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March 19, 2026Aerosol and Air Quality Research1 citationsOpen Access

Characterizing PM2.5 Variability and Cross-Boundary Aerosol Transport in Central Thailand Using Low-Cost Sensors and Himawari-9 Data

WKWorapan KanchanachatSPS. PattarapanitchaiSWSheng-Hsiang Wang

Key Points

  • The research aims to characterize seasonal variations and identify sources of PM2.5 in central Thailand.
  • Used low-cost PM2.5 sensors at four sites for data collection.
  • Conducted performance evaluations against reference-grade instruments.
  • Analyzed seasonal variations and aerosol transport pathways using satellite data and trajectory models.
  • PM2.5 levels were highest in winter (59.0 µg/m³ in Nakhon Pathom) and lowest in the rainy season.
  • The Nakhon Pathom site exceeded Thailand’s air quality standard.
  • Aerosol transport from biomass burning in eastern Thailand and Cambodia was identified during January 2023.

Abstract

Abstract This study characterizes the seasonal variations and cross-boundary aerosol transport in central Thailand using a combination of low-cost PM 2.5 sensors, sunphotometer observations, and Himawari-9 satellite aerosol products. PM 2.5 data were collected by low-cost AEROBOX air quality sensors (LCASs) at four sites in central Thailand (Bangkok, Nakhon Pathom, Sra Kaeo, and Chachoengsao) between September 2022 and June 2024. A performance evaluation conducted against a reference-grade ADR-1500 instrument showed strong agreement (R 2 = 0.96), confirming the suitability of LCASs for regional PM 2.5 monitoring. The results show that PM 2.5 concentrations were consistently higher during the winter season and lower during the rainy season at all sites. The highest mean PM 2.5 levels were observed at the high-density population Nakhon Pathom site (59.0 ± 22.9 µg/m 3 ), exceeding Thailand’s National Ambient Air Quality Standard (NAAQS) of 37.5 µg/m 3 , while lower levels were observed at the rural sites of Sra Kaeo (36.8 ± 13.8 µg/m 3 ) and Chachoengsao (36.1 ± 11.1 µg/m 3 ). A case study conducted from 14 to 18 January 2023 demonstrates the combined use of Cimel aerosol optical depth (AOD), Himawari-9 aerosol optical thickness (AOT), ERA5 wind fields, and HYSPLIT backward trajectories to identify aerosol sources and transport pathways affecting central Thailand. During this episode, elevated PM 2.5 and AOD were associated with biomass-burning emissions transported from eastern Thailand and Cambodia under southeasterly flow, which mixed with local pollutants under stable atmospheric conditions. This study highlights the effectiveness of combining low-cost sensors with satellite observations and trajectory analyses for improving PM 2.5 characterization in regions with limited monitoring networks. Graphical Abstract

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Cite This Study

Kanchanachat et al. (2026) studied this question.

synapsesocial.com/papers/69bb928c496e729e6297fecchttps://doi.org/10.1007/s44408-026-00099-1
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