Development and application of an innovative expert decision support system to manage sediments and to assess environmental risk in freshwater ecosystems.

With the aim of supporting decision makers to manage contamination in freshwater environments, an innovative expert decision support system (EDSS) was developed. The EDSS was applied in a sediment quality assessment along the Bormida river (NW, Italy) which has been heavily contaminated by an upstream industrial site for more than a century. Sampling sites were classified by means of comparing chemical concentrations with effect-based target values (threshold and probable effect concentrations). The level of each contaminant and the combined toxic pressure were used to rank sites into three categories: (i) uncontaminated (8 sites), (ii) mildly contaminated (4) and (iii) heavily contaminated (19). In heavily contaminated sediments, an environmental risk index (EnvRI) was determined by means of integrating chemical data with ecotoxicological and ecological parameters (triad approach). In addition a sediment risk index (SedRI) was computed from combining chemical and ecotoxicological data. Eight sites exhibited EnvRI values ≥0.25, the safety threshold level (range of EnvRI values: 0.14-0.31) whereas SedRI exceeded the safety threshold level at 6 sites (range of SedRI values: 0.16-0.36). At sites classified as mildly contaminated, sublethal biomarkers were integrated with chemical data into a biological vulnerability index (BVI), which exceeded the safety threshold level at one site (BVI value: 0.28). Finally, potential human risk was assessed in selected stations (11 sites) by integrating genotoxicity biomarkers (GTI index falling in the range 0.00-0.53). General conclusions drawn from the EDSS data include: (i) in sites classified as heavily contaminated, only a few exhibited some significant, yet limited, effects on biodiversity; (ii) restrictions in re-using sediments from heavily contaminated sites found little support in ecotoxicological data; (iii) in the majority of the sites classified as mildly contaminated, tested organisms exhibited low response levels; (iv) preliminary results on genotoxicity biomarkers indicate possible negative consequences for humans if exposed to river sediments from target areas.

[Cause-specific mortality in an area of Campania with numerous waste disposal sites]. / Mortalità per causa in un'area della Campania con numerose discariche di rifiuti.

OBJECTIVE: To investigate cause-specific mortality in an area of Campania region, in the surroundings of Naples, characterized by many toxic waste dumping grounds sites and by widespread burning of urban wastes. DESIGN: The study area was characterized by examining the spatial distribution of waste disposal sites and toxic waste dumping grounds, using a geographic information system (GIS). Mortality (1986-2000) was studied in the three municipalities of Giugliano in Campania, Qualiano and Villaricca, encompassing a population of about 150,000 inhabitants. Mortality rates of the population resident in the Campania region were used in order to generate expected figures. OUTCOMES: Causes of death of a priori interest where those previously associated to residence in the neighbourhood of (toxic) waste sites, including lung cancer, bladder cancer, leukemia and liver cancer. RESULTS: Overall 39 waste sites, 27 of which characterized by the likely presence of toxic wastes, were identified in the area of interest. A good agreement was found between two independent surveys of the Regional Environmental Protection Agency and of the environmentalist association Legambiente. Cancer mortality was significantly increased, with special reference to malignant neoplasm of lung, pleura, larynx, bladder, liver and brain. Circulatory diseases were also significantly in excess and diabetes showed some increases. CONCLUSIONS: Mortality statistics provide preliminary evidence of the disease load in the area. Mapping waste dumping grounds provides information for defining high risk areas. Improvements in exposure assessment together with the use of a range of health data (hospital discharge cards, malformation notifications, observations of general practitioners) will contribute to second generation studies aimed at inferring causal relationships.