Spatialisation des inégalités environnementales dans une démarche de caractérisation de l'exposome

Abstract : Analyzing the relationship between the environment and health has become a major focus of public health efforts in France, as evidenced by the national action plans for health and the environment. These plans have identified the following two priorities : - identify and manage geographic areas where hotspot exposures are a potential risk to human health ; and - reduce exposure inequalities. The aim of this study is to build spatial exposure indicators using a spatial stochastic multimedia exposure model for detecting vulnerable populations and analyzing exposure determinants at a fine resolution and national scale. A multimedia exposure model was developed by INERIS to assess the transfer of substances from the environment to humans through inhalation and ingestion pathways. The PLAINE platform adds a spatial dimension by linking GIS (Geographic Information System) to the model. Tools are developed using modeling, spatial analysis and geostatistical methods to build and discretize interesting variables and indicators from different supports and resolutions on a 9-km2 regular grid. We applied this model to the risk assessment of exposure to PAH (Polycyclic Aromatic Hydrocarbons) using national databases. The results will permit to estimate ingestion exposure pathway contributions based on exposure scenarios defined for two different referent groups (age, dietary properties, and the fraction of food produced locally).
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Journal articles
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  • HAL Id : ineris-01869625, version 1

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Julien Caudeville, Laure Malherbe. Spatialisation des inégalités environnementales dans une démarche de caractérisation de l'exposome. Rapport Scientifique INERIS, 2016, 2015-2016, pp.42-43. ⟨ineris-01869625⟩

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