Publication: Distinguish Potential Source Areas of PM<inf>2.5</inf> and PM<inf>10</inf> by Statistical Data Analysis
Issued Date
2020-05-27
Resource Type
ISSN
17551315
17551307
17551307
Other identifier(s)
2-s2.0-85086269880
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Mahidol University
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SCOPUS
Bibliographic Citation
IOP Conference Series: Earth and Environmental Science. Vol.489, No.1 (2020)
Suggested Citation
S. Sooktawee, S. Kanchanasuta, S. Boonyapitak, A. Patpai, N. Piemyai Distinguish Potential Source Areas of PM<inf>2.5</inf> and PM<inf>10</inf> by Statistical Data Analysis. IOP Conference Series: Earth and Environmental Science. Vol.489, No.1 (2020). doi:10.1088/1755-1315/489/1/012024 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/57863
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Title
Distinguish Potential Source Areas of PM<inf>2.5</inf> and PM<inf>10</inf> by Statistical Data Analysis
Abstract
© Published under licence by IOP Publishing Ltd. Power plant from biomass in community area has been complained as emission source of many pollutants such as wastewater, noise, odor and polluted air. For air pollution, total suspended particulate (TSP) and particulate matter less than 10 micron (PM10) from rice husk energy process is quite large. Roi Et is a province located in Northeast of Thailand which obtains power plants using rice husk as fuel in the process. According to the land-use pattern of the community area of Roi Et, it revealed that there are many sources of air pollution. This study selected the statistical techniques to distinguish the potential source area influencing the high concentrations of particulate matter less than 2.5 micron (PM2.5), particulate matter 2.5 to 10 micron (PMcoarse), and PM10 which caused the health effects of people around the rice husk power plants. Hourly observed PM10 and PM2.5 data were analysed by time series and bivariate polar plot. Results showed that increasing the concentration of PM10 and PM2.5 were observed in the duration of low wind speed. However, daily average of PM10 was not more than National Ambient Air Quality Standard (NAAQS) which is 120 μg/m3. In contrast, results showed that daily average of PM2.5 performed over NAAQS of 50 μg/m3 in the 20th -22nd December 2018 that high pressure cover Thailand. While sources of these particulate matters could be distinguished into 3 potential areas based on the mobile air quality monitoring station location which were 1) east side and 2) north-west side which regarded as sub-urban and traffic areas, respectively and 3) north-east side which regarded as power plants area. Results revealed that PMcoarse was the major pollutant dispersed from the Northeast direction that the power plants were the major source. Whereas traffic and community were the main sources of PM2.5 coming from the East and the Northwest direction of the mobile air quality monitoring station point. Therefore, discrimination of each point source could be done first before implementing to control and manage the air pollution effectively.