Probabilistic ecological risk assessment of DDTs in the Bohai Bay based on a food web bioaccumulation model

Sci Total Environ. 2011 Jan 1;409(3):495-502. doi: 10.1016/j.scitotenv.2010.10.039. Epub 2010 Nov 13.

Abstract

The fugacity-based food web model was developed to simulate the bioaccumulation of dichloro-diphenyl-trichloroethanes (DDTs) in the aquatic ecosystem in the Bohai Bay. The internal exposure levels (IELs) of DDTs in various organism categories were calculated. Monte Carlo-based uncertainty analysis was performed to get the of IEL distributions of DDTs in organisms. Probabilistic ecological risk assessment (ERA) was performed based on IEL distributions and internal species sensitivity distributions (SSDs). The results show that fugacities and bioaccumulation factors (BAFs) generally increased with increasing trophic level in the food web. Octanol-water partition coefficient (K(ow)), DDT levels in water and the lipid contents had the greatest influences on IELs in the organism bodies. The ecological risks of DDTs were relatively high. The risk order was p,p'-DDT>p,p'-DDE>p,p'-DDD. At an internal hazard quotient (HQ(int)) criterion of 1/5, the risk probabilities were 0.10 (0.055-0.17), 0.079 (0.045-0.13) and 0.053 (0.028-0.092) for p,p'-DDT, p,p'-DDE and p,p'-DDD, respectively. The results from ERA based on the internal exposure approximated those based on external exposure. The food web model is a feasible method to predict the extent of bioaccumulation and IELs of hydrophobic organic pollutants in organisms as a step to evaluate their risk posed on aquatic ecosystems.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Aquatic Organisms / drug effects
  • China
  • DDT / analysis*
  • DDT / toxicity
  • Environmental Exposure / analysis*
  • Food Chain*
  • Geologic Sediments / chemistry
  • Models, Statistical*
  • Risk Assessment
  • Seawater / chemistry
  • Water Pollutants, Chemical / analysis*
  • Water Pollutants, Chemical / toxicity
  • Water Pollution, Chemical / statistics & numerical data

Substances

  • Water Pollutants, Chemical
  • DDT