Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Steeve Deschenes"'
1
Creating national air pollution models for population exposure assessment in Canada
Autor: Lok N. Lamsal, Paul A. Demers, Aaron van Donkelaar, Michael Jerrett, Eleanor Setton, Perry Hystad, Michael Brauer, Karla Poplawski, Steeve Deschenes, Randall V. Martin, Alejandro Cervantes
Publikováno v: Environmental Health Perspectives
Background: Population exposure assessment methods that capture local-scale pollutant variability are needed for large-scale epidemiological studies and surveillance, policy, and regulatory purposes. Currently, such exposure methods are limited. Meth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61edc054e31d0c0b7f59bc66f8ea38f1
https://doi.org/10.1289/ehp.1002976
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2
Identifying potential exposure reduction priorities using regional rankings based on emissions of known and suspected carcinogens to outdoor air in Canada
Autor: Karla Poplawski, Roz Cheasley, Steeve Deschenes, Eleanor Setton, Basil Veerman, C. Peter Keller, Paul A. Demers, Anders C. Erickson
Publikováno v: Environmental Health
Background Emissions inventories aid in understanding the sources of hazardous air pollutants and how these vary regionally, supporting targeted reduction actions. Integrating information on the relative toxicity of emitted pollutants with respect to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cab3ebc1d9cf6be4481d787dc6b9fdfa
https://pubmed.ncbi.nlm.nih.gov/26296989
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5
Modelling Arsenic and Lead Surface Soil Concentrations using Land Use Regression
Autor: Peter Keller, Paul A. Demers, Eleanor Setton, Steeve Deschenes
Publikováno v: E3S Web of Conferences, Vol 1, p 08004 (2013)
Land Use Regression (LUR) models are increasingly used in environmental and exposure assessments to predict the concentration of contaminants in outdoor air. We explore the use of LUR as an alternative to more complex models to predict the concentrat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8749eb15f2f1c825b62fa323029229ca
https://doi.org/10.1051/e3sconf/20130108004
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6
Exploring the Relationship between Surface and Subsurface Soil Concentrations of Heavy Metals using Geographically Weighted Regression
Autor: Paul A. Demers, Eleanor Setton, Steeve Deschenes, Peter Keller
Publikováno v: E3S Web of Conferences, Vol 1, p 35007 (2013)
Geographically Weighted Regression (GWR) is used to analyze the spatial variability of the relationship between the surface and the subsurface (b horizon) soil metal concentration. We used publiclyavailable soil samples from provincial government web
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ef93e35163407aa520d491c78a7643
https://doi.org/10.1051/e3sconf/20130135007
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