Risk-cost