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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Human Health Effects Marine & Wildlife Sign in to save

Microplastic deposit predictions on sandy beaches by geotechnologies and machine learning models

LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) 2025
Eduardo Siegle, Eduardo Siegle

Summary

Researchers used geotechnologies and machine learning models to predict microplastic deposition hotspots on sandy beaches, identifying environmental and anthropogenic variables that drive spatial variation in beach microplastic accumulation.

Microplastics (MPs) are polymeric particles, mainly fossil-based, widely found in marine ecosystems, linked to environmental and public health impacts due to their persistence and ability to carry pollutants.

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