Long-Term Retrospective Predicted Concentration of PM<sub>2.5</sub> in Upper Northern Thailand Using Machine Learning Models

Long-Term Retrospective Predicted Concentration of PM<sub>2.5</sub> in Upper Northern Thailand Using Machine Learning Models

This study aims to build, for the first time, a model that uses a machine learning (ML) approach to predict long-term retrospective PM<sub>2.5</sub> concentrations in upper northern Thailand, a region impacted by biomass burning and transboundary pollution. The dataset includes PM<sub...

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Bibliographic Details
Main Authors: Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, Kittipan Rerkasem, Worawut Srisukkham
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Toxics
Subjects:
PM<sub>2.5</sub> prediction
retrospective prediction
long-term prediction
machine learning
fire hotspots
Online Access:https://www.mdpi.com/2305-6304/13/3/170
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