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London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting

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London Hybrid Exposure Model : Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting. / Smith, James David; Mitsakou, Christina; Kitwiroon, Nutthida; Barratt, Ben M.; Walton, Heather A.; Taylor, Jonathon G.; Anderson, Hugh Ross; Kelly, Frank J.; Beevers, Sean D.

In: Environmental Science and Technology, Vol. 50, No. 21, 01.11.2016, p. 11760-11768.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Smith, JD, Mitsakou, C, Kitwiroon, N, Barratt, BM, Walton, HA, Taylor, JG, Anderson, HR, Kelly, FJ & Beevers, SD 2016, 'London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting', Environmental Science and Technology, vol. 50, no. 21, pp. 11760-11768. https://doi.org/10.1021/acs.est.6b01817

APA

Smith, J. D., Mitsakou, C., Kitwiroon, N., Barratt, B. M., Walton, H. A., Taylor, J. G., ... Beevers, S. D. (2016). London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting. Environmental Science and Technology, 50(21), 11760-11768. https://doi.org/10.1021/acs.est.6b01817

Vancouver

Smith JD, Mitsakou C, Kitwiroon N, Barratt BM, Walton HA, Taylor JG et al. London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting. Environmental Science and Technology. 2016 Nov 1;50(21):11760-11768. https://doi.org/10.1021/acs.est.6b01817

Author

Smith, James David ; Mitsakou, Christina ; Kitwiroon, Nutthida ; Barratt, Ben M. ; Walton, Heather A. ; Taylor, Jonathon G. ; Anderson, Hugh Ross ; Kelly, Frank J. ; Beevers, Sean D. / London Hybrid Exposure Model : Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting. In: Environmental Science and Technology. 2016 ; Vol. 50, No. 21. pp. 11760-11768.

Bibtex - Download

@article{8ae74f0770e24fae9635a3a8b0d6ff72,
title = "London Hybrid Exposure Model: Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting",
abstract = "Here we describe the development of the London Hybrid Exposure Model (LHEM), which calculates exposure of the Greater London population to outdoor air pollution sources, in-buildings, in-vehicles, and outdoors, using survey data of when and where people spend their time. For comparison and to estimate exposure misclassification we compared Londoners LHEM exposure with exposure at the residential address, a commonly used exposure metric in epidemiological research. In 2011, the mean annual LHEM exposure to outdoor sources was estimated to be 37{\%} lower for PM2.5 and 63{\%} lower for NO2 than at the residential address. These decreased estimates reflect the effects of reduced exposure indoors, the amount of time spent indoors (∼95{\%}), and the mode and duration of travel in London. We find that an individual's exposure to PM2.5 and NO2 outside their residential address is highly correlated (Pearson's R of 0.9). In contrast, LHEM exposure estimates for PM2.5 and NO2 suggest that the degree of correlation is influenced by their exposure in different transport modes. Further development of the LHEM has the potential to increase the understanding of exposure error and bias in time-series and cohort studies and thus better distinguish the independent effects of NO2 and PM2.5.",
author = "Smith, {James David} and Christina Mitsakou and Nutthida Kitwiroon and Barratt, {Ben M.} and Walton, {Heather A.} and Taylor, {Jonathon G.} and Anderson, {Hugh Ross} and Kelly, {Frank J.} and Beevers, {Sean D.}",
year = "2016",
month = "11",
day = "1",
doi = "10.1021/acs.est.6b01817",
language = "English",
volume = "50",
pages = "11760--11768",
journal = "Environmental Science and Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "21",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - London Hybrid Exposure Model

T2 - Improving Human Exposure Estimates to NO2 and PM2.5 in an Urban Setting

AU - Smith, James David

AU - Mitsakou, Christina

AU - Kitwiroon, Nutthida

AU - Barratt, Ben M.

AU - Walton, Heather A.

AU - Taylor, Jonathon G.

AU - Anderson, Hugh Ross

AU - Kelly, Frank J.

AU - Beevers, Sean D.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - Here we describe the development of the London Hybrid Exposure Model (LHEM), which calculates exposure of the Greater London population to outdoor air pollution sources, in-buildings, in-vehicles, and outdoors, using survey data of when and where people spend their time. For comparison and to estimate exposure misclassification we compared Londoners LHEM exposure with exposure at the residential address, a commonly used exposure metric in epidemiological research. In 2011, the mean annual LHEM exposure to outdoor sources was estimated to be 37% lower for PM2.5 and 63% lower for NO2 than at the residential address. These decreased estimates reflect the effects of reduced exposure indoors, the amount of time spent indoors (∼95%), and the mode and duration of travel in London. We find that an individual's exposure to PM2.5 and NO2 outside their residential address is highly correlated (Pearson's R of 0.9). In contrast, LHEM exposure estimates for PM2.5 and NO2 suggest that the degree of correlation is influenced by their exposure in different transport modes. Further development of the LHEM has the potential to increase the understanding of exposure error and bias in time-series and cohort studies and thus better distinguish the independent effects of NO2 and PM2.5.

AB - Here we describe the development of the London Hybrid Exposure Model (LHEM), which calculates exposure of the Greater London population to outdoor air pollution sources, in-buildings, in-vehicles, and outdoors, using survey data of when and where people spend their time. For comparison and to estimate exposure misclassification we compared Londoners LHEM exposure with exposure at the residential address, a commonly used exposure metric in epidemiological research. In 2011, the mean annual LHEM exposure to outdoor sources was estimated to be 37% lower for PM2.5 and 63% lower for NO2 than at the residential address. These decreased estimates reflect the effects of reduced exposure indoors, the amount of time spent indoors (∼95%), and the mode and duration of travel in London. We find that an individual's exposure to PM2.5 and NO2 outside their residential address is highly correlated (Pearson's R of 0.9). In contrast, LHEM exposure estimates for PM2.5 and NO2 suggest that the degree of correlation is influenced by their exposure in different transport modes. Further development of the LHEM has the potential to increase the understanding of exposure error and bias in time-series and cohort studies and thus better distinguish the independent effects of NO2 and PM2.5.

UR - http://www.scopus.com/inward/record.url?scp=84993990169&partnerID=8YFLogxK

U2 - 10.1021/acs.est.6b01817

DO - 10.1021/acs.est.6b01817

M3 - Article

VL - 50

SP - 11760

EP - 11768

JO - Environmental Science and Technology

JF - Environmental Science and Technology

SN - 0013-936X

IS - 21

ER -