A regional approach to the environmental risk assessment - Human health risk assessment case study in the Campania region

Environmental quality is fundamental for the wellbeing of human life. Environmental risk assessment and analysis have a crucial role in the evaluation of human health risk, especially in intensive urbanized and industrialized areas, such as the Campania region (Italy). In Italy, after the Legislative Decree 152/2006, the environmental risk assessment has become mandatory for contaminated lands such as brownfield sites. For the purposes of the present study 3535 topsoil samples were collected across the whole regional territory. The concentrations of 53 elements have been determined by aqua regia extraction followed by a combination of ICP-MS and ICP-AES methods. A new approach to assess/rank environmental risk was applied by using geospatial analysis in a GIS platform to adapt a European-wide accepted methodology for the preliminary assessment of human health risks at single contaminated sites to a regional scale. The methodology chosen for the risk assessment procedures is the PRA. MS (Preliminary Risk AssessmentModel for the identification and assessment of probelm areas for Soil contamination in Europe). Following the PRA. MS guidelines, a conceptual model for the human health risk assessment in the Campania region has been based on four different exposure routes: 1) dispersion of contaminants in groundwater, 2) dispersion in surface water, 3) dispersion in air, and 4) direct contactwith the contaminatedmedia (soil). The source, pathway and receptor for each exposure route are scored fusing a quantitative or qualitative analysis of some characteristic features (parameters). A total of 14 representative parameters were chosen, based on the available regional data for Campania. Starting from the values of these parameters, the information is aggregated to higher levels in several steps, adopting a mixed additive and multiplicative algorithm, up to the overall risk score. The final risk map is classified into four risk classes. This map is useful for identifying high risk areas, where monitoring and more detailed analysis has to be carried out. (C) 2016 Elsevier B.V. All rights reserved.