Identifying PM2.5-bound metal pollution sources in Southern Thailand using positive matrix factorization and principal component analysis

This study presents the first integrated source apportionment and health risk assessment of PM 2.5 -bound metals in Southern Thailand using Positive Matrix Factorization (PMF) and Principal Component Analysis (PCA). PM 2.5 samples were collected across three urban-industrial provinces, Nakhon Si Thammarat (NST), Phuket (PKT), and Songkhla (SKA), during multiple months in 2023. PMF successfully resolved five major emission sources, including industrial processes, vehicular traffic, maritime fuel combustion, waste incineration, and fossil fuel combustion, explaining 58.4 % of the variance in the dataset. PCA offered complementary insight but lacked the resolution to isolate mixed-source tracers such as vanadium (V) and nickel (Ni), with lower total explained variance. Metal concentrations and source contributions exhibited distinct spatial and seasonal patterns, reflecting dynamic emission influences across the region. Phuket emerged as a hotspot for toxic metal exposure, with the highest hazard index (HI = 1.63) and cancer risk (4.79 × 10 −4 ), exceeding international safety thresholds. In contrast, NST showed elevated Zn and Ag from traffic-related sources, while SKA was dominated by V and Ni from maritime emissions. Enrichment factor analysis further highlighted anthropogenic signatures, with exceptionally high values for Hg (Log EF = 6.09) in PKT and arsenic (As) (39 % of total metal mass) in SKA. Our findings provide new regional-scale evidence of metal-specific health risks and emission patterns in an understudied Southeast Asian context. This work supports the urgent need for strengthened regulatory policies targeting industrial and vehicular emissions, improved waste management, and expanded air quality monitoring to mitigate public health impacts from PM 2.5 -bound metals in Southern Thailand. • PMF resolved PM 2.5 metal sources better than PCA, explaining 58.4 % of variance. • Phuket showed the highest PM 2.5 health risks, exceeding safety thresholds. • Industrial and vehicular emissions were major metal pollution sources identified. • PM 2.5 -bound metals like Hg, As, and Pb varied spatially and seasonally by site. • Urgent actions are needed to control toxic metal exposure from PM 2.5 in the region.

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Publication Details

Journal
Atmospheric Environment X
Published
2025-04-01
DOI
https://doi.org/10.1016/j.aeaoa.2025.100337
Citations
7
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
21.92
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article

Identifying PM2.5-bound metal pollution sources in Southern Thailand using positive matrix factorization and principal component analysis

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7 citations
Atmospheric Environment X
Energy, Environment, Economic Growth
21.92
article

Identifying PM2.5-bound metal pollution sources in Southern Thailand using positive matrix factorization and principal component analysis

Radshadaporn Janta, Teerapong Sripahco, Patcharee Pripdeevech, Rungruang Janta, S. Poshyachinda, Siwatt Pongpiachan, Jompob Waewsak, Danai Tipmanee, Sarunpron Khruengsai
article en
7 citations

Abstract

This study presents the first integrated source apportionment and health risk assessment of PM 2.5 -bound metals in Southern Thailand using Positive Matrix Factorization (PMF) and Principal Component Analysis (PCA). PM 2.5 samples were collected across three urban-industrial provinces, Nakhon Si Thammarat (NST), Phuket (PKT), and Songkhla (SKA), during multiple months in 2023. PMF successfully resolved five major emission sources, including industrial processes, vehicular traffic, maritime fuel combustion, waste incineration, and fossil fuel combustion, explaining 58.4 % of the variance in the dataset. PCA offered complementary insight but lacked the resolution to isolate mixed-source tracers such as vanadium (V) and nickel (Ni), with lower total explained variance. Metal concentrations and source contributions exhibited distinct spatial and seasonal patterns, reflecting dynamic emission influences across the region. Phuket emerged as a hotspot for toxic metal exposure, with the highest hazard index (HI = 1.63) and cancer risk (4.79 × 10 −4 ), exceeding international safety thresholds. In contrast, NST showed elevated Zn and Ag from traffic-related sources, while SKA was dominated by V and Ni from maritime emissions. Enrichment factor analysis further highlighted anthropogenic signatures, with exceptionally high values for Hg (Log EF = 6.09) in PKT and arsenic (As) (39 % of total metal mass) in SKA. Our findings provide new regional-scale evidence of metal-specific health risks and emission patterns in an understudied Southeast Asian context. This work supports the urgent need for strengthened regulatory policies targeting industrial and vehicular emissions, improved waste management, and expanded air quality monitoring to mitigate public health impacts from PM 2.5 -bound metals in Southern Thailand. • PMF resolved PM 2.5 metal sources better than PCA, explaining 58.4 % of variance. • Phuket showed the highest PM 2.5 health risks, exceeding safety thresholds. • Industrial and vehicular emissions were major metal pollution sources identified. • PM 2.5 -bound metals like Hg, As, and Pb varied spatially and seasonally by site. • Urgent actions are needed to control toxic metal exposure from PM 2.5 in the region.

Atmospheric Environment XVol. 26
Prince of Songkla University (TH), National Institute of Development Administration (TH), Mae Fah Luang University (TH), Chiang Mai University (TH), Thaksin University (TH), National Astronomical Research Institute of Thailand (TH), Walailak University (TH)
Climate action
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
21.92
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