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Health risk and predictive equation for PM2.5 using TSP and PM10variables in office buildings |
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| รหัสดีโอไอ | |
| Creator | 1. Thanakrit Neamhom 2. Withida Patthanaissaranukool 3. Yada Pinatha 4. Budsakorn Chommueang |
| Title | Health risk and predictive equation for PM2.5 using TSP and PM10variables in office buildings |
| Publisher | Research and Development Office,Prince of Songkla University |
| Publication Year | 2564 |
| Journal Title | Songklanakarin Journal of Science and Technology (SJST) |
| Journal Vol. | 43 |
| Journal No. | 3 |
| Page no. | 834-839 |
| Keyword | PM2.5, PM10, TSP, health risk assessment, multiple linear regression |
| URL Website | https://rdo.psu.ac.th/sjstweb/ |
| ISSN | 0125-3395 |
| Abstract | Total suspended particle (TSP) and particulate matter (PM10 and PM2.5) were measured at 35 office buildings inThailand. This study aimed (1) to characterize the concentrations of TSP, PM10, and PM2.5 in office buildings, (2) to determinehealth risk indexes, and (3) to investigate the predictive equations for PM2.5. Particle air sampling equipment and a selfadministered questionnaire were used as the tools. Average concentrations of TSP, PM10, and PM2.5 were found at 52.0ยฑ15.5,44.3ยฑ12.2, and 31.3ยฑ10.4 ฮผg/m3, respectively. Health risk assessments regarding exposure to PM10 and PM2.5 were at moderatehealth hazard levels. A multiple linear regression model was used to create the predictive equation. The results verified that PM2.5concentration could be well estimated under known PM10 and TSP with the r2 value of 0.88. These findings could help providethe possibility to estimate a non-monitoring value in terms of the available data. |
