Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada. Issue 5 (14th October 2022)

• Record Type: Journal Article
• Authors: Zapata-Marin, Sara; Schmidt, Alexandra M.; Crouse, Dan; Ho, Vikki; Labrèche, France; Lavigne, Eric; Parent, Marie-Élise; Goldberg, Mark S.
• Is Part Of: Environmental epidemiology. Volume 6:Issue 5(2022)
• Page Start: e226
• Publication Date: 2022-10-14
• Subjects: Air pollution -- Monitoring -- Spatial statistics -- Volatile organic compounds; Epidemiology -- Periodicals; Epidemiology -- Environmental aspects -- Periodicals; 614.4
• DOI: 10.1097/EE9.0000000000000226
• Languages: English
• ISSNs: 2474-7882

Abstract

Abstract : Background: Volatile organic compounds (VOCs) are components of the complex mixture of air pollutants within cities and can cause various adverse health effects. Therefore, it is necessary to understand their spatial distribution for exposure assessment in epidemiological studies. Objectives: The objective was to model measured concentrations of five VOCs within the city of Montreal, Canada, developing spatial prediction models that can be used in health studies. Methods: We measured concentrations using 3M 3500 Organic Vapor Monitors, over 2-week periods, for three monitoring campaigns between 2005 and 2006 in over 130 locations in the city. Using GC/MSD (Gas Chromatography/Mass Selective Detector), we measured concentrations of benzene, n-decane, ethylbenzene, hexane, and trimethylbenzene. We fitted four different models that combine land-use regression and geostatistical methods to account for the potential spatial structure that remains after accounting for the land-use variables. The fitted models also accounted for possible variations in the concentration of air pollutants across campaigns. Results: The highest concentrations for all VOCs were found in December with hexane being the most abundant followed by ethylbenzene. We obtained predicted surfaces for the VOCs for the three campaigns and mean surfaces across campaigns. We found higher concentrations of some VOCs along highways and in the Eastern part of Montreal, which is a highly industrialized area. Conclusions: Each of the fitted models captured the spatial and across-campaigns variability for each VOC, and we found that different VOCs required different model structures.