2024
DOI: 10.1016/j.scitotenv.2023.168538
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Extent and risks of microplastic pollution in the Yangtze River. State of the science

Siting Wang,
Svenja M. Mintenig,
Cheng Cheng
et al.
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Cited by 5 publications
(2 citation statements)
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“…While the initial intention of the power law was to reveal possible sources and sinks within measured size fractions, researchers have begun to apply the model to predict abundances of unmeasured size fractions. Such predictions have been used to rescale field and toxicology studies to the same microplastics size ranges for risk assessment and inter-ecosystem comparisons. ,, Kooi and Koelmans applied the power law model of analysis to 19 studies that varied in sampling locations and determined an average exponent value of 1.6 while a larger study that included marine and freshwater surface waters and sediments found that the exponent value for these combined samples was 2.68 . The variation in the exponential values in these different studies as a function of the number of samples included suggests that the assumptions made during fitting data may influence the model and, thus, our ability to predict abundances of smaller particles.…”
Section: Introductionmentioning
confidence: 99%
“…While the initial intention of the power law was to reveal possible sources and sinks within measured size fractions, researchers have begun to apply the model to predict abundances of unmeasured size fractions. Such predictions have been used to rescale field and toxicology studies to the same microplastics size ranges for risk assessment and inter-ecosystem comparisons. ,, Kooi and Koelmans applied the power law model of analysis to 19 studies that varied in sampling locations and determined an average exponent value of 1.6 while a larger study that included marine and freshwater surface waters and sediments found that the exponent value for these combined samples was 2.68 . The variation in the exponential values in these different studies as a function of the number of samples included suggests that the assumptions made during fitting data may influence the model and, thus, our ability to predict abundances of smaller particles.…”
Section: Introductionmentioning
confidence: 99%
“…The concentration of microplastics in the surface water of the Yangtze River Basin varies from tens to tens of thousands/m 3 and continues to rise [ 23 , 25 ]. And the microplastic exposure data from the Yangtze River basin was among the highest reported for rivers and other aquatic systems worldwide, exceeding effect thresholds in some parts of the river [ 26 ]. Hence, the potential impact of microplastic pollution on C. guichenoti warrants more widespread attention.…”
Section: Introduction Testmentioning
confidence: 99%