Développement d’un modèle multimédia stochastique pour évaluer l’exposition spatialisée de la population à l’échelle régionale

Abstract : Analyzing the relationship between environment and health has become a major preoccupation for public health in France as evidenced by the national action plans for health and environment. The aim of the study is to develop a spatial stochastic multimedia exposure model for detecting vulnerable populations and analyzing exposure determinants at a fine resolution and regional scale. A multimedia exposure model was developed by INERIS to assess the transfer of substances from the environment to human. The RESPIR project adds a spatial dimension by linking a GIS (Geographic Information System) to the model. Tools are developed using modeling, spatial analysis and geostatistic methods to build interesting variables on a 1 km2 regular grid. As application, INERIS performed a risk assessment of exposure to metals (cadmium, lead and nickel). The modeling was performed on a region of France (Nord-Pas-de-Calais). The considered exposure pathways include inhalation and ingestion. The two largest risk values correspond to an ancient industrial site (Metaleurop) and to the Lille city agglomeration. In these areas, cadmium, vegetation ingestion and soil contamination are the principal determinants of the computed risk.
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Julien Caudeville, Roseline Bonnard, Céline Boudet. Développement d’un modèle multimédia stochastique pour évaluer l’exposition spatialisée de la population à l’échelle régionale. Rapport Scientifique INERIS, 2013, 2012-2013, pp.56-57. ⟨ineris-01869464⟩

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