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Variance and precision of microplastic sampling in urban rivers

Environmental Pollution 2022 21 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mamoru Tanaka, Yasuo NIHEI Mamoru Tanaka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Mamoru Tanaka, Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Tomoya Kataoka, Mamoru Tanaka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Tomoya Kataoka, Yasuo NIHEI Yasuo NIHEI Yasuo NIHEI Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI Yasuo NIHEI Yasuo NIHEI Tomoya Kataoka, Mamoru Tanaka, Yasuo NIHEI Yasuo NIHEI Tomoya Kataoka, Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Tomoya Kataoka, Yasuo NIHEI Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI Yasuo NIHEI Yasuo NIHEI Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI Tomoya Kataoka, Yasuo NIHEI

Summary

Researchers assessed the variance and precision of microplastic sampling methods in urban rivers, finding that high spatial and temporal variability in microplastic concentrations requires carefully designed sampling strategies to obtain representative measurements and reliable data for river microplastic assessments.

Study Type Environmental

Microplastics (MPs), plastic particles <5 mm in diameter, have become an emerging ubiquitous concern for the environment. Rivers are the primary pathways that transport MPs from the land to the ocean; however, standardized methodologies for in-situ sampling in freshwater environments remain undefined. Notably, uncertainties in MP sampling methods lead to errors in estimating MP discharge through rivers. In the present study, the inter-sample variance of plankton net-obtained MP concentrations for two urban rivers in Japan was investigated. Numerical concentrations, expressed in particles·m<sup>-3</sup>, revealed that variance s<sup>2</sup> was proportional to the mean m of replicated estimates of numerical concentrations. A derived statistical model suggested that river MPs disperse according to purely random processes; that is, Poisson point processes. Accordingly, a method was established to project the "precision," the ratio of the standard error to m, of numerical concentrations based on the number of net sampling repetitions. It was found that the mean of two replicates maintained sufficient precision of <30% for conditions with high concentrations of ≥3 particles·m<sup>-3</sup>. Projected precisions under different levels of MP concentrations are also presented to help design future field campaigns.

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