A Visibility-Based Historical PM2.5 Estimation for Four Decades (1981–2022) Using Machine Learning in Thailand: Trends, Meteorological Normalization, and Influencing Factors Using SHAP Analysis

A Visibility-Based Historical PM2.5 Estimation for Four Decades (1981–2022) Using Machine Learning in Thailand: Trends, Meteorological Normalization, and Influencing Factors Using SHAP Analysis

Abstract Introduction PM2.5 pollution is a significant environmental and health concern in Thailand, with levels intensifying during the dry season. However, the lack of long-term PM2.5 data limits understanding of historical trends and meteorological influences. Objective This study aims to reconst...

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Bibliographic Details
Main Authors: Nishit Aman, Sirima Panyametheekul, Ittipol Pawarmart, Sumridh Sudhibrabha, Kasemsan Manomaiphiboon
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Aerosol and Air Quality Research
Subjects:
PM2.5
MERRA-2
Machine learning
Meteorological normalization
Explainable machine learning
Shapley value
Online Access:https://doi.org/10.1007/s44408-025-00007-z
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https://doi.org/10.1007/s44408-025-00007-z

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