Experimental Uncertainty Assessment of Meso- and Microplastic Concentrations in Rivers Based on Net Sampling

Experimental uncertainty assessment of meso- and microplastic concentrations in rivers based on net sampling

AI summary · Read the abstract

Researchers developed a method to account for net-clogging uncertainty when sampling meso- and microplastics in rivers, finding that a Weibull reliability function model can predict optimal filtration durations and keep concentration measurement errors below 12% in urban river conditions.

A first estimation of uncertainties related to microplastic sampling in rivers

AI summary · Read the abstract

Researchers collected 16 water samples from a French river to test how sampling strategy affects microplastic concentration estimates. Results showed wide variability depending on net deployment time, highlighting that standardized methods are essential before data from different studies can be reliably compared.

Variance and precision of microplastic sampling in urban rivers

AI summary · Read the abstract

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.

Physically-Based Mesh Selectivity Correction Model for Standardized Microplastic Abundance Estimates in Aquatic Environment

Impact and Fate of Microplastics in the Riverine Ecosystem

AI summary · Read the abstract

Researchers reviewed the fate, transport, and ecological impacts of microplastics in riverine ecosystems, finding that rivers serve as major conduits for microplastic transfer from terrestrial sources to oceans and that riverine biota face significant exposure-related health risks.