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The transferability of NO and NO² land use regression models between cities and pollutants

Citation

Allen, RW and Amram, O and Wheeler, AJ and Brauer, M, The transferability of NO and NO² land use regression models between cities and pollutants, Atmospheric Environment, 45 pp. 369-378. ISSN 1352-2310 (2011) [Refereed Article]

Copyright Statement

Copyright 2010 Elsevier Ltd.

DOI: doi:10.1016/j.atmosenv.2010.10.002

Abstract

Land use regression (LUR) models are commonly used for exposure assessment in epidemiologic studies of traffic-related air pollution. Models in different cities often contain similar predictors, suggesting that models may be transferable between cities with similar characteristics. LUR models of NO or NO2 may also be useful for estimating exposure to other pollutants in the traffic pollution mixture. We evaluated the transferability of NO and NO2 LUR models between Winnipeg, Manitoba and Edmonton, Alberta, and the ability of the Winnipeg NO and NO2 LUR models to predict concentrations of benzene and toluene. In both cities, LUR models were developed based on measurements with Ogawa passive samplers at 50 locations during two 14-day sampling campaigns, while benzene and toluene concentrations in Winnipeg were measured at 46 independent locations using 3M #3500 passive badges during a single 14-day period. Locally calibrated LUR models explained more variability in NO2 (R2: 0.81e0.84) than NO(R2: 0.55e0.56). Although models transferred to the opposite city did not perform as well as the locally calibrated models for NO2 (R2: 0.37e0.52) or NO (R2: 0.24e0.41), the transferred models explained more variability than simple binary or continuous road proximity metrics (R2  0.19), which are commonly used in epidemiologic studies. In Winnipeg, the NO2 LUR model explained 34% and 19% of the variation in benzene and toluene, respectively, while road proximity metrics explained 19% of the variation in both pollutants. In conclusion, epidemiologic studies will achieve better exposure assessments by developing LUR models locally and for the pollutant of interest, though transferred LUR models may provide a cost-effective improvement over road proximity metrics for assessing exposure to trafficrelated air pollution.

Item Details

Item Type:Refereed Article
Keywords:Air pollution, Traffic, Geographic information systems (GIS), Benzene, Toluene
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Environmental and Occupational Health and Safety
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Environmental Health
Author:Wheeler, AJ (Dr Amanda Wheeler)
ID Code:101112
Year Published:2011
Web of Science® Times Cited:31
Deposited By:Menzies Institute for Medical Research
Deposited On:2015-06-10
Last Modified:2015-09-17
Downloads:0

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