Publication: Influence of the meteorological conditions and some pollutants on PM<inf>10</inf> concentrations in Lamphun, Thailand
Issued Date
2021-06-01
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ISSN
2052336X
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2-s2.0-85099222569
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Mahidol University
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SCOPUS
Bibliographic Citation
Journal of Environmental Health Science and Engineering. Vol.19, No.1 (2021), 237-249
Suggested Citation
Wissanupong Kliengchuay, Suwalee Worakhunpiset, Yanin Limpanont, Aronrag Cooper Meeyai, Kraichat Tantrakarnapa Influence of the meteorological conditions and some pollutants on PM<inf>10</inf> concentrations in Lamphun, Thailand. Journal of Environmental Health Science and Engineering. Vol.19, No.1 (2021), 237-249. doi:10.1007/s40201-020-00598-2 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/77044
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Title
Influence of the meteorological conditions and some pollutants on PM<inf>10</inf> concentrations in Lamphun, Thailand
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Abstract
Particulate matter (PM) has been occurring regularly during the dry season in the upper north of Thailand including Lamphun Province that might be influenced by various factors including climatologic and other pollutants. This paper aims to investigate the climatologic and gaseous factors influencing the occurrence of PM10 concentration using Pollution Control Department (PCD) data. The secondary data of 2009 to 2017 obtained from the PCD was used for analysis. We used descriptive statistics, Pearson’s correlation coefficient, multiple regression and graphic presentation using R program (R packages of ‘open air’ and ‘ncdf4’) and Microsoft Excel Spreadsheet®. In addition, the periodic measurement of PM2.5 and PM10 were investigated to determine the ratio of PM2.5/PM10. The results indicated that haze episodes (daily PM10 concentration always over the PCD standard) normally occur during the dry season from February to April. The maximum concentration was always found in March. The PM10 concentration was negatively associated with relative humidity and temperature while the PM10 concentration showed a strongly positive association with CO and NO2 concentration with correlation values of 0.70 and 0.57, respectively. Furthermore, we found CO and PM10 concentration was associated with ozone concentration. This finding will benefit local communities and the public health sector to provide a warning system for preparation and response plans to react to PM10 episodes in their responsible areas.