Articles | Volume 25, issue 20
https://doi.org/10.5194/acp-25-13815-2025
© Author(s) 2025. 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-25-13815-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantification of anthropogenic and marine sources to atmospheric mercury over the marginal seas of China and impact on the sea–air exchange of mercury
Xiaofei Qin
School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China
Hao Li
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Jia Chen
Shanghai Environment Monitoring Center, Shanghai, China
Junjie Wei
Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, Zhejiang, China
Environmental Science Research & Design Institute of Zhejiang Province, Hangzhou, Zhejiang, China
Hao Ding
Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, Zhejiang, China
Environmental Science Research & Design Institute of Zhejiang Province, Hangzhou, Zhejiang, China
Xiaohao Wang
Shanghai Environment Monitoring Center, Shanghai, China
Guochen Wang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Chengfeng Liu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Da Lu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Shengqian Zhou
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Haowen Li
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Yucheng Zhu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Ziwei Liu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Qingyan Fu
Shanghai Academy of Environmental Sciences, Shanghai, China
Juntao Huo
Shanghai Environment Monitoring Center, Shanghai, China
Yanfen Lin
Shanghai Environment Monitoring Center, Shanghai, China
Congrui Deng
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China
Kan Huang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science and Engineering, Fudan University, Shanghai, China
Institute of Eco-Chongming, Shanghai, China
IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
Observation and Research Station of Huaniaoshan East China Sea Ocean-Atmosphere Integrated Ecosystem, Ministry of Natural Resources, Shanghai, China
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Kun Zhang, Ling Huang, Qing Li, Juntao Huo, Yusen Duan, Yuhang Wang, Elly Yaluk, Yangjun Wang, Qingyan Fu, and Li Li
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Recently, high O3 concentrations were frequently observed in rural areas of the Yangtze River Delta (YRD) region under stagnant conditions. Using an online measurement and observation-based model, we investigated the budget of ROx radicals and the influence of isoprene chemistry on O3 formation. Our results underline that isoprene chemistry in the rural atmosphere becomes important with the participation of anthropogenic NOx.
Cited articles
Amyot, M., Mierle, G., Lean, D. R. S., and McQueen, D. J.: SUNLIGHT-INDUCED FORMATION OF DISSOLVED GASEOUS MERCURY IN LAKE WATERS, Environmental science & technology, 28, 2366–2371, https://doi.org/10.1021/es00062a022, 1994.
Andersson, M. E., Gårdfeldt, K., Wängberg, I., and Strömberg, D.: Determination of Henry's law constant for elemental mercury, Chemosphere, 73, 587–592, https://doi.org/10.1016/j.chemosphere.2008.05.067, 2008a.
Andersson, M. E., Sommar, J., Gårdfeldt, K., and Lindqvist, O.: Enhanced concentrations of dissolved gaseous mercury in the surface waters of the Arctic Ocean, Mar. Chem., 110, 190–194, https://doi.org/10.1016/j.marchem.2008.04.002, 2008b.
Andersson, M. E., Sommar, J., Gårdfeldt, K., and Jutterström, S.: Air–sea exchange of volatile mercury in the North Atlantic Ocean, Mar. Chem., 125, 1–7, https://doi.org/10.1016/j.marchem.2011.01.005, 2011.
Bencardino, M., D'Amore, F., Angot, H., Angiuli, L., Bertrand, Y., Cairns, W., Diéguez, M. C., Dommergue, A., Ebinghaus, R., Esposito, G., Komínková, K., Labuschagne, C., Mannarino, V., Martin, L., Martino, M., Neves, L. M., Mashyanov, N., Magand, O., Nelson, P., Norstrom, C., Read, K., Sholupov, S., Skov, H., Tassone, A., Vítková, G., Cinnirella, S., Sprovieri, F., and Pirrone, N.: Patterns and trends of atmospheric mercury in the GMOS network: Insights based on a decade of measurements, Environmental Pollution, 363, 125104, https://doi.org/10.1016/j.envpol.2024.125104, 2024.
