Dynamic multimedia fate simulation of perfluorooctane sulfonate (PFOS) from 1981 to 2050 in the urbanizing Bohai Rim of China
Abstract
Perfluorooctane sulfonate (PFOS) and related substances are widely used in various industrial and commercial applications in China that ultimately discharge sufficient quantities of PFOS to the environment. It remains unclear how emissions of PFOS ultimately affect its concentrations as well as its fate in the environment. In this study, an improved Berkeley-Trent (BETR) multimedia model is developed to predict the PFOS levels with spatial and temporal distributions on unsteady state mode from 1981 to 2050, by taking the Bohai Rim of China as a case. The results showed that the modeled concentrations agreed well with the measured data. According to the model, PFOS concentrations in fresh water peaked in some months after the peak emission (2008 or 2009), whereas in urban soil the concentrations increased to peak slightly later (around 2014). Among the selected regions, Beijing and Tianjin were simulated with higher PFOS levels in the past and present because of their higher urbanization and industrialization since the 1980s, while in the future, Shandong and Liaoning are expected to have higher concentrations of PFOS than those in Beijing. The water system including coastal water, fresh water and sediment was the biggest sink for PFOS for coastal regions. Among the chemical inputs, direct primary emissions played a more important role, whereas for chemical removal processes, inter-regional advection and background outflow were the predominant pathways. The results would be useful to control the PFOS releases in China and will help the management agencies to implement the "Stockholm Convention" effectively.
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Temporal studies and model predictions suggest that sediments, soils and sludges are an important environmental sink for PFAS.
“Temporal studies and model predictions suggest that sediments, soils and sludges are an important environmental sink for PFAS [73].”
From Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment (2019) · cites this paper as [73]
Cites
Global Distribution of Perfluorooctane Sulfonate in Wildlife
Giesy, J. P., & Kannan, K. (2001) · Environmental Science & Technology · doi:10.1021/es001834k · Cited by 2,750 · see citing works
Multimedia Environmental Models: The Fugacity Approach
(2020) · Cited by 1,320 · see citing works
A first global production, emission, and environmental inventory for perfluorooctane sulfonate
Paul, A. G., Jones, K. C., & Sweetman, A. J. (2009) · Environmental Science & Technology · doi:10.1021/es802216n · Cited by 1,096 · see citing works
Investigation of a coupling model of coordination between urbanization and the environment
Li, Y., Li, Y., Li, Y., et al. (2012) · Journal of Environmental Management · doi:10.1016/j.jenvman.2011.12.025 · Cited by 876 · see citing works
Industrial source identification and emission estimation of perfluorooctane sulfonate in China
Xie, S., Wang, T., Liu, S., Jones, K. C., Sweetman, A. J., & Lü, Y. (2012) · Environment International · doi:10.1016/j.envint.2012.11.004 · Cited by 364 · see citing works
Self-citationYang, L., Zhu, L. Y., & Liu, Z. (2011) · Chemosphere · doi:10.1016/j.chemosphere.2011.02.075 · Cited by 230 · see citing works
Metal contamination in sediments of the western Bohai Bay and adjacent estuaries, China
Feng, H. D., Jiang, H., Gao, W., Weinstein, M. P., Zhang, Q., Zhang, W., Yu, L., Yuan, D., & Tao, J. (2010) · Journal of Environmental Management · doi:10.1016/j.jenvman.2010.11.020 · Cited by 220 · see citing works
