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Modelling land use influence on polymer-specific microplastics abundance and transportation from terrestrial to aquatic environments

Environmental Pollution 2026
Mihiri Indunil Gunasekara, James McGree, Prasanna Egodawatta, Ayoko Godwin, Ashantha Goonetilleke, Ashantha Goonetilleke

Summary

Researchers developed a model to understand how land use patterns influence the abundance and transport of specific microplastic polymers from land into waterways. The study found that different land uses contribute distinct polymer types to the environment, providing evidence that targeted land management strategies could help reduce microplastic pollution in aquatic systems.

Body Systems
Models
Study Type Environmental

Plastic waste has reached a major environmental crisis level. Human exposure to microplastics (MPs)- particles <5 mm - is linked to toxicity, oxidative stress, inflammatory responses, neoplastic change, and numerous chronic health effects. Effective mitigation requires a thorough understanding of factors that govern MP accumulation and transport. While quantitative analyses at the polymer level remain limited, the role of land use patterns in shaping polymer abundance and movement is especially underexplored. This study addresses this knowledge gap by characterising and quantifying polymer-specific MP abundance (polyethylene (PE), polypropylene (PP), polystyrene (PS), polyethylene terephthalate (PET) and polyvinyl chloride (PVC)) in freshwater across four urban land uses (industrial, commercial, residential, and natural). Bayesian Network models were developed for two urban catchments, and a pooled model generated generalised estimates across both basins. PET and PP dominate industrial areas, while commercial areas show high PE, PVC, and PS levels. Residential areas contain elevated levels of all five polymers, and the natural regions are characterised by PE, PVC, and PS. These distinct polymer signatures reflect local activities associated with each land use. Regression outputs from the pooled model enabled quantification of individual polymer loads and prediction of concentrations at unsampled sites based on known land use profiles. Strong relationships were found between abundance and commercial/industrial land uses than with residential and natural settings. Consequently, mitigation strategies targeting industrial and commercial sectors will yield the greatest reductions in MP emissions. Study outcomes support targeted source control and efficient monitoring designs, and robust policy development for curbing microplastic pollution.

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