Applicability of a neuroprobabilistic integral risk index for the environmental management of polluted areas: a case study

Risk Analysis : an Official Publication of the Society for Risk Analysis
Martí NadalJ L Domingo

Abstract

Recently, we developed a GIS-Integrated Integral Risk Index (IRI) to assess human health risks in areas with presence of environmental pollutants. Contaminants were previously ranked by applying a self-organizing map (SOM) to their characteristics of persistence, bioaccumulation, and toxicity in order to obtain the Hazard Index (HI). In the present study, the original IRI was substantially improved by allowing the entrance of probabilistic data. A neuroprobabilistic HI was developed by combining SOM and Monte Carlo analysis. In general terms, the deterministic and probabilistic HIs followed a similar pattern: polychlorinated biphenyls (PCBs) and light polycyclic aromatic hydrocarbons (PAHs) were the pollutants showing the highest and lowest values of HI, respectively. However, the bioaccumulation value of heavy metals notably increased after considering a probability density function to explain the bioaccumulation factor. To check its applicability, a case study was investigated. The probabilistic integral risk was calculated in the chemical/petrochemical industrial area of Tarragona (Catalonia, Spain), where an environmental program has been carried out since 2002. The risk change between 2002 and 2005 was evaluated on the bas...Continue Reading

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Citations

May 1, 2012·Environmental Science and Pollution Research International·Alícia Navarro-OrtegaDamià Barceló
Jul 3, 2013·Journal of Hazardous Materials·Francesc FàbregaMartí Nadal
Jul 8, 2008·Environment International·Martí NadalJosé L Domingo
Mar 22, 2015·Environmental Research·German Cano-SanchoJosé L Domingo
Feb 12, 2021·International Journal of Environmental Research and Public Health·Vikas Kumar, Saurav Kumar

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