Development of Meteorological Criteria for Classifying PM<inf>2.5</inf> Risk in a Coastal Industrial Province in Thailand
Issued Date
2024-10-01
Resource Type
ISSN
16808584
eISSN
20711409
Scopus ID
2-s2.0-85205934139
Journal Title
Aerosol and Air Quality Research
Volume
24
Issue
10
Rights Holder(s)
SCOPUS
Bibliographic Citation
Aerosol and Air Quality Research Vol.24 No.10 (2024)
Suggested Citation
Vongruang P., Suppoung K., Kirtsaeng S., Prueksakorn K., Thao P.T.B., Pimonsree S. Development of Meteorological Criteria for Classifying PM<inf>2.5</inf> Risk in a Coastal Industrial Province in Thailand. Aerosol and Air Quality Research Vol.24 No.10 (2024). doi:10.4209/aaqr.230321 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/101619
Title
Development of Meteorological Criteria for Classifying PM<inf>2.5</inf> Risk in a Coastal Industrial Province in Thailand
Corresponding Author(s)
Other Contributor(s)
Abstract
The meteorological criteria for classifying the risk of PM2.5 problems were developed through a comprehensive approach in Samut Prakan, an industrial province located on the coast in a tropical climate zone. The relationship between meteorological criteria and PM2.5 risk level was conducted by analyzing the dataset of observed PM2.5 and meteorological parameters from 2018 to 2021. The results indicate that PM2.5 issues primarily arise during winter, with January recording the highest monthly concentration, exceeding the annual average by 83%. The high concentration in winter is related to low temperatures, wind speeds, and PBL heights that lead to low ventilation, which is 28% lower than the annual average in January. In the dry season, the mean daily ventilation index (VI) is the most sensitive meteorological parameter for PM2.5 variation and is used to classify PM2.5 risk levels: low risk (0–37 µg m–3) when VI > 2,369 m2 s–1; moderate risk (38–50 µg m–3) when VI = 1,606–2,369 m2 s–1; high risk (51–91 µg m–3) when VI = 886–1,605 m2 s–1; and very high risk (> 91 µg m–3) when VI < 886 m2 s–1. Meteorological criteria should be developed for each region based on climate, emission characteristics, methods, and data used for calculating these criteria, along with other local factors.