Publication: Health risk and predictive equation for pm<inf>2.5</inf> using tsp and pm<inf>10</inf> variables in office buildings
Issued Date
2021-05-01
Resource Type
ISSN
01253395
Other identifier(s)
2-s2.0-85111044035
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Mahidol University
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SCOPUS
Bibliographic Citation
Songklanakarin Journal of Science and Technology. Vol.43, No.3 (2021), 834-839
Suggested Citation
Thanakrit Neamhom, Withida Patthanaissaranukool, Yada Pinatha, Budsakorn Chommueang Health risk and predictive equation for pm<inf>2.5</inf> using tsp and pm<inf>10</inf> variables in office buildings. Songklanakarin Journal of Science and Technology. Vol.43, No.3 (2021), 834-839. doi:10.14456/sjst-psu.2021.110 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/79354
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Title
Health risk and predictive equation for pm<inf>2.5</inf> using tsp and pm<inf>10</inf> variables in office buildings
Abstract
Total suspended particle (TSP) and particulate matter (PM10 and PM2.5) were measured at 35 office buildings in Thailand. This study aimed (1) to characterize the concentrations of TSP, PM10, and PM2.5 in office buildings, (2) to determine health risk indexes, and (3) to investigate the predictive equations for PM2.5. Particle air sampling equipment and a self-administered questionnaire were used as the tools. Average concentrations of TSP, PM10, and PM2.5 were found at 52.0±15.5, 44.3±12.2, and 31.3±10.4 μg/m3, respectively. Health risk assessments regarding exposure to PM10 and PM2.5 were at moderate health hazard levels. A multiple linear regression model was used to create the predictive equation. The results verified that PM2.5 concentration could be well estimated under known PM10 and TSP with the r2 value of 0.88. These findings could help provide the possibility to estimate a non-monitoring value in terms of the available data.