Distribution of PM2.5 in Thailand
Keywords:
PM2.5 ; Distribution ; Spatial Autocorrelation ; ThailandAbstract
Particulate Matter with a diameter of less than 2.5 microns (PM2.5) is an air pollution that affects the health of Thai people. Thus, this study aims to investigate the spatial distribution of PM2.5 in Thailand. We retrieved PM2.5 data during 2020 to 2024 from the website of Pollution Control Department, Ministry of Natural Resources and Environment, Thailand. We explored a spatial autocorrelation of the PM2.5 by using Moran’s I test and Local Indicator of Spatial Autocorrelation (LISA). The results indicated that the annual average of PM2.5 concentration increased by approximately 4.4 µg/m³ between 2022 and 2024.The distribution of PM2.5 in 2024 was strongest clustering pattern (Global Moran’s I = 0.66, 95% confidence Interval: 0.29 to 0.99). When we conducted spatial analysis by using provincial data, our findings reveal that northern part of Thailand had the highest in both quantity and spread of PM2.5 in 2020, 2023, and 2024. Additionally, we also found that the majority of southern region of Thailand had lowest of average PM2.5 over the past five years. When monthly data of PM2.5 was considered, the findings found that quantity of PM2.5 was highest between January and April each year.
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World Health Organization. (2021). WHO global air quality guidelines: Particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization. https://www.who.int/publications/i/item/9789240034228
Brook, R. D., Rajagopalan, S., Pope III, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., Holguin, F., Hong, Y., Luepker, R. V., Mittleman, M. A., Peters, A., Siscovick, D. S., Smith Jr., S. C., Whitsel, L., and Kaufman, J. D. (2010). Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation, 121(21), 2331-2378.
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D., and Pozzer, A. (2015). The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 525(7569), 367-371. https://doi.org/10.1038/nature15371
Pope, C. A., 3rd, and Dockery, D. W. (2006). Health effects of fine particulate air pollution: lines that connect. Journal of the Air and Waste Management Association, 56(6), 709-742. https://doi.org/10.1080/10473289.2006.10464485
Vadrevu, K. P., Lasko, K., Giglio, L., Schroeder, W., and Biswas, S. (2019). Trends in vegetation fires in South and Southeast Asian countries. Scientific Reports, 9(1), Article 7422. https://doi.org/10.1038/s41598-019-43940-4
Zhao, B., Wang, P., Ma, J. Z., Zhu, S., Pozzer, A., and Li, W. (2013). A high-resolution emission inventory of primary pollutants for the Huabei region, China. Atmospheric Chemistry and Physics, 13(9), 4511-4527. https://doi.org/10.5194/acp-13-4511-2013
Pollution Control Department. (2023). Air quality monitoring and forecasting in Thailand. Pollution Control Department. Retrieved February 1, 2025, from https://air4thai.pcd.go.th/
Amnuaylojaroen, T., Kaewkanchanawong, P., and Panpeng, P. (2023). Distribution and meteorological control of PM2.5 and its effect on visibility in Northern Thailand. Atmosphere, 14(3), Article 538.
Pollution Control Department. (2025). Regional air quality reports. http://air4thai.com/webV3/#/Home
Humanitarian Data Exchange. (2022). Thailand - Subnational administrative boundaries. Humanitarian Data Exchange. Retrieved February 1, 2025, from https://data.humdata.org/dataset/cod-ab-tha
R Core Team. (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org/
Posit Team. (2025). RStudio: Integrated development environment for R. Posit Software, PBC. https://posit.co/
Bivand, R., and Wong, D. W. S. (2018). Comparing implementations of global and local indicators of spatial association. TEST, 27(3), 716-748.
Wiriya, W., Pani, S. D., Khamkaew, C., Chantara, C., Wangpakapattanawong, S., and Chantara, S. (2023). Characteristics and sources of PM2.5 in Northern Thailand during haze episodes. Atmospheric Environment, 301, Article 119679. https://doi.org/10.1016/j.atmosenv.2023.119679
Pollution Control Department. (2023). Thailand air and noise pollution situation and management report 2023. Ministry of Natural Resources and Environment.
IQAir. (2024). Thailand air quality. IQAir. Retrieved February 1, 2025, from https://www.iqair.com/us/thailand
Inlaung, K., Chotamonsak, C., Surapipith, V., and Macatangay, R. (2022). Relationship of fire hotspot, PM2.5 concentrations, and surrounding areas in upper northern Thailand: A case study of haze season in 2019. Journal of King Mongkut's University of Technology North Bangkok, 33(2). http://ojs.kmutnb.ac.th/index.php/kjournal/article/view/4760
Sapuairat, K., and Banchongsiri, K. (2020). Quantitative relationship of particulate matter less than 10 microns (PM10) and particulate matter less than 2.5 microns (PM2.5) across regions and seasons. HCU Journal of Science and Technology, 6(1), 94-103.
Zhao, Y. (2025). PM2.5 prediction and its influencing factors in the Beijing-Tianjin-Hebei urban agglomeration using spatial temporal graph convolutional networks. Environmental Research Communications.
Shi, T., Zhang, Y., Yuan, X., Li, F., and Yan, S. (2024). Spatial patterns and determinants of PM2.5 concentrations: A land use regression analysis in Shenyang metropolitan area, China. Sustainability, 16(12), Article 5119. https://doi.org/10.3390/su16125119
World Meteorological Organization. (2023). WMO update: Prepare for El Niño conditions. https://wmo.int/news/media-centre/wmo-update-prepare-el-nino
World Meteorological Organization. (2023). State of the global climate 2023. https://wmo.int/publication-series/state-of-global-climate-2023
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