Liu, Z., Lü, Y., Wang, T., Wang, P., Li, Q., Johnson, A. C., Suriyanarayanan, S., & Sweetman, A. J. (2016) · Environment International · doi:10.1016/j.envint.2016.02.020 · Cited by 189 · see citing works
Self-citationLiu, Z., Lü, Y., Shi, Y., Wang, P., Jones, K. C., Sweetman, A. J., Johnson, A. C., Zhang, M., Zhou, Y., Lu, X., et al. (2017) · Environment International · doi:10.1016/j.envint.2017.05.014 · Cited by 187 · see citing works
Self-citationWang, P., Lü, Y., Wang, T., Fu, Y., Zhu, Z., Liu, S., Xie, S., Xiao, Y., & Giesy, J. P. (2014) · Environmental Pollution · doi:10.1016/j.envpol.2014.03.030 · Cited by 180 · see citing works
Self-citationBETR North America: A regionally segmented multimedia contaminant fate model for North America
MacLeod, M., Woodfine, D. G., Mackay, D., McKone, T. E., Bennett, D. H., & Maddalena, R. L. (2001) · Environmental Science and Pollution Research · doi:10.1007/bf02987379 · Cited by 170 · see citing works
Wang, P., Lü, Y., Wang, T., Meng, J., Li, Q., Zhu, Z., Sun, Y., Wang, R., & Giesy, J. P. (2016) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2015.12.059 · Cited by 162 · see citing works
Self-citationPerfluorinated compounds in Haihe River and Dagu Drainage Canal in Tianjin, China
Li, F., Sun, H., Hao, Z., He, N., Zhao, L., Zhang, T., & Sun, T. (2011) · Chemosphere · doi:10.1016/j.chemosphere.2011.03.060 · Cited by 144 · see citing works
Ericson Jogsten, I., Nadal, M., van Bavel, B., Lindström, G., & Domingo, J. L. (2012) · Environment International · doi:10.1016/j.envint.2011.09.004 · Cited by 138 · see citing works
Perfluoroalkyl acids (PFAAs) in riverine and coastal sediments of Laizhou Bay, North China
Zhao, Z., Tang, J., Xie, Z., Chen, Y., Pan, X., Zhong, G., Sturm, R., Zhang, G., & Ebinghaus, R. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2012.12.095 · Cited by 106 · see citing works
Estimation of PFOS emission from domestic sources in the eastern coastal region of China
Xie, S., Lü, Y., Wang, T., Liu, S., Jones, K. C., & Sweetman, A. (2013) · Environment International · doi:10.1016/j.envint.2013.06.015 · Cited by 100 · see citing works
Self-citationPrevedouros, K., MacLeod, M., Jones, K. C., & Sweetman, A. J. (2003) · Environmental Pollution · doi:10.1016/j.envpol.2003.08.041 · Cited by 96 · see citing works
Su, H., Lü, Y., Wang, P., Shi, Y., Li, Q., Zhou, Y., & Johnson, A. C. (2016) · Environment International · doi:10.1016/j.envint.2016.07.002 · Cited by 87 · see citing works
Wang, P., Lu, Y.-L., Wang, T., Zhu, Z., Li, Q., Meng, J., Su, H.-Q., Johnson, A. C., & Sweetman, A. J. (2016) · Environmental Pollution · doi:10.1016/j.envpol.2016.08.079 · Cited by 86 · see citing works
Self-citationToose, L., Woodfine, D. G., MacLeod, M., et al. (2003) · Environmental Pollution · doi:10.1016/j.envpol.2003.08.037 · Cited by 81 · see citing works
Su, H., Shi, Y., Lü, Y., Wang, P., Zhang, M., Sweetman, A. J., Jones, K. C., & Johnson, A. C. (2017) · Environment International · doi:10.1016/j.envint.2017.01.016 · Cited by 77 · see citing works
Liu, S., Lu, Y., Xie, S., Wang, T., Jones, K. C., & Sweetman, A. J. (2015) · Environment International · doi:10.1016/j.envint.2015.08.007 · Cited by 68 · see citing works
Self-citationMeng, J., Wang, T., Wang, P., Zhang, Y., Li, Q., Lü, Y., & Giesy, J. P. (2015) · Environmental Pollution · doi:10.1016/j.envpol.2015.01.022 · Cited by 68 · see citing works
Self-citationZhu, Z., Wang, T., Wang, P., Lü, Y., & Giesy, J. P. (2014) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2013.12.042 · Cited by 67 · see citing works
Self-citationWang, P., Lü, Y., Wang, T., Zhu, Z., Li, Q., Zhang, Y., Fu, Y., Xiao, Y., & Giesy, J. P. (2015) · Environmental Science and Pollution Research · doi:10.1007/s11356-015-4090-x · Cited by 64 · see citing works
Self-citationMetals contamination along the watershed and estuarine areas of southern Bohai Sea, China
Xu, L., Wang, T., Ni, K., et al. (2013) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2013.06.010 · Cited by 60 · see citing works
Self-citationPrevedouros, K., Jones, K. C., & Sweetman, A. J. (2004) · Environmental Science & Technology · doi:10.1021/es049206g · Cited by 59 · see citing works
Using gridded multimedia model to simulate spatial fate of Benzo[α]pyrene on regional scale
Liu, S., Lü, Y., Wang, T., et al. (2013) · Environment International · doi:10.1016/j.envint.2013.10.015 · Cited by 53 · see citing works
Self-citationSpatial and vertical variations of perfluoroalkyl substances in sediments of the Haihe River, China
Zhao, X., Xia, X., Zhang, S., Wu, Q., & Wang, X. (2014) · Journal of Environmental Sciences · doi:10.1016/j.jes.2014.05.023 · Cited by 47 · see citing works
Song, S., Su, C., Lü, Y., et al. (2016) · Journal of Environmental Sciences · doi:10.1016/j.jes.2015.12.005 · Cited by 40 · see citing works
Self-citationSu, C., Song, S., Lü, Y., Liu, S., Giesy, J. P., Chen, D., Jenkins, A., Sweetman, A. J., & Baninla, Y. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.09.021 · Cited by 34 · see citing works
Self-citationZhang, Y., Li, Q., Lü, Y., et al. (2016) · Chemosphere · doi:10.1016/j.chemosphere.2016.01.051 · Cited by 33 · see citing works
A first European scale multimedia fate modelling of BDE-209 from 1970 to 2020
Earnshaw, M. R., Jones, K. C., & Sweetman, A. J. (2014) · Environment International · doi:10.1016/j.envint.2014.09.011 · Cited by 29 · see citing works
Zheng, W. (2011) · Geographical Research · Cited by 22 · see citing works
Gong, X., Liu, R., Li, B., Song, Y., & Liu, Y. (2016) · Environmental Earth Sciences · doi:10.1007/s12665-016-5345-7 · Cited by 10 · see citing works
Xi-qin, L. F. W. (2005) · Geographical Research · doi:10.11821/yj2005060002 · Cited by 5 · see citing works
Surface Air Temperature Changes of Different Land Cover Types in China during 1979 2007
Zhao, X. (2011) · Beijing Daxue Xuebao. Zirankexueban · Cited by 3 · see citing works
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Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment
Nakayama, S. F., Yoshikane, M., Onoda, Y., Nishihama, Y., Iwai-Shimada, M., Takagi, M., Kobayashi, Y., & Isobe, T. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.011 · Cited by 399 · see citing works
- Authors
- Su, C., Lu, Y., Wang, T., Lu, X., Song, S., Li, L., Khan, K., Wang, C., & Liang, R.
- Affiliations
- Chinese Academy of Sciences (CN)
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 235
- Pages
- 235-244
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2781977766
- Cited by
- 34
- References
- 37
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 5 · 2018: 1
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Environmental Pollution (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Key R & D Program of China (2017YFC0505704)
- National Natural Science Foundations of China (41420104004, 71761147001, 41501539, 41371488)
- Key Technology R&D Program of Tianjin (16YFXTSF00380)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
- Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
- Keywords
- PFOS, Bohai Rim, urbanization, freshwater pollution, urban soil contamination, sediment sinks, Stockholm Convention
- MeSH terms
- Beijing, China, Environmental Monitoring, Environmental Pollutants, Environmental Pollution, Fluorocarbons, Fresh Water, Industry, Models, Chemical, Soil, Urbanization, Water Pollutants, Chemical, Alkanesulfonic Acids, Multimedia
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