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Int. J. Environ. Res. Public Health 2017, 14(3), 291; doi:10.3390/ijerph14030291

Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities

INERIS (French National Institute for Industrial Environment and Risks), 60550 Verneuil-en-Halatte, France
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Academic Editors: Jayajit Chakraborty, Sara E. Grineski and Timothy W. Collins
Received: 2 December 2016 / Revised: 23 February 2017 / Accepted: 8 March 2017 / Published: 10 March 2017
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Abstract

The study explores spatial data processing methods and the associated impact on the characterization and quantification of a combined health risk indicator at a regional scale and at fine resolution. To illustrate the methodology of combining multiple publicly available data sources, we present a case study of the Lorraine region (France), where regional stakeholders were involved in the global procedures for data collection and organization. Different indicators are developed by combining technical approaches for assessing and characterizing human health exposure to chemical substances (in soil, air and water) and noise risk factors. The results permit identification of pollutant sources, determinants of exposure, and potential hotspot areas. A test of the model’s assumptions to changes in sub-indicator spatial distribution showed the impact of data transformation on identifying more impacted areas. Cumulative risk assessment permits the combination of quantitative and qualitative evaluation of health risks by including stakeholders in the decision process, helping to define a subjective conceptual analysis framework or assumptions when uncertainties or knowledge gaps operate. View Full-Text
Keywords: cumulative; exposure; spatial; environmental inequalities cumulative; exposure; spatial; environmental inequalities
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MDPI and ACS Style

Caudeville, J.; Ioannidou, D.; Boulvert, E.; Bonnard, R. Cumulative Risk Assessment in the Lorraine Region: A Framework to Characterize Environmental Health Inequalities. Int. J. Environ. Res. Public Health 2017, 14, 291.

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