Briggs, N. L. and Long, C. M.: Critical review of black carbon and elemental carbon source apportionment in Europe and the United States, Atmospheric Environment, 144, 409–427, https://doi.org/10.1016/j.atmosenv.2016.09.002, 2016.
Chen, L., Wang, H. H., Liu, J. F., Tong, Y. D., Ou, L. B., Zhang, W., Hu, D., Chen, C., and Wang, X. J.: Intercontinental transport and deposition patterns of atmospheric mercury from anthropogenic emissions, Atmos. Chem. Phys., 14, 10163–10176, https://doi.org/10.5194/acp-14-10163-2014, 2014.
Chen, Y.-S., Tseng, C.-M., and Reinfelder, J. R.: Spatiotemporal Variations in Dissolved Elemental Mercury in the River-Dominated and Monsoon-Influenced East China Sea: Drivers, Budgets, and Implications, Environmental science & technology, 54, 3988–3995, https://doi.org/10.1021/acs.est.9b06092, 2020.
Ci, Z., Wang, C., Wang, Z., and Zhang, X.: Elemental mercury (Hg(0)) in air and surface waters of the Yellow Sea during late spring and late fall 2012: Concentration, spatial-temporal distribution and air/sea flux, Chemosphere, 119, 199–208, https://doi.org/10.1016/j.chemosphere.2014.05.064, 2015.
Ci, Z. J., Zhang, X. S., Wang, Z. W., Niu, Z. C., Diao, X. Y., and Wang, S. W.: Distribution and air-sea exchange of mercury (Hg) in the Yellow Sea, Atmos. Chem. Phys., 11, 2881–2892, https://doi.org/10.5194/acp-11-2881-2011, 2011.
Ci, Z. J., Zhang, X. S., Yin, Y. G., Chen, J. S., and Wang, S. W.: Mercury Redox Chemistry in Waters of the Eastern Asian Seas: From Polluted Coast to Clean Open Ocean, Environmental science & technology, 50, 2371–2380, https://doi.org/10.1021/acs.est.5b05372, 2016.
Costa, M. and Liss, P. S.: Photoreduction of mercury in sea water and its possible implications for Hg0 air–sea fluxes, Mar. Chem., 68, 87–95, https://doi.org/10.1016/S0304-4203(99)00067-5, 1999.
Feinberg, A., Selin, N. E., Braban, C. F., Chang, K.-L., Custodio, D., Jaffe, D. A., Kyllonen, K., Landis, M. S., Leeson, S. R., Luke, W., Molepo, K. M., Murovec, M., Nerentorp Mastromonaco, M. G., Aspmo Pfaffhuber, K., Rudiger, J., Sheu, G.-R., and St Louis, V. L.: Unexpected anthropogenic emission decreases explain recent atmospheric mercury concentration declines, Proceedings of the National Academy of Sciences of the United States of America, 121, e2401950121, https://doi.org/10.1073/pnas.2401950121, 2024.
Feng, X., Fu, X., Zhang, H., Wang, X., Jia, L., Zhang, L., Lin, C.-J., Huang, J.-H., Liu, K., and Wang, S.: Combating air pollution significantly reduced air mercury concentrations in China, National Science Review, 11, https://doi.org/10.1093/nsr/nwae264, 2024.
Feng, X., Li, P., Fu, X., Wang, X., Zhang, H., and Lin, C.-J.: Mercury pollution in China: implications on the implementation of the Minamata Convention, Environmental Science: Processes & Impacts, 24, 634–648, https://doi.org/10.1039/d2em00039c, 2022.
Fitzgerald, W. F., Lamborg, C. H., and Hammerschmidt, C. R.: Marine Biogeochemical Cycling of Mercury, Chemical Reviews, 107, 641–662, https://doi.org/10.1021/cr050353m, 2007.
Fu, X., Yang, X., Tan, Q., Ming, L., Lin, T., Lin, C.-J., Li, X., and Feng, X.: Isotopic Composition of Gaseous Elemental Mercury in the Marine Boundary Layer of East China Sea, Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2018jd028671, 2018.
