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Analysis of air quality within a street canyon using statistical and dispersion modelling techniques

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Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. / Westmoreland, Emily J.; Carslaw, Nicola; Carslaw, David C.; Gillah, Andrew; Bates, Elizabeth.

In: Atmospheric Environment, Vol. 41, No. 39, 12.2007, p. 9195-9205.

Research output: Contribution to journalArticle

Harvard

Westmoreland, EJ, Carslaw, N, Carslaw, DC, Gillah, A & Bates, E 2007, 'Analysis of air quality within a street canyon using statistical and dispersion modelling techniques', Atmospheric Environment, vol. 41, no. 39, pp. 9195-9205. https://doi.org/10.1016/j.atmosenv.2007.07.057

APA

Westmoreland, E. J., Carslaw, N., Carslaw, D. C., Gillah, A., & Bates, E. (2007). Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. Atmospheric Environment, 41(39), 9195-9205. https://doi.org/10.1016/j.atmosenv.2007.07.057

Vancouver

Westmoreland EJ, Carslaw N, Carslaw DC, Gillah A, Bates E. Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. Atmospheric Environment. 2007 Dec;41(39):9195-9205. https://doi.org/10.1016/j.atmosenv.2007.07.057

Author

Westmoreland, Emily J. ; Carslaw, Nicola ; Carslaw, David C. ; Gillah, Andrew ; Bates, Elizabeth. / Analysis of air quality within a street canyon using statistical and dispersion modelling techniques. In: Atmospheric Environment. 2007 ; Vol. 41, No. 39. pp. 9195-9205.

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@article{6f4e6c98cefb48178b4dd09fefe00b26,
title = "Analysis of air quality within a street canyon using statistical and dispersion modelling techniques",
abstract = "The dispersion model, ADMS-Urban, alongside the statistical modelling technique, generalized additive modelling, have been used to predict hourly NO x and nitrogen dioxide (NO 2) concentrations at a busy street canyon location and the results compared with measurements. Generalized additive models (GAMs) were constructed for NO 2 and NO x concentrations using input data required to run ADMS-Urban. Bivariate polar plots have been produced from the wind flow (speed and direction) and pollution data (measured and predicted concentrations) to provide further information regarding the complex wind-pollutant interactions in an urban street canyon. The predictions made with the GAMs show excellent agreement with measured concentrations at this location, reproducing both the magnitude of NO x and NO 2 concentrations and also the wind speed-wind direction dependence of pollutant sources within the canyon. However, the predictions made with ADMS-Urban under-estimated the measured NO x by 11{\%} and NO 2 by 21{\%} and there are clear differences in the bivariate polar plots. Several sensitivity tests were carried out with ADMS-Urban in an attempt to produce predictions in closer agreement to those measured at Gillygate. Increasing the primary NO 2 fraction in ADMS-Urban (from 10{\%} to 20{\%}) had a considerable effect on the predictions made with this model, increasing NO 2 predictions by ∼20{\%}. However, the bivariate plots still showed major differences to those of the measurements. This work illustrates that generalized additive modelling is a useful tool for investigating complex wind-pollutant interactions within a street canyon. {\circledC} 2007 Elsevier Ltd. All rights reserved.",
keywords = "ADMS-Urban, Generalized additive models, NO, Urban air quality",
author = "Westmoreland, {Emily J.} and Nicola Carslaw and Carslaw, {David C.} and Andrew Gillah and Elizabeth Bates",
note = "Cited By :24 Export Date: 19 July 2016",
year = "2007",
month = "12",
doi = "10.1016/j.atmosenv.2007.07.057",
language = "English",
volume = "41",
pages = "9195--9205",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Elsevier Limited",
number = "39",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Analysis of air quality within a street canyon using statistical and dispersion modelling techniques

AU - Westmoreland, Emily J.

AU - Carslaw, Nicola

AU - Carslaw, David C.

AU - Gillah, Andrew

AU - Bates, Elizabeth

N1 - Cited By :24 Export Date: 19 July 2016

PY - 2007/12

Y1 - 2007/12

N2 - The dispersion model, ADMS-Urban, alongside the statistical modelling technique, generalized additive modelling, have been used to predict hourly NO x and nitrogen dioxide (NO 2) concentrations at a busy street canyon location and the results compared with measurements. Generalized additive models (GAMs) were constructed for NO 2 and NO x concentrations using input data required to run ADMS-Urban. Bivariate polar plots have been produced from the wind flow (speed and direction) and pollution data (measured and predicted concentrations) to provide further information regarding the complex wind-pollutant interactions in an urban street canyon. The predictions made with the GAMs show excellent agreement with measured concentrations at this location, reproducing both the magnitude of NO x and NO 2 concentrations and also the wind speed-wind direction dependence of pollutant sources within the canyon. However, the predictions made with ADMS-Urban under-estimated the measured NO x by 11% and NO 2 by 21% and there are clear differences in the bivariate polar plots. Several sensitivity tests were carried out with ADMS-Urban in an attempt to produce predictions in closer agreement to those measured at Gillygate. Increasing the primary NO 2 fraction in ADMS-Urban (from 10% to 20%) had a considerable effect on the predictions made with this model, increasing NO 2 predictions by ∼20%. However, the bivariate plots still showed major differences to those of the measurements. This work illustrates that generalized additive modelling is a useful tool for investigating complex wind-pollutant interactions within a street canyon. © 2007 Elsevier Ltd. All rights reserved.

AB - The dispersion model, ADMS-Urban, alongside the statistical modelling technique, generalized additive modelling, have been used to predict hourly NO x and nitrogen dioxide (NO 2) concentrations at a busy street canyon location and the results compared with measurements. Generalized additive models (GAMs) were constructed for NO 2 and NO x concentrations using input data required to run ADMS-Urban. Bivariate polar plots have been produced from the wind flow (speed and direction) and pollution data (measured and predicted concentrations) to provide further information regarding the complex wind-pollutant interactions in an urban street canyon. The predictions made with the GAMs show excellent agreement with measured concentrations at this location, reproducing both the magnitude of NO x and NO 2 concentrations and also the wind speed-wind direction dependence of pollutant sources within the canyon. However, the predictions made with ADMS-Urban under-estimated the measured NO x by 11% and NO 2 by 21% and there are clear differences in the bivariate polar plots. Several sensitivity tests were carried out with ADMS-Urban in an attempt to produce predictions in closer agreement to those measured at Gillygate. Increasing the primary NO 2 fraction in ADMS-Urban (from 10% to 20%) had a considerable effect on the predictions made with this model, increasing NO 2 predictions by ∼20%. However, the bivariate plots still showed major differences to those of the measurements. This work illustrates that generalized additive modelling is a useful tool for investigating complex wind-pollutant interactions within a street canyon. © 2007 Elsevier Ltd. All rights reserved.

KW - ADMS-Urban

KW - Generalized additive models

KW - NO

KW - Urban air quality

UR - http://www.scopus.com/inward/record.url?scp=36849004578&partnerID=8YFLogxK

U2 - 10.1016/j.atmosenv.2007.07.057

DO - 10.1016/j.atmosenv.2007.07.057

M3 - Article

VL - 41

SP - 9195

EP - 9205

JO - Atmospheric Environment

T2 - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

IS - 39

ER -