The Current Situation of Smog Crisis and the Effect of Meteorological Factors on the PM10 in Chiangrai, Thailand

IJEP 43(10): 947-952 : Vol. 43 Issue. 10 (October 2023)

Piyavadee Srivichai1*, Chumaporn Rodsrida2 and Supichaya Meesad3

1. University of Phayao, Programme in Environmental Health, School of Public Health, Phayao – 56000, Thailand
2. University of Phayao, Programme in Occupational Health and Safety, School of Public Health, Phayao – 56000, Thailand
3. Naresuan University, International Business Management, Naresuan University International College, Phitsanulok – 65000, Thailand


The smog crisis in Chiangrai occurred for more than 10 years and has continuously intensified. It covers a wide area and affects several parts: economics, environments, health and societies. Particulate matter of less than 10 microns (PM10) is an important pollutant from smog because of its deep penetration into the lungs and is very harmful to health. The government issued the prevention and mitigation methods based on the 4-area division (reserved and conservation forest, agricultural area, community area and roadside area) using 4-management measures (planning and command system, building awareness, reducing the volume of residual fuel and motivating the volunteers and setting the supportive funds). The multiple linear regression results show that meteorological variables (highest and lowest temperature) have significant associations with PM10 levels of both air monitoring stations (Muang station and Mae Sai station) in Chiangrai. But the rainfall volume has a non-significant effect on PM10 levels. However, it could help to maintain the PM10 trend at lower level. Lastly, the predicted model helps to forecast the PM10 level and severity which is useful for preparing the proper prevention and correction measures.


Meteorology, PM10, Smog, Air, Burning


  1. Somta, S., M. Jantakad and N. Autama. 2022. The evaluation of economic impact on health from the smog pollution (PM10, PM2.5) in Chiangrai province. Available at :
  2. Francais, E. 2022. Smog. Energy Education.
  3. Nguyen, A.D., et al. 2019. Effect of meteorological factors on PM10concentration in Hanoi, Vietnam. J. Geosci. Env. Prot., 7(10): 138-150.
  4. The Meteorological Department. 2022. Weather forecast, weather, provinces, Chiangrai. Meteorological Department, Ministry of Digital Economic and Society, Thailand. Available at : https://www
  5. Latitude. 2022. Articles by country, Thailand Chiangrai (city). Available at :
  6. World map. 2022. Provinces of Thailand, Chiangrai map. Available at:
  7. Office of the Information Commission. 2022.Government House, Thailand. Available at: PDF.
  8. GISTDA. 2022. Summary report of forest fire and smog from satellite data in the year 2021. Ministry of Higher Education, Science, Research and Innovation, Thailand.
  9. Chuenterawong, P. 2019. Interactive communication design to enhance tourists’ traveling experiences in Chiangrai. Commun. Media Asia Pacific. 2(1): 73-92.
  10. OBELS. 2022. The effects of smog on tourism, Chiangrai. Office of Border Economy and Logistics Study. Available at: =2287.
  11. Conserve Energy Future. 2022. How does air pollution kills plants and animals. Available at:
  12. Huong-Thi, B., et al. 2022. Particulate matter accumulation and leaf traits of ten woody species growing with different air pollution conditions in Cheongju city, South Korea. Atmos., 13(9): 1-16.
  13. Local news. 2022. Smog blankets the city of Chiangrai, the weather is terrible. Available at:
  14. Nicole, P.H. 2022. Impaired visibility: the air pollution people see. Atmos. Env., 43(1): 182-195.
  15. Office of Natural Resources and Environment Chiangmai. 2018. Summary of forest fire and smog crisis 2018. Ministry of Natural Resources and Environment, Thailand.
  16. Pollution Control Department. 1995. The ambient air quality standards. Announcement of the national environmental committees no.10. Ministry of Natural Resources and Environment. Available at :
  17. Office of Agricultural Extension and Development. 2022. Guide to stop burning in agricultural areas in the northern 2018. Office of Agricultural Extension and Development, Chiangmai, Thailand. Available
    at : n=259.
  18. Mercedes, O.L. and J. Christophe. 2018. Confidence interval and hypothesis test for one sample. Available at: .
  19. Shaun, T. 2022. Coefficient of determination (R²) | calculation and interpretation. Available at :
  20. Wissanupong, K., et al. 2021. Particulate matter (PM10) prediction based on multiple linear regression: a case study in Chiangrai province. BMC Public Health. 21(1): 1-9.