Fu, X., Liu, C., Zhang, H., Xu, Y., Zhang, H., Li, J., Lyu, X., Zhang, G., Guo, H., Wang, X., Zhang, L., and Feng, X.: Isotopic compositions of atmospheric total gaseous mercury in 10 Chinese cities and implications for land surface emissions, Atmos. Chem. Phys., 21, 6721–6734, https://doi.org/10.5194/acp-21-6721-2021, 2021.
Fu, X. W., Feng, X. B., Zhang, G., Xu, W. H., Li, X. D., Yao, H., Liang, P., Li, J., Sommar, J., Yin, R. S., and Liu, N.: Mercury in the marine boundary layer and seawater of the South China Sea: Concentrations, sea/air flux, and implication for land outflow, J. Geophys. Res.-Atmos., 115, 11, https://doi.org/10.1029/2009jd012958, 2010.
Fu, X. W., Feng, X. B., Yin, R. S., and Zhang, H.: Diurnal variations of total mercury, reactive mercury, and dissolved gaseous mercury concentrations and water/air mercury flux in warm and cold seasons from freshwaters of southwestern China, Environ. Toxicol. Chem., 32, 2256–2265, https://doi.org/10.1002/etc.2323, 2013.
Gardfeldt, K., Sommar, J., Ferrara, R., Ceccarini, C., Lanzillotta, E., Munthe, J., Wangberg, I., Lindqvist, O., Pirrone, N., Sprovieri, F., Pesenti, E., and Stromberg, D.: Evasion of mercury from coastal and open waters of the Atlantic Ocean and the Mediterranean Sea, Atmospheric Environment, 37, S73–S84, https://doi.org/10.1016/s1352-2310(03)00238-3, 2003.
Geng, G. N., Liu, Y. X., Liu, Y., Liu, S. G., Cheng, J., Yan, L., Wu, N. N., Hu, H. W., Tong, D., Zheng, B., Yin, Z. C., He, K. B., and Zhang, Q.: Efficacy of China's clean air actions to tackle PM2.5 pollution between 2013 and 2020, Nat. Geosci., 17, https://doi.org/10.1038/s41561-024-01540-z, 2024.
Horowitz, H. M., Jacob, D. J., Zhang, Y., Dibble, T. S., Slemr, F., Amos, H. M., Schmidt, J. A., Corbitt, E. S., Marais, E. A., and Sunderland, E. M.: A new mechanism for atmospheric mercury redox chemistry: implications for the global mercury budget, Atmos. Chem. Phys., 17, 6353–6371, https://doi.org/10.5194/acp-17-6353-2017, 2017.
Huang, K.: Mercury data in China's marginal seas, Zenodo [data set], https://doi.org/10.5281/zenodo.14847622, 2025
Huang, S. and Zhang, Y.: Interannual Variability of Air-Sea Exchange of Mercury in the Global Ocean: The “Seesaw Effect” in the Equatorial Pacific and Contributions to the Atmosphere, Environmental science & technology, 55, 7145–7156, https://doi.org/10.1021/acs.est.1c00691, 2021.
Kalinchuk, V. V., Mishukov, V. F., and Astakhov, A. S.: Arctic source for elevated atmospheric mercury (Hg-0) in the western Bering Sea in the summer of 2013, Journal of Environmental Sciences, 68, 114–121, https://doi.org/10.1016/j.jes.2016.12.022, 2018.
Kuss, J., Holzmann, J., and Ludwig, R.: An Elemental Mercury Diffusion Coefficient for Natural Waters Determined by Molecular Dynamics Simulation, Environmental science & technology, 43, 3183–3186, https://doi.org/10.1021/es8034889, 2009.
Kuss, J., Krüger, S., Ruickoldt, J., and Wlost, K.-P.: High-resolution measurements of elemental mercury in surface water for an improved quantitative understanding of the Baltic Sea as a source of atmospheric mercury, Atmos. Chem. Phys., 18, 4361–4376, https://doi.org/10.5194/acp-18-4361-2018, 2018.
