Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity
Abstract Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM2.5), making them the appropriate sub-population for investigating the health impacts of PM2.5 on populations chronically exposed to these kinds of u...
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| Format: | Article |
| Language: | English |
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Springer
2022-12-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.220134 |
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| author | Jarl Tynan Collado Jose Gabriel Abalos Imee de los Reyes Melliza T. Cruz Gabrielle Frances Leung Katrina Abenojar Carlos Rosauro Manalo Bernell Go Christine L. Chan Charlotte Kendra Gotangco Gonzales James Bernard B. Simpas Emma E. Porio John Q. Wong Shih-Chun Candice Lung Maria Obiminda L. Cambaliza |
| author_facet | Jarl Tynan Collado Jose Gabriel Abalos Imee de los Reyes Melliza T. Cruz Gabrielle Frances Leung Katrina Abenojar Carlos Rosauro Manalo Bernell Go Christine L. Chan Charlotte Kendra Gotangco Gonzales James Bernard B. Simpas Emma E. Porio John Q. Wong Shih-Chun Candice Lung Maria Obiminda L. Cambaliza |
| author_sort | Jarl Tynan Collado |
| collection | DOAJ |
| description | Abstract Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM2.5), making them the appropriate sub-population for investigating the health impacts of PM2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM2.5 exposures of PUJ drivers for a high-traffic route in Metro Manila, Philippines were assessed using Academia Sinica-LUNG (AS_LUNG) portable sensing devices. From all 15-second measurements obtained, the mean concentration of PM2.5 is 36.4 µg m−3, seven times greater than the mean annual guideline value (5.0 µg m−3) set by the World Health Organization (WHO). Elevated levels of PM2.5 were observed at key transportation microenvironments (TMEs) such as a transport terminal and near a shopping mall. The occurrence of hotspots along the route is mainly attributed to traffic-promoting factors like stoplights and traffic rush hours. Multiple linear regression (MLR) analysis revealed that the area by the shopping mall had the highest contribution (β = 52 µg m−3) to PUJ driver exposure. To the best of our knowledge, this study is the first in the country to perform a detailed characterization of the exposure of a high-risk occupational group to PM2.5. These results reveal information that is normally undetected by fixed site monitoring (FSM), underscoring the importance of mobile measurements as a complement to FSM in assessing the exposure of urban populations to air pollution more extensively. Furthermore, this study demonstrates the heavy influence of traffic-promoting factors on air pollution, and the feasibility of high-resolution mobile sensing for quantifying pollution characteristics in rapidly developing nations with unique air pollution sources. Gaps in our knowledge of their health impacts may be closed through quantifying exposure using reliable sensing devices and methods presented in this work. |
| format | Article |
| id | doaj-art-27556f02a74540c085e278f434240930 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-27556f02a74540c085e278f4342409302025-02-09T12:22:40ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-12-0123112110.4209/aaqr.220134Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian MegacityJarl Tynan Collado0Jose Gabriel Abalos1Imee de los Reyes2Melliza T. Cruz3Gabrielle Frances Leung4Katrina Abenojar5Carlos Rosauro Manalo6Bernell Go7Christine L. Chan8Charlotte Kendra Gotangco Gonzales9James Bernard B. Simpas10Emma E. Porio11John Q. Wong12Shih-Chun Candice Lung13Maria Obiminda L. Cambaliza14Manila ObservatoryManila ObservatoryDepartment of Physics, School of Science and Engineering, Ateneo de Manila UniversityManila ObservatoryManila ObservatoryDepartment of Environmental Science, School of Science and Engineering, Ateneo de Manila UniversityDepartment of Environmental Science, School of Science and Engineering, Ateneo de Manila UniversityEpiMetrics Inc.Manila ObservatoryDepartment of Environmental Science, School of Science and Engineering, Ateneo de Manila UniversityManila ObservatoryDepartment of Sociology and Anthropology, School of Social Sciences, Ateneo de Manila UniversityHealth Sciences Program, School of Science and Engineering, Ateneo de Manila UniversityResearch Center for Environmental Changes, Academia SinicaManila ObservatoryAbstract Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM2.5), making them the appropriate sub-population for investigating the health impacts of PM2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM2.5 exposures of PUJ drivers for a high-traffic route in Metro Manila, Philippines were assessed using Academia Sinica-LUNG (AS_LUNG) portable sensing devices. From all 15-second measurements obtained, the mean concentration of PM2.5 is 36.4 µg m−3, seven times greater than the mean annual guideline value (5.0 µg m−3) set by the World Health Organization (WHO). Elevated levels of PM2.5 were observed at key transportation microenvironments (TMEs) such as a transport terminal and near a shopping mall. The occurrence of hotspots along the route is mainly attributed to traffic-promoting factors like stoplights and traffic rush hours. Multiple linear regression (MLR) analysis revealed that the area by the shopping mall had the highest contribution (β = 52 µg m−3) to PUJ driver exposure. To the best of our knowledge, this study is the first in the country to perform a detailed characterization of the exposure of a high-risk occupational group to PM2.5. These results reveal information that is normally undetected by fixed site monitoring (FSM), underscoring the importance of mobile measurements as a complement to FSM in assessing the exposure of urban populations to air pollution more extensively. Furthermore, this study demonstrates the heavy influence of traffic-promoting factors on air pollution, and the feasibility of high-resolution mobile sensing for quantifying pollution characteristics in rapidly developing nations with unique air pollution sources. Gaps in our knowledge of their health impacts may be closed through quantifying exposure using reliable sensing devices and methods presented in this work.https://doi.org/10.4209/aaqr.220134Metro ManilaPersonal monitoringLow-cost sensorTraffic pollutionJeepney |
| spellingShingle | Jarl Tynan Collado Jose Gabriel Abalos Imee de los Reyes Melliza T. Cruz Gabrielle Frances Leung Katrina Abenojar Carlos Rosauro Manalo Bernell Go Christine L. Chan Charlotte Kendra Gotangco Gonzales James Bernard B. Simpas Emma E. Porio John Q. Wong Shih-Chun Candice Lung Maria Obiminda L. Cambaliza Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity Aerosol and Air Quality Research Metro Manila Personal monitoring Low-cost sensor Traffic pollution Jeepney |
| title | Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity |
| title_full | Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity |
| title_fullStr | Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity |
| title_full_unstemmed | Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity |
| title_short | Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity |
| title_sort | spatiotemporal assessment of pm2 5 exposure of a high risk occupational group in a southeast asian megacity |
| topic | Metro Manila Personal monitoring Low-cost sensor Traffic pollution Jeepney |
| url | https://doi.org/10.4209/aaqr.220134 |
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