• Title of article

    A comparison of sediment quality guidelines for toxicity assessment in the Sunderban wetlands (Bay of Bengal, India) Original Research Article

  • Author/Authors

    Andrea Binelli، نويسنده , , Santosh Kumar Sarkar، نويسنده , , Mousumi Chatterjee، نويسنده , , Consuelo Riva، نويسنده , , Marco Parolini، نويسنده , , Bhaskar deb Bhattacharya، نويسنده , , Asok Kumar Bhattacharya، نويسنده , , Kamala Kanta Satpathy، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    9
  • From page
    1129
  • To page
    1137
  • Abstract
    The aim of this paper was to obtain the first screening ecotoxicological risk evaluation in the Sunderban wetlands, the largest prograding delta in the estuarine phase of the River Ganges. The characterization of exposure was conducted by means of an extensive survey of several persistent organic pollutants (PAHs, PCBs, DDTs, PBDEs, HCHs, HCB) measured in seven core sediments from the Sunderban wetlands, obtaining a dataset with more than 2200 analyses. The pollutant effects were assessed by the use of three different sediment quality guidelines (SQGs) previously developed in the literature to evaluate toxicity induced in sediment-dwelling organisms. The three different approaches chosen for risk assessment of the Sunderban were the consensus SQGs obtained by TEC (threshold effect concentration), PEC (probable effect concentration) and EEC (extreme effect concentration), the threshold/probable effect level (TEL/PEL) approach and, finally, the ERL-ERM guidelines, including the m-ERM-Q (mean ERM quotient). The evaluation of the toxicity induced by a mixture of the target pollutants indicated the importance of γ-HCH contamination in the Sunderban sediments despite the very low concentrations measured in core sediments. A different sensitivity for toxicity assessment due to quality guidelines was obtained, as the consensus SQGs based on TEC were less conservative and protective than the TEL and ERL approaches, while the use of m-ERM-Q seems to be the most powerful tool to predict the toxicity related to a contaminant mixture.
  • Keywords
    River GangesERASedimentsPOPsSQGs
  • Journal title
    Chemosphere
  • Serial Year
    2008
  • Journal title
    Chemosphere
  • Record number

    726585