Lamborg, C. H., Hammerschmidt, C. R., Bowman, K. L., Swarr, G. J., Munson, K. M., Ohnemus, D. C., Lam, P. J., Heimburger, L. E., Rijkenberg, M. J., and Saito, M. A.: A global ocean inventory of anthropogenic mercury based on water column measurements, Nature, 512, 65–68, https://doi.org/10.1038/nature13563, 2014.
Landis, M. S. and Keeler, G. J.: Atmospheric mercury deposition to Lake Michigan during the Lake Michigan Mass Balance Study, Environmental science & technology, 36, 4518–4524, https://doi.org/10.1021/es011217b, 2002.
Laurier, F. and Mason, R.: Mercury concentration and speciation in the coastal and open ocean boundary layer, J. Geophys. Res.-Atmos., 112, https://doi.org/10.1029/2006jd007320, 2007.
Lavoie, R. A., Bouffard, A., Maranger, R., and Amyot, M.: Mercury transport and human exposure from global marine fisheries, Scientific reports, 8, https://doi.org/10.1038/s41598-018-24938-3, 2018.
Li, H., Huang, K., Fu, Q., Lin, Y., Chen, J., Deng, C., Tian, X., Tang, Q., Song, Q., and Wei, Z.: Airborne black carbon variations during the COVID-19 lockdown in the Yangtze River Delta megacities suggest actions to curb global warming, Environ. Chem. Lett., 1–10, https://doi.org/10.1007/s10311-021-01327-3, 2021.
Li, H., Qin, X. F., Chen, J., Wang, G. C., Liu, C. F., Lu, D., Zheng, H. T., Song, X. Q., Gao, Q. Q., Xu, J., Zhu, Y. C., Liu, J. G., Wang, X. F., Deng, C. R., and Huang, K.: Continuous Measurement and Molecular Compositions of Atmospheric Water-Soluble Brown Carbon in the Nearshore Marine Boundary Layer of Northern China: Secondary Formation and Influencing Factors, J. Geophys. Res.-Atmos., 128, https://doi.org/10.1029/2023jd038565, 2023.
Lindberg, S. E., Hanson, P. J., Meyers, T. P., and Kim, K. H.: Air/surface exchange of mercury vapor over forests – The need for a reassessment of continental biogenic emissions, Atmospheric Environment, 32, 895–908, https://doi.org/10.1016/s1352-2310(97)00173-8, 1998.
Liu, K., Wu, Q., Wang, L., Wang, S., Liu, T., Ding, D., Tang, Y., Li, G., Tian, H., Duan, L., Wang, X., Fu, X., Feng, X., and Hao, J.: Measure-Specific Effectiveness of Air Pollution Control on China's Atmospheric Mercury Concentration and Deposition during 2013–2017, Environmental science & technology, 53, 8938–8946, https://doi.org/10.1021/acs.est.9b02428, 2019.
Liu, M., Chen, L., Wang, X., Zhang, W., Tong, Y., Ou, L., Xie, H., Shen, H., Ye, X., Deng, C., and Wang, H.: Mercury export from mainland China to adjacent seas and its influence on the marine mercury balance, Environ. Sci. Technol., 50, 6224, https://doi.org/10.1021/acs.est.5b04999, 2016.
Luo, W., Wang, T., Jiao, W., Hu, W., Naile, J. E., Khim, J. S., Giesy, J. P., and Lu, Y.: Mercury in coastal watersheds along the Chinese Northern Bohai and Yellow Seas, Journal of Hazardous Materials, 215–216, 199–207, https://doi.org/10.1016/j.jhazmat.2012.02.052, 2012.
Mao, H., Cheng, I., and Zhang, L.: Current understanding of the driving mechanisms for spatiotemporal variations of atmospheric speciated mercury: a review, Atmos. Chem. Phys., 16, 12897–12924, https://doi.org/10.5194/acp-16-12897-2016, 2016.
Mason, R. P.: Mercury emissions from natural processes and their importance in the global mercury cycle, in: Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements and Models, edited by: Mason, R. and Pirrone, N., Springer US, Boston, MA, 173–191, https://doi.org/10.1007/978-0-387-93958-2_7, 2009.
