The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Riverine Microplastic Pollution in the Pearl River Delta, China: Are Modeled Estimates Accurate?
Abstract
Plastic pollution has caused increasing global concern. Currently, model estimates of the riverine plastic inputs to the global oceans based on the concept of Mismanaged Plastic Waste (MPW) varied substantially, and no field measurements of riverine inputs were available. We conducted sampling at the eight major river outlets of the Pearl River Delta, South China with rapid economic growth and urbanization to provide field measured data for fine-tuning modeling results. Floating microplastics (MPs) were collected with a Manta net (mesh size of 0.33 mm) five times during 2018. Microplastic particles (0.3–5.0 mm) widely occurred in all sampling sites. The number and mass concentrations of MPs were in the ranges of 0.005–0.7 particles m –3 and 0.004–1.28 mg m –3 and were positively correlated with water discharges. The annual riverine input of MPs from the Pearl River Delta was estimated at 39 billion particles or 66 tons, which converts to 2400–3800 tons of plastic debris based on calculations described in Text S2. These values were substantially below the MPW-based model estimates (91,000–170,000 tons). The large difference between measured and modeling results may have derived from the large uncertainty in the MPW values assigned to the world’s countries/regions.
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Cites
Accumulation and fragmentation of plastic debris in global environments
Barnes, D. K. A., Galgani, F., Thompson, R. C., & Barlaz, M. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2008.0205 · Cited by 6,126
Microplastics as contaminants in the marine environment: A review
Cole, M., Lindeque, P., Halsband, C., & Galloway, T. S. (2011) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2011.09.025 · Cited by 6,023
River plastic emissions to the world’s oceans
Lebreton, L. C. M., van der Zwet, J., Damsteeg, J.-W., Slat, B., Andrady, A., & Reisser, J. (2017) · Nature Communications · doi:10.1038/ncomms15611 · Cited by 4,011
Plastic debris in the open ocean
Cózar, A., Echevarría, F., González-Gordillo, J. I., Irigoien, X., Úbeda, B., Hernández-León, S., Palma, Á. T., Navarro, S., García-de-Lomas, J., Ruiz, A., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314705111 · Cited by 3,133
What a Waste : A Global Review of Solid Waste Management
Hoornweg, D., & Bhada-Tata, P. (2012) · doi:10.1596/17388 · Cited by 3,129
Microplastic contamination of river beds significantly reduced by catchment-wide flooding
Hurley, R., Woodward, J., & Rothwell, J. J. (2018) · Nature Geoscience · doi:10.1038/s41561-018-0080-1 · Cited by 1,003
Plastic Debris in 29 Great Lakes Tributaries: Relations to Watershed Attributes and Hydrology
Baldwin, A. K., Corsi, S. R., & Mason, S. A. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02917 · Cited by 739
Chua, E. M., Shimeta, J., Nugegoda, D., Morrison, P. D., & Clarke, B. O. (2014) · Environmental Science & Technology · doi:10.1021/es405717z · Cited by 494
Cited by
Veerasingam, S., Ranjani, M., Venkatachalapathy, R., Bagaev, A., Mukhanov, V., Litvinyuk, D., Mugilarasan, M., Gurumoorthi, K., Guganathan, L., Aboobacker, V. M., et al. (2021) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2020.1807450 · Cited by 561
Napper, I. E., Baroth, A., Barrett, A. C., Bhola, S., Chowdhury, G. W., Davies, B. F. R., Duncan, E. M., Kumar, S., Nelms, S. E., Hasan Niloy, M. N., et al. (2021) · Environmental Pollution · doi:10.1016/j.envpol.2020.116348 · Cited by 404
Global Riverine Plastic Outflows
Mai, L., Sun, X.-F., Xia, L.-L., Bao, L.-J., Liu, L.-Y., & Zeng, E. Y. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c02273 · Cited by 322
Self-citationWu, P., Zhang, H., Singh, N., Tang, Y., & Cai, Z. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.132351 · Cited by 45
Metadata
- Authors
- Mai, L., You, S.-N., He, H., Bao, L.-J., Liu, L.-Y., & Zeng, E. Y.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-09-18
- Volume
- 53
- Issue
- 20
- Pages
- 11810-11817
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2973518410
- Cited by
- 246
- References
- 8
- FWCI
- 7.87
- Type
- journal article
- Language
- en
- Open access
- closed
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