COVID-19 pandemic microplastics environmental impacts predicted by deep random forest (DRF) predictive model

COVID-19 pandemic microplastics environmental impacts predicted by deep random forest (DRF) predictive model

Abstract Background Microplastic pollution is a pressing issue with far-reaching environmental and public health consequences. This study delves into the intricacies of predicting microplastic pollution during the COVID-19 pandemic in Tehran, Iran. Methods The research introduces a rigorous comparat...

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Bibliographic Details
Main Authors: Liping Chen, Arkan K. S. Sabonchi, Yaser A. Nanehkaran
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Environmental Sciences Europe
Subjects:
Microplastics
COVID-19
Pandemic plastic
Environmental impact
Public health
Online Access:https://doi.org/10.1186/s12302-024-01019-z
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https://doi.org/10.1186/s12302-024-01019-z

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