Mason, R. P., Lawson, N. M., and Sheu, G. R.: Mercury in the Atlantic Ocean: factors controlling air–sea exchange of mercury and its distribution in the upper waters, Deep Sea Research Part II: Topical Studies in Oceanography, 48, 2829–2853, https://doi.org/10.1016/S0967-0645(01)00020-0, 2001.
Mason, R. P., Choi, A. L., Fitzgerald, W. F., Hammerschmidt, C. R., Lamborg, C. H., Soerensen, A. L., and Sunderland, E. M.: Mercury biogeochemical cycling in the ocean and policy implications, Environmental Research, 119, 101–117, https://doi.org/10.1016/j.envres.2012.03.013, 2012.
Mason, R. P., Hammerschmidt, C. R., Lamborg, C. H., Bowman, K. L., Swarr, G. J., and Shelley, R. U.: The air-sea exchange of mercury in the low latitude Pacific and Atlantic Oceans, Deep-Sea Research Part I-Oceanographic Research Papers, 122, 17–28, https://doi.org/10.1016/j.dsr.2017.01.015, 2017.
Mastromonaco, M. G. N., Gardfeldt, K., Assmann, K. M., Langer, S., Delali, T., Shlyapnikov, Y. M., Zivkovic, I., and Horvat, M.: Speciation of mercury in the waters of the Weddell, Amundsen and Ross Seas (Southern Ocean), Mar. Chem., 193, 20–33, https://doi.org/10.1016/j.marchem.2017.03.001, 2017.
Nightingale, P. D., Malin, G., Law, C. S., Watson, A. J., Liss, P. S., Liddicoat, M. I., Boutin, J., and Upstill-Goddard, R. C.: In situ evaluation of air-sea gas exchange parameterizations using novel conservative and volatile tracers, Global Biogeochemical Cycles, 14, 373–387, https://doi.org/10.1029/1999GB900091, 2000.
O'Driscoll, N. J., Beauchamp, S., Siciliano, S. D., Rencz, A. N., and Lean, D. R. S.: Continuous Analysis of Dissolved Gaseous Mercury (DGM) and Mercury Flux in Two Freshwater Lakes in Kejimkujik Park, Nova Scotia: Evaluating Mercury Flux Models with Quantitative Data, Environmental science & technology, 37, 2226–2235, https://doi.org/10.1021/es025944y, 2003.
O'Driscoll, N. J., Siciliano, S. D., Lean, D. R. S., and Amyot, M.: Gross Photoreduction Kinetics of Mercury in Temperate Freshwater Lakes and Rivers: Application to a General Model of DGM Dynamics, Environmental science & technology, 40, 837–843, https://doi.org/10.1021/es051062y, 2006.
Obrist, D., Kirk, J. L., Zhang, L., Sunderland, E. M., Jiskra, M., and Selin, N. E.: A review of global environmental mercury processes in response to human and natural perturbations: Changes of emissions, climate, and land use, Ambio, 47, 116–140, https://doi.org/10.1007/s13280-017-1004-9, 2018.
Osterwalder, S., Nerentorp, M., Zhu, W., Jiskra, M., Nilsson, E., Nilsson, M. B., Rutgersson, A., Soerensen, A. L., Sommar, J., Wallin, M. B., Wängberg, I., and Bishop, K.: Critical Observations of Gaseous Elemental Mercury Air-Sea Exchange, Global Biogeochemical Cycles, 35, https://doi.org/10.1029/2020gb006742, 2021.
Outridge, P. M., Mason, R. P., Wang, F., Guerrero, S., and Heimbürger-Boavida, L. E.: Updated Global and Oceanic Mercury Budgets for the United Nations Global Mercury Assessment 2018, Environmental science & technology, 52, 11466–11477, https://doi.org/10.1021/acs.est.8b01246, 2018.
Paatero, P. and Tapper, U.: POSITIVE MATRIX FACTORIZATION – A NONNEGATIVE FACTOR MODEL WITH OPTIMAL UTILIZATION OF ERROR-ESTIMATES OF DATA VALUES, Environmetrics, 5, 111–126, https://doi.org/10.1002/env.3170050203, 1994.
