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.
DiSIT, Università del Piemonte Orientale "Amedeo Avogadro", Viale Teresa Michel 11, 15121 Alessandria, Italy. Electronic address: dagnino@unipmn.it.
Alessandro
A
Dagnino
Tiziano
T
Bo
Andrea
A
Copetta
Stefano
S
Fenoglio
Caterina
C
Oliveri
Mauro
M
Bencivenga
Angelo
A
Felli
Aldo
A
Viarengo
D044822:Biodiversity; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005103:Expert Systems; D005618:Fresh Water / Q000032:analysis*; D019015:Geologic Sediments / Q000032:analysis* / Q000382:microbiology / Q000469:parasitology; D006801:Humans; D007558:Italy; D009152:Mutagenicity Tests; D045483:Rivers / Q000737:chemistry / Q000382:microbiology / Q000469:parasitology; D014874:Water Pollutants, Chemical / Q000032:analysis*
D014874:Water Pollutants, Chemical
Decision support system; Environmental risk assessment; Freshwater ecosystem management; Genotoxicity biomarker; Triad approach