Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models

Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models

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. In São Paulo’s northern coast, geomorphological factors and anthropogenic activities intens...

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Bibliographic Details
Main Authors: Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Pedro Silva de Freitas Sousa, Lucas de Paula Miranda, Saulo de Oliveira Folharini, Eduardo Siegle
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Coasts
Subjects:
emergent pollution
GNSS position
morphodynamics
multivariate models
orbital remote sensing
Online Access:https://www.mdpi.com/2673-964X/5/1/4
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