Pacyna, E. G., Pacyna, J. M., Steenhuisen, F., and Wilson, S.: Global anthropogenic mercury emission inventory for 2000, Atmospheric Environment, 40, 4048–4063, https://doi.org/10.1016/j.atmosenv.2006.03.041, 2006.
Pacyna, E. G., Pacyna, J. M., Sundseth, K., Munthe, J., Kindbom, K., Wilson, S., Steenhuisen, F., and Maxson, P.: Global emission of mercury to the atmosphere from anthropogenic sources in 2005 and projections to 2020, Atmospheric Environment, 44, 2487–2499, https://doi.org/10.1016/j.atmosenv.2009.06.009, 2010.
Pacyna, J. M., Travnikov, O., De Simone, F., Hedgecock, I. M., Sundseth, K., Pacyna, E. G., Steenhuisen, F., Pirrone, N., Munthe, J., and Kindbom, K.: Current and future levels of mercury atmospheric pollution on a global scale, Atmos. Chem. Phys., 16, 12495–12511, https://doi.org/10.5194/acp-16-12495-2016, 2016.
Pirrone, N., Cinnirella, S., Feng, X., Finkelman, R. B., Friedli, H. R., Leaner, J., Mason, R., Mukherjee, A. B., Stracher, G. B., Streets, D. G., and Telmer, K.: Global mercury emissions to the atmosphere from anthropogenic and natural sources, Atmos. Chem. Phys., 10, 5951–5964, https://doi.org/10.5194/acp-10-5951-2010, 2010.
Poissant, L., Amyot, M., Pilote, M., and Lean, D.: Mercury WaterAir Exchange over the Upper St. Lawrence River and Lake Ontario, Environmental science & technology, 34, 3069–3078, https://doi.org/10.1021/es990719a, 2000.
Qin, X., Wang, F., Deng, C., Wang, F., and Yu, G.: Seasonal variation of atmospheric particulate mercury over the East China Sea, an outflow region of anthropogenic pollutants to the open Pacific Ocean, Atmos. Pollut. Res., 7, 876–883, https://doi.org/10.1016/j.apr.2016.05.004, 2016.
Qin, X., Wang, X., Shi, Y., Yu, G., Zhao, N., Lin, Y., Fu, Q., Wang, D., Xie, Z., Deng, C., and Huang, K.: Characteristics of atmospheric mercury in a suburban area of east China: sources, formation mechanisms, and regional transport, Atmos. Chem. Phys., 19, 5923–5940, https://doi.org/10.5194/acp-19-5923-2019, 2019.
Qin, X., Zhang, L., Wang, G., Wang, X., Fu, Q., Xu, J., Li, H., Chen, J., Zhao, Q., Lin, Y., Huo, J., Wang, F., Huang, K., and Deng, C.: Assessing contributions of natural surface and anthropogenic emissions to atmospheric mercury in a fast-developing region of eastern China from 2015 to 2018, Atmos. Chem. Phys., 20, 10985–10996, https://doi.org/10.5194/acp-20-10985-2020, 2020.
Selin, N. E.: Global Biogeochemical Cycling of Mercury: A Review, Annu. Rev. Environ. Resour., 34, 43–63, https://doi.org/10.1146/annurev.environ.051308.084314, 2009.
Soerensen, A. L., Skov, H., Jacob, D. J., Soerensen, B. T., and Johnson, M. S.: Global Concentrations of Gaseous Elemental Mercury and Reactive Gaseous Mercury in the Marine Boundary Layer, Environmental science & technology, 44, 7425–7430, https://doi.org/10.1021/es903839n, 2010a.
Soerensen, A. L., Sunderland, E. M., Holmes, C. D., Jacob, D. J., Yantosca, R. M., Skov, H., Christensen, J. H., Strode, S. A., and Mason, R. P.: An Improved Global Model for Air-Sea Exchange of Mercury: High Concentrations over the North Atlantic, Environmental science & technology, 44, 8574–8580, https://doi.org/10.1021/es102032g, 2010b.
