Spatiotemporal Assessment of PM2.5 Exposure of a High-risk Occupational Group in a Southeast Asian Megacity

被引:7
|
作者
Collado, Jarl Tynan [1 ]
Abalos, Jose Gabriel [1 ]
Reyes, Imee de los [2 ]
Cruz, Melliza T. [1 ]
Leung, Gabrielle Frances [1 ,9 ]
Abenojar, Katrina [3 ]
Manalo, Carlos Rosauro [3 ]
Go, Bernell [5 ]
Chan, Christine L. [1 ]
Gonzales, Charlotte Kendra Gotangco [3 ,4 ]
Simpas, James Bernard B. [1 ,2 ]
Porio, Emma E. [6 ]
Wong, John Q. [7 ]
Lung, Shih-Chun Candice [8 ]
Cambaliza, Maria Obiminda L. [1 ,2 ]
机构
[1] Manila Observ, Quezon City 1108, Philippines
[2] Ateneo Manila Univ, Sch Sci & Engn, Dept Phys, Quezon City 1108, Philippines
[3] Ateneo Manila Univ, Sch Sci & Engn, Dept Environm Sci, Quezon City 1108, Philippines
[4] Ateneo Manila Univ, Ateneo Inst Sustainabil, Quezon City, Philippines
[5] EpiMetrics Inc, Makati 1209, Metro Manila, Philippines
[6] Ateneo Manila Univ, Sch Social Sci, Dept Sociol & Anthropol, Quezon City 1108, Philippines
[7] Ateneo Manila Univ, Sch Sci & Engn, Hlth Sci Program, Quezon City 1108, Philippines
[8] Acad Sinica, Res Ctr Environm Changes, Taipei 115, Taiwan
[9] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
关键词
Metro Manila; Personal monitoring; Low-cost sensor; Traffic pollution; Jeepney; PARTICULATE MATTER CONCENTRATIONS; AIR-POLLUTION; PERSONAL EXPOSURE; FINE PARTICULATE; BLACK CARBON; PARTICLE NUMBER; TRANSPORT MICROENVIRONMENTS; METRO MANILA; VARIABILITY; AMBIENT;
D O I
10.4209/aaqr.220134
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mu g m-3 , seven times greater than the mean annual guideline value (5.0 mu g 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 (beta = 52 mu 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 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.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Characterization of a High PM2.5 Exposure Group in Seoul Using the Korea Simulation Exposure Model for PM2.5 (KoSEM-PM) Based on Time-Activity Patterns and Microenvironmental Measurements
    Hwang, Yunhyung
    An, Jaehoon
    Lee, Kiyoung
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (12)
  • [2] Characterizing spatiotemporal patterns of elevated PM2.5 exposures in a megacity of China using combined mobile and stationary measurements
    Huang, Guancong
    Huang, Xiaobo
    Liu, Chanfang
    Wu, Lishen
    Liu, Guanlun
    Xing, Yi
    Li, Junhong
    Yan, Min
    ATMOSPHERIC ENVIRONMENT, 2023, 307
  • [3] PM2.5 Exposure and Health Risk Assessment Using Remote Sensing Data and GIS
    Xu, Dan
    Lin, Wenpeng
    Gao, Jun
    Jiang, Yue
    Li, Lubing
    Gao, Fei
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (10)
  • [4] A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments
    Kumar, Prashant
    Patton, Allison P.
    Durant, John L.
    Frey, H. Christopher
    ATMOSPHERIC ENVIRONMENT, 2018, 187 : 301 - 316
  • [5] PM2.5 exposure estimates for college students and health risk assessment
    Massey, David Daneesh
    Habil, Mahima
    AIR QUALITY ATMOSPHERE AND HEALTH, 2024, 17 (11) : 2529 - 2538
  • [6] High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019
    Huang, Conghong
    Hu, Jianlin
    Xue, Tao
    Xu, Hao
    Wang, Meng
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (03) : 2152 - 2162
  • [7] High spatiotemporal resolution mapping of PM2.5 concentrations under a pollution scene assumption
    Xu, Shan
    Zou, Bin
    Xiong, Ying
    Wan, Neng
    Feng, Huihui
    Hu, Chenxia
    Lin, Yan
    JOURNAL OF CLEANER PRODUCTION, 2021, 326
  • [8] An approach to predict population exposure to ambient air PM2.5 concentrations and its dependence on population activity for the megacity London
    Singh, Vikas
    Sokhi, Ranjeet S.
    Kukkonen, Jaakko
    ENVIRONMENTAL POLLUTION, 2020, 257
  • [9] Pollution Characteristics of Particulate Matter (PM2.5 and PM10) and Constituent Carbonaceous Aerosols in a South Asian Future Megacity
    Aslam, Afifa
    Ibrahim, Muhammad
    Shahid, Imran
    Mahmood, Abid
    Irshad, Muhammad Kashif
    Yamin, Muhammad
    Ghazala
    Tariq, Muhammad
    Shamshiri, Redmond R.
    APPLIED SCIENCES-BASEL, 2020, 10 (24): : 1 - 17
  • [10] Spatiotemporal Characteristics and Health Risk Assessment of Heavy Metals in PM2.5 in Zhejiang Province
    Wang, Xiaofeng
    He, Shengliang
    Chen, Shuchang
    Zhang, Yongli
    Wang, Aihong
    Luo, Jinbin
    Ye, Xialiang
    Mo, Zhe
    Wu, Lizhi
    Xu, Peiwei
    Cai, Gaofeng
    Chen, Zhijian
    Lou, Xiaoming
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (04):