Jarl Tynan Collado, J. G. Abalos, Imee de los Reyes, M. Cruz, G. Leung, Katrina Abenojar, Carlos Rosauro Manalo, Bernell Go, Christine L. Chan, Charlotte Kendra Gotangco Gonzales, J. Simpas, E. Porio, J. Wong, S. Lung, M. Cambaliza
{"title":"东南亚某特大城市高危职业人群PM2.5暴露时空评价","authors":"Jarl Tynan Collado, J. G. Abalos, Imee de los Reyes, M. Cruz, G. Leung, Katrina Abenojar, Carlos Rosauro Manalo, Bernell Go, Christine L. Chan, Charlotte Kendra Gotangco Gonzales, J. Simpas, E. Porio, J. Wong, S. Lung, M. Cambaliza","doi":"10.4209/aaqr.220134","DOIUrl":null,"url":null,"abstract":"Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM 2.5 ), making them the appropriate sub-population for investigating the health impacts of PM 2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM 2.5 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 PM 2.5 is 36.4 µ g m –3 , seven times greater than the mean annual guideline value (5.0 µ g m –3 ) set by the World Health Organization (WHO). Elevated levels of PM 2.5 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 µ g 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 PM 2.5 . 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.","PeriodicalId":7402,"journal":{"name":"Aerosol and Air Quality Research","volume":"1 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity\",\"authors\":\"Jarl Tynan Collado, J. G. Abalos, Imee de los Reyes, M. Cruz, G. Leung, Katrina Abenojar, Carlos Rosauro Manalo, Bernell Go, Christine L. Chan, Charlotte Kendra Gotangco Gonzales, J. Simpas, E. Porio, J. Wong, S. Lung, M. Cambaliza\",\"doi\":\"10.4209/aaqr.220134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM 2.5 ), making them the appropriate sub-population for investigating the health impacts of PM 2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM 2.5 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 PM 2.5 is 36.4 µ g m –3 , seven times greater than the mean annual guideline value (5.0 µ g m –3 ) set by the World Health Organization (WHO). Elevated levels of PM 2.5 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 µ g 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 PM 2.5 . 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. 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Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity
Drivers of open-air public utility jeepneys (PUJs) in the Philippines are regularly exposed to severe levels of fine particulate pollution (PM 2.5 ), making them the appropriate sub-population for investigating the health impacts of PM 2.5 on populations chronically exposed to these kinds of unique sources. Real-time PM 2.5 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 PM 2.5 is 36.4 µ g m –3 , seven times greater than the mean annual guideline value (5.0 µ g m –3 ) set by the World Health Organization (WHO). Elevated levels of PM 2.5 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 µ g 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 PM 2.5 . 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.
期刊介绍:
The international journal of Aerosol and Air Quality Research (AAQR) covers all aspects of aerosol science and technology, atmospheric science and air quality related issues. It encompasses a multi-disciplinary field, including:
- Aerosol, air quality, atmospheric chemistry and global change;
- Air toxics (hazardous air pollutants (HAPs), persistent organic pollutants (POPs)) - Sources, control, transport and fate, human exposure;
- Nanoparticle and nanotechnology;
- Sources, combustion, thermal decomposition, emission, properties, behavior, formation, transport, deposition, measurement and analysis;
- Effects on the environments;
- Air quality and human health;
- Bioaerosols;
- Indoor air quality;
- Energy and air pollution;
- Pollution control technologies;
- Invention and improvement of sampling instruments and technologies;
- Optical/radiative properties and remote sensing;
- Carbon dioxide emission, capture, storage and utilization; novel methods for the reduction of carbon dioxide emission;
- Other topics related to aerosol and air quality.