Soerensen, A. L., Mason, R. P., Balcom, P. H., and Sunderland, E. M.: Drivers of Surface Ocean Mercury Concentrations and Air–Sea Exchange in the West Atlantic Ocean, Environmental science & technology, 47, 7757–7765, https://doi.org/10.1021/es401354q, 2013.
Soerensen, A. L., Mason, R. P., Balcom, P. H., Jacob, D. J., Zhang, Y. X., Kuss, J., and Sunderland, E. M.: Elemental Mercury Concentrations and Fluxes in the Tropical Atmosphere and Ocean, Environmental science & technology, 48, 11312–11319, https://doi.org/10.1021/es503109p, 2014.
Sprovieri, F., Pirrone, N., Bencardino, M., D'Amore, F., Carbone, F., Cinnirella, S., Mannarino, V., Landis, M., Ebinghaus, R., Weigelt, A., Brunke, E.-G., Labuschagne, C., Martin, L., Munthe, J., Wängberg, I., Artaxo, P., Morais, F., Barbosa, H. D. M. J., Brito, J., Cairns, W., Barbante, C., Diéguez, M. D. C., Garcia, P. E., Dommergue, A., Angot, H., Magand, O., Skov, H., Horvat, M., Kotnik, J., Read, K. A., Neves, L. M., Gawlik, B. M., Sena, F., Mashyanov, N., Obolkin, V., Wip, D., Feng, X. B., Zhang, H., Fu, X., Ramachandran, R., Cossa, D., Knoery, J., Marusczak, N., Nerentorp, M., and Norstrom, C.: Atmospheric mercury concentrations observed at ground-based monitoring sites globally distributed in the framework of the GMOS network, Atmos. Chem. Phys., 16, 11915–11935, https://doi.org/10.5194/acp-16-11915-2016, 2016.
Streets, D. G., Devane, M. K., Lu, Z. F., Bond, T. C., Sunderland, E. M., and Jacob, D. J.: All-Time Releases of Mercury to the Atmosphere from Human Activities, Environmental science & technology, 45, 10485–10491, https://doi.org/10.1021/es202765m, 2011.
Viana, M., Amato, F., Alastuey, A., Querol, X., Moreno, T., García Dos Santos, S., Herce, M. D., and Fernández-Patier, R.: Chemical Tracers of Particulate Emissions from Commercial Shipping, Environmental science & technology, 43, 7472–7477, https://doi.org/10.1021/es901558t, 2009.
Wang, C., Ci, Z., Wang, Z., and Zhang, X.: Air-sea exchange of gaseous mercury in the East China Sea, Environ. Pollut., 212, 535–543, https://doi.org/10.1016/j.envpol.2016.03.016, 2016a.
Wang, C., Wang, Z., Ci, Z., Zhang, X., and Tang, X.: Spatial-temporal distributions of gaseous element mercury and particulate mercury in the Asian marine boundary layer, Atmospheric Environment, 126, 107–116, https://doi.org/10.1016/j.atmosenv.2015.11.036, 2016b.
Wang, C., Wang, Z., Hui, F., and Zhang, X.: Speciated atmospheric mercury and sea–air exchange of gaseous mercury in the South China Sea, Atmos. Chem. Phys., 19, 10111–10127, https://doi.org/10.5194/acp-19-10111-2019, 2019a.
Wang, C., Wang, Z., Hui, F., and Zhang, X.: Speciated atmospheric mercury and sea–air exchange of gaseous mercury in the South China Sea, Atmos. Chem. Phys., 19, 10111–10127, https://doi.org/10.5194/acp-19-10111-2019, 2019b.
Wang, C., Wang, Z., and Zhang, X.: Characteristics of mercury speciation in seawater and emission flux of gaseous mercury in the Bohai Sea and Yellow Sea, Environ. Res., 182, 109092, https://doi.org/10.1016/j.envres.2019.109092, 2020.
Wang, G. C., Chen, J., Xu, J., Yun, L., Zhang, M. D., Li, H., Qin, X. F., Deng, C. R., Zheng, H. T., Gui, H. Q., Liu, J. G., and Huang, K.: Atmospheric Processing at the Sea-Land Interface Over the South China Sea: Secondary Aerosol Formation, Aerosol Acidity, and Role of Sea Salts, J. Geophys. Res.-Atmos., 127, https://doi.org/10.1029/2021jd036255, 2022.
Wang, X., Lin, C.-J., and Feng, X.: Sensitivity analysis of an updated bidirectional air–surface exchange model for elemental mercury vapor, Atmos. Chem. Phys., 14, 6273–6287, https://doi.org/10.5194/acp-14-6273-2014, 2014.
Wang, X., Lin, C.-J., Feng, X., Yuan, W., Fu, X., Zhang, H., Wu, Q., and Wang, S.: Assessment of Regional Mercury Deposition and Emission Outflow in Mainland China, 123, 9868–9890, https://doi.org/10.1029/2018JD028350, 2018.
Wangberg, I., Schmolke, S., Schager, P., Munthe, J., Ebinghaus, R., and Iverfeldt, A.: Estimates of air-sea exchange of mercury in the Baltic Sea, Atmospheric Environment, 35, 5477–5484, https://doi.org/10.1016/s1352-2310(01)00246-1, 2001.
Wanninkhof, R.: RELATIONSHIP BETWEEN WIND-SPEED AND GAS-EXCHANGE OVER THE OCEAN, Journal of Geophysical Research-Oceans, 97, 7373–7382, https://doi.org/10.1029/92jc00188, 1992.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the ocean revisited, Limnology and Oceanography-Methods, 12, 351–362, https://doi.org/10.4319/lom.2014.12.351, 2014.
Wanninkhof, R.: Relationship between wind speed and gas exchange over the ocean, Geophysical Research-Oceans, 97, 7373–7382, https://doi.org/10.1029/92JC00188, 1992.
Wu, X., Fu, X., Zhang, H., Tang, K., Wang, X., Zhang, H., Deng, Q., Zhang, L., Liu, K., Wu, Q., Wang, S., and Feng, X.: Changes in Atmospheric Gaseous Elemental Mercury Concentrations and Isotopic Compositions at Mt. Changbai During 2015–2021 and Mt. Ailao During 2017–2021 in China, Journal of Geophysical Research: Atmospheres, 128, https://doi.org/10.1029/2022jd037749, 2023.
Zhang, L., Wang, S., Wang, L., Wu, Y., Duan, L., Wu, Q., Wang, F., Yang, M., Yang, H., Hao, J., and Liu, X.: Updated emission inventories for speciated atmospheric mercury from anthropogenic sources in China, Environmental science & technology, 49, 3185–3194, https://doi.org/10.1021/es504840m, 2015.
Zhang, Y., Jacob, D. J., Horowitz, H. M., Chen, L., Amos, H. M., Krabbenhoft, D. P., Slemr, F., St Louis, V. L., and Sunderland, E. M.: Observed decrease in atmospheric mercury explained by global decline in anthropogenic emissions, Proc. Natl. Acad. Sci. USA, 113, 526–531, https://doi.org/10.1073/pnas.1516312113, 2016.
Zhu, W., Lin, C.-J., Wang, X., Sommar, J., Fu, X., and Feng, X.: Global observations and modeling of atmosphere–surface exchange of elemental mercury: a critical review, Atmos. Chem. Phys., 16, 4451–4480, https://doi.org/10.5194/acp-16-4451-2016, 2016.
Short summary
Mercury is a persistent toxic pollutant that has equally important anthropogenic and natural sources. This study developed a quantitative method for separating the anthropogenic and natural contributions of total gaseous mercury. The underlying impacts on the sea–air exchange fluxes of mercury are evaluated. The new method developed in this study can be reproduced in other regions, and the findings are innovative in the field of mercury sources and biogeochemical cycles.
Mercury is a persistent toxic pollutant that has equally important anthropogenic and natural...
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