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Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources

BACKGROUND: Dioxins are environmental and persistent organic carcinogens with endocrine disrupting properties. A positive association with several cancers, including risk of breast cancer has been suggested. OBJECTIVES: This study aimed to develop and assess performances of an exposure metric based...

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Autores principales: Coudon, Thomas, Danjou, Aurélie Marcelle Nicole, Faure, Elodie, Praud, Delphine, Severi, Gianluca, Mancini, Francesca Romana, Salizzoni, Pietro, Fervers, Béatrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347831/
https://www.ncbi.nlm.nih.gov/pubmed/30683108
http://dx.doi.org/10.1186/s12940-019-0446-x
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author Coudon, Thomas
Danjou, Aurélie Marcelle Nicole
Faure, Elodie
Praud, Delphine
Severi, Gianluca
Mancini, Francesca Romana
Salizzoni, Pietro
Fervers, Béatrice
author_facet Coudon, Thomas
Danjou, Aurélie Marcelle Nicole
Faure, Elodie
Praud, Delphine
Severi, Gianluca
Mancini, Francesca Romana
Salizzoni, Pietro
Fervers, Béatrice
author_sort Coudon, Thomas
collection PubMed
description BACKGROUND: Dioxins are environmental and persistent organic carcinogens with endocrine disrupting properties. A positive association with several cancers, including risk of breast cancer has been suggested. OBJECTIVES: This study aimed to develop and assess performances of an exposure metric based on a Geographic Information System (GIS) through comparison with a validated dispersion model to estimate historical industrial dioxin exposure for its use in a case-control study nested within a prospective cohort. METHODS: Industrial dioxin sources were inventoried over the whole French territory (n > 2500) and annual average releases were estimated between 1990 and 2008. In three selected areas (rural, urban and urban-costal), dioxin dispersion was modelled using SIRANE, an urban Gaussian model and exposure of the French E3N cohort participants was estimated. The GIS-based metric was developed, calibrated and compared to SIRANE results using a set of parameters (local meteorological data, characteristics of industrial sources, e.g. emission intensity and stack height), by calculating weighted kappa statistics (wκ) and coefficient of determination (R(2)). Furthermore, as performance evaluation, the final GIS-based metric was tested to assess atmospheric exposure to cadmium. RESULTS: The concordance between the GIS-based metric and the dispersion model for dioxin exposure estimate was strong (wκ median = 0.78 (1st quintile = 0.72, 3rd quintile =0.82) and R(2) median = 0.82 (1st quintile = 0.71, 3rd quintile = 0.87)). We observed similar performance for cadmium. CONCLUSIONS: Our study demonstrated the ability of the GIS-based metric to reliably characterize long-term environmental dioxin and cadmium exposures as well as the pertinence of using dispersion modelling to construct and calibrate the GIS-based metric. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0446-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-63478312019-01-30 Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources Coudon, Thomas Danjou, Aurélie Marcelle Nicole Faure, Elodie Praud, Delphine Severi, Gianluca Mancini, Francesca Romana Salizzoni, Pietro Fervers, Béatrice Environ Health Methodology BACKGROUND: Dioxins are environmental and persistent organic carcinogens with endocrine disrupting properties. A positive association with several cancers, including risk of breast cancer has been suggested. OBJECTIVES: This study aimed to develop and assess performances of an exposure metric based on a Geographic Information System (GIS) through comparison with a validated dispersion model to estimate historical industrial dioxin exposure for its use in a case-control study nested within a prospective cohort. METHODS: Industrial dioxin sources were inventoried over the whole French territory (n > 2500) and annual average releases were estimated between 1990 and 2008. In three selected areas (rural, urban and urban-costal), dioxin dispersion was modelled using SIRANE, an urban Gaussian model and exposure of the French E3N cohort participants was estimated. The GIS-based metric was developed, calibrated and compared to SIRANE results using a set of parameters (local meteorological data, characteristics of industrial sources, e.g. emission intensity and stack height), by calculating weighted kappa statistics (wκ) and coefficient of determination (R(2)). Furthermore, as performance evaluation, the final GIS-based metric was tested to assess atmospheric exposure to cadmium. RESULTS: The concordance between the GIS-based metric and the dispersion model for dioxin exposure estimate was strong (wκ median = 0.78 (1st quintile = 0.72, 3rd quintile =0.82) and R(2) median = 0.82 (1st quintile = 0.71, 3rd quintile = 0.87)). We observed similar performance for cadmium. CONCLUSIONS: Our study demonstrated the ability of the GIS-based metric to reliably characterize long-term environmental dioxin and cadmium exposures as well as the pertinence of using dispersion modelling to construct and calibrate the GIS-based metric. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0446-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-25 /pmc/articles/PMC6347831/ /pubmed/30683108 http://dx.doi.org/10.1186/s12940-019-0446-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Coudon, Thomas
Danjou, Aurélie Marcelle Nicole
Faure, Elodie
Praud, Delphine
Severi, Gianluca
Mancini, Francesca Romana
Salizzoni, Pietro
Fervers, Béatrice
Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title_full Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title_fullStr Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title_full_unstemmed Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title_short Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources
title_sort development and performance evaluation of a gis-based metric to assess exposure to airborne pollutant emissions from industrial sources
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347831/
https://www.ncbi.nlm.nih.gov/pubmed/30683108
http://dx.doi.org/10.1186/s12940-019-0446-x
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