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Cited by 544

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Microplastics in surface waters of Dongting Lake and Hong Lake, China

Wang, Wenfeng, Yuan, Wenke, Chen, Yuling, Wang, Jun·2018·Science of The Total Environment

Abstract

Microplastics pollution is an environmental issue of increasing concern. Much work has been done on the microplastics pollution in the marine environments. Although freshwaters are potential sources and transport pathways of plastic debris to the oceans, there is a lack of knowledge regarding the presence of microplastics in freshwater systems, especially in China, the world's largest producer of plastics. This study investigated the occurrence and properties of microplastics in surface waters of two important lakes in the middle reaches of the Yangtze River. The concentration ranges of microplastics in Dongting Lake and Hong Lake were 900-2800 and 1250-4650n/m3, respectively. Fiber was the dominant shape. Colored items occupied the majority. Particles with a size of <330μm comprised >20% of total microplastics collected in both lakes. Most of the selected particles were identified as plastics, with polyethylene (PE) and polypropylene (PP) being the major components. This study can provide valuable reference for better understanding the microplastics pollution in inland freshwater ecosystems.

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Metadata

Authors
Wang, W., Yuan, W., Chen, Y., & Wang, J.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2018-08
Volume
633
Pages
539-545
ISSN
0048-9697 (ISSN-L)
OpenAlex
W2795287700
Cited by
544
References
50
FWCI
14.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Microplastics in surface waters of Dongting Lake and Hong Lake, China. https://app.cochat.ai/papers/10.1016/j.scitotenv.2018.03.211
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Wang, W., Yuan, W., Chen, Y., & Wang, J. (2018). Microplastics in surface waters of Dongting Lake and Hong Lake, China. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2018.03.211

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.