Dergiler / Atmospheric Pollution Research / 2017 / Cilt: 8 - Sayı: 5

Commuter exposure to particulate matter for different transportation modes in Xi'an, China

Sayfa
940–948
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Size fractions of PM differed greatly across PM exposures with the ratio of fine particles to coarser particles (PM2.5/PM10) varying from 45 to 96%.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Toxic air pollution on city streets is a very important issue, as pollutants are associated with adverse health effects, including respiratory and cardiovascular diseases.
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Temel Bulgular & Veri:Commuter exposure concentrations to PM (PM10, PM2.5, PM1.0) were investigated in the following microenvironments: private cars under four ventilation modes, subway trains and station platforms, buses under two different ventilation modes, and pedestrians.
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Sonuç & Katkı:Size fractions of PM differed greatly across PM exposures with the ratio of fine particles to coarser particles (PM2.5/PM10) varying from 45 to 96%.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Toxic air pollution on city streets is a very important issue, as pollutants are associated with adverse health effects, including respiratory and cardiovascular diseases. This study compared commuters' ex- posures to inhalable suspended particulate matter (PM) for different transportation modes in Xi'an City, China. Four commuting modesdprivate car, subway, bus and walkingdwere selected for the study. Commuter exposure concentrations to PM (PM10, PM2.5, PM1.0) were investigated in the following microenvironments: private cars under four ventilation modes, subway trains and station platforms, buses under two different ventilation modes, and pedestrians. Pearson correlation analysis was used to analyze the relationships between commuter PM10, PM2.5 and PM1.0 exposure concentrations under the different commuting modes. A mixed-effect linear model was used to identify the effects of different commuting modes on PM mass and number concentrations in these different traffic microenvironments. The results indicated that the concentration of particulate matter (PM) is significantly influenced by transportation mode as well as by vehicle ventilation systems. Among the four commuting modes, commuters were exposed to the lowest concentrations of PM10 (11.83 ± 7.60 mg mÀ3), PM2.5 (10.09 ± 6.63 mg mÀ3) and PM1.0 (9.52 ± 6.17 mg mÀ3) in a private car with air conditioning recirculation. In contrast, passengers waiting for a train on a subway station platform were exposed to the highest PM concentrations (244.99 ± 43.19 mg mÀ3). Size fractions of PM differed greatly across PM exposures with the ratio of fine particles to coarser particles (PM2.5/PM10) varying from 45 to 96%.

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Bu Makaleye Atıf Yap

Qiu, Z., Song, J., Xu, X., Luo, Y., Zhao, R., Zhou, W., Xiang, B., Hao, Y. (2017). Commuter exposure to particulate matter for different transportation modes in Xi'an, China. Atmospheric Pollution Research, Cilt: 8 - Sayı: 5, 940–948. https://ajindex.com/articles/216971

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  1. Xu, B., Yu, X., Gu, H., Miao, B., Wang, M., Huang, H., 2016. Commuters' exposure to PM2.5 and CO2 in metro carriages of Shanghai metro system. Transp. Res. Part D Transp. Environ. 47, 162e170. Wang, J., Zhao, L., Zhu, D., Gao, H.O., Xie, Y., Li, H., Xu, X., Wang, H., 2016.Characteristics of particulate matter(PM) concentrations influenced by piston wind and train door opening in the Shanghai subway system. Transp. Res. Part D Transp. Environ. 47, 77e88. Tsai, D.H., Wu, Y.H., Chan, C.C., 2008. Comparison of commuter's exposure to par- ticulate matters while using different transportation modes. Sci. Total Environ. 405, 71e77. Richmond-Bryant, J., Saganich, C., Bukiewicz, L., Kalin, R., 2009. Association of PM2.5 and black carbon concentrations with traffic, idling, background pollution, and meteorology during school dismissals. Sci. Total Environ. 407, 3357e3364. Quiros, D.C., Lee, E.S., Wang, R., Zhu, Y., 2013. Ultrafine particle exposures while walking, cycling, and driving along an urban residential roadway. Atmos. En- viron. 73, 185e194. Pui, D.Y.H., Chen, S.C., Zuo, Z., 2014. PM2.5 in China: measurements, sources, visi- bility and health effects, and mitigation. Particuology 13, 1e26. Ptak, T.J., Fallon, S.L., 1994. Particulate concentration in automobile passenger compartments. Part. Sci. Technol. 12, 313e322. Praml, G., Schierl, R., 2000. Dust exposure in Munich public transportation: a comprehensive 4-year survey in buses and trams. Int. Archives Occup. Environ. Health 73, 209e214. Onat, B., Stakeeva, B., 2013. Personal exposure of commuters in public transport to PM2.5 and fine particle counts. Atmos. Pollut. Res. 4, 329e335. Moreno, T., Reche, C., Rivas, I., Minguillon, M.C., Martins, V., Vargas, C., Buonanno, G., Parga, J., Pandolfi, M., Brines, M., Ealo, M., Fonseca, A.S., Amato, F., Sosa, G., Capdevila, M., Miguel, E., Querol, X., Gibbons, W., 2015. Urban air quality comparison for bus, tram, subway and pedestrian commutes in Barcelona. Environ. Res. 142, 495e510. Lonati, G., Ozgen, S., Ripamonti, G., Cernuschi, S., Giugliano, M., 2011. Pedestrian exposure to size-resolved particles in milan. J. Air & Waste Manag. Assoc. 61, 1273e1280. Levy, J., Dumyahn, T., Spengler, J.D., 2002. Particulate matter and polycyclic aromatic hydrocarbon concentration in indoor and outdoor microenvironments in Bos- ton, Massachusetts. J. Expo. Anal. Environ. Epidemiol. 12, 104e114. Lam, G.C.K., Leung, D.Y.C., Niewiadomski, M., Pang, S.W., Lee, A.W.F., Louie, P.K.K.