling
- Hong, Youwei
- Li, Mengren
- Fan, Xiaolong
- Yin, Liqian
- Chen, Yanting
- Yang, Chen
- Chen, Gaojie
- Liu, Taotao
- Ji, Xiaoting
- Chen, Jinsheng
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