Literature DB >> 11712603

Fine particle (PM2.5) personal exposure levels in transport microenvironments, London, UK.

H S Adams1, M J Nieuwenhuijsen, R N Colvile, M A McMullen, P Khandelwal.   

Abstract

In order to investigate a specific area of short-term, non-occupational, human exposure to fine particulate air pollution, measurements of personal exposure to PM2.5 in transport microenvironments were taken in two separate field studies in central London, UK. A high flow gravimetric personal sampling system was used; operating at 16 l min(-1); the sampler thus allowed for sufficient sample mass collection for accurate gravimetric analysis of short-term travel exposure levels over typical single commute times. In total, samples were taken on 465 journeys and 61 volunteers participated. In a multi-transport mode study, carried out over 3-week periods in the winter and in the summer, exposure levels were assessed along three fixed routes at peak and off-peak times of the day. Geometric means of personal exposure levels were 34.5 microg m(-3) (G.S.D.= 1.7, n(s) = 40), 39.0 microg m(-3) (G.S.D. = 1.8, n(s) = 36), 37.7 microg m(-3) (G.S.D. = 1.5, n(s) = 42), and 247.2 microg m(-3) (G.S.D. = 1.3, n(s) = 44) for bicycle, bus, car and Tube (underground rail system) modes, respectively, in the July 1999 (summer) measurement campaign. Corresponding levels in the February 2000 (winter) measurement campaign were 23.5 microg m(-3) (G.S.D. = 1.8, n(s) = 56), 38.9 microg m(-3) (G.S.D. = 2.1, n(s) = 32), 33.7 microg m(-3) (G.S.D. = 2.4, n(s) = 12), and 157.3 microg m(-3) (G.S.D. = 3.3, n(s) = 12), respectively. In a second study, exposure levels were measured for a group of 24 commuters travelling by bicycle, during August 1999, in order to assess how representative the fixed route studies were to a larger commuter population. The geometric mean exposure level was 34.2 microg m(-3) (G.S.D. = 1.9, n(s) = 105). In the fixed-route study, the cyclists had the lowest exposure levels, bus and car were slightly higher, while mean exposure levels on the London Underground rail system were 3-8 times higher than the surface transport modes. There was significant between-route variation, most notably between the central route and the other routes. The fixed-route study exposure was similar in level and in variability to the 'real' commuters study, suggesting that the routes chosen and the number of samples taken provided a reasonably good estimate of the personal exposure levels in the transport microenvironments of Central London. This first comprehensive PM2.5 multi-mode transport user exposure assessment study in the UK also showed that mean personal exposure levels in road transport modes were approximately double that of the PM2.5 concentration at an urban background fixed site monitor.

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Year:  2001        PMID: 11712603     DOI: 10.1016/s0048-9697(01)00723-9

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  41 in total

1.  Elevated airborne exposures of teenagers to manganese, chromium, and iron from steel dust and New York City's subway system.

Authors:  Steven N Chillrud; David Epstein; James M Ross; Sonja N Sax; Dee Pederson; John D Spengler; Patrick L Kinney
Journal:  Environ Sci Technol       Date:  2004-02-01       Impact factor: 9.028

2.  Steel dust in the New York City subway system as a source of manganese, chromium, and iron exposures for transit workers.

Authors:  Steven N Chillrud; David Grass; James M Ross; Drissa Coulibaly; Vesna Slavkovich; David Epstein; Sonja N Sax; Dee Pederson; David Johnson; John D Spengler; Patrick L Kinney; H James Simpson; Paul Brandt-Rauf
Journal:  J Urban Health       Date:  2005-02-28       Impact factor: 3.671

3.  The London Underground: dust and hazards to health.

Authors:  A Seaton; J Cherrie; M Dennekamp; K Donaldson; J F Hurley; C L Tran
Journal:  Occup Environ Med       Date:  2005-06       Impact factor: 4.402

4.  Developing air exchange rate models by evaluating vehicle in-cabin air pollutant exposures in a highway and tunnel setting: case study of Tehran, Iran.

Authors:  Mohammad Nayeb Yazdi; Mohammad Arhami; Maryam Delavarrafiee; Mehdi Ketabchy
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-07       Impact factor: 4.223

5.  Perception and reality of particulate matter exposure in New York City taxi drivers.

Authors:  Francesca Gany; Sehrish Bari; Lakshmi Prasad; Jennifer Leng; Trevor Lee; George D Thurston; Terry Gordon; Sudha Acharya; Judith T Zelikoff
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-05-11       Impact factor: 5.563

6.  Predicting regional space-time variation of PM2.5 with land-use regression model and MODIS data.

Authors:  Liang Mao; Youliang Qiu; Claudia Kusano; Xiaohui Xu
Journal:  Environ Sci Pollut Res Int       Date:  2011-06-23       Impact factor: 4.223

7.  Feasibility of using social media to monitor outdoor air pollution in London, England.

Authors:  Yulin Hswen; Qiuyuan Qin; John S Brownstein; Jared B Hawkins
Journal:  Prev Med       Date:  2019-02-08       Impact factor: 4.018

8.  Predicting Airborne Particle Levels Aboard Washington State School Buses.

Authors:  Sara D Adar; Mark Davey; James R Sullivan; Michael Compher; Adam Szpiro; L-J Sally Liu
Journal:  Atmos Environ (1994)       Date:  2008-10       Impact factor: 4.798

9.  Commuters' exposure to particulate matter air pollution is affected by mode of transport, fuel type, and route.

Authors:  Moniek Zuurbier; Gerard Hoek; Marieke Oldenwening; Virissa Lenters; Kees Meliefste; Peter van den Hazel; Bert Brunekreef
Journal:  Environ Health Perspect       Date:  2010-02-25       Impact factor: 9.031

Review 10.  Do the health benefits of cycling outweigh the risks?

Authors:  Jeroen Johan de Hartog; Hanna Boogaard; Hans Nijland; Gerard Hoek
Journal:  Environ Health Perspect       Date:  2010-06-11       Impact factor: 9.031

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