| Title: | "Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada" |
| Author(s): | Zapata-Marin S; Schmidt AM; Crouse D; Ho V; Labreche F; Lavigne E; Parent ME; Goldberg MS; |
| Address: | "Quantitative Life Sciences, McGill University, Montreal, Quebec, Canada. Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada. Health Effects Institute, Boston, Massachusetts. Health Innovation and Evaluation Hub, Universite de Montreal, Hospital Research Centre (CRCHUM), Montreal, Quebec, Canada. Department of Social and Preventive Medicine, Ecole de sante publique de l'Universite de Montreal (ESPUM), Montreal, Quebec, Canada. Department of Environmental and Occupational Health, Ecole de sante publique de l'Universite de Montreal (ESPUM), Montreal, Quebec, Canada. Air Health Science Division and Population Studies Division, Health Canada, Ottawa, Ontario, Canada. School of Epidemiology & Public Health, University of Ottawa, Ottawa, Ontario, Canada. Epidemiology and Biostatistics Unit, Centre Armand-Frappier Sante Biotechnologie, Institut national de la recherche scientifique, Universite du Quebec, Laval, Quebec, Canada. Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada. Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada. Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Hospital Centre, Montreal, Quebec, Canada" |
| DOI: | 10.1097/EE9.0000000000000226 |
| ISSN/ISBN: | 2474-7882 (Electronic) 2474-7882 (Linking) |
| Abstract: | "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" |
| Keywords: | Air pollution Monitoring Spatial statistics Volatile organic compounds; |
| Notes: | "PubMed-not-MEDLINEZapata-Marin, Sara Schmidt, Alexandra M Crouse, Dan Ho, Vikki Labreche, France Lavigne, Eric Parent, Marie-Elise Goldberg, Mark S eng 2022/10/18 Environ Epidemiol. 2022 Sep 14; 6(5):e226. doi: 10.1097/EE9.0000000000000226. eCollection 2022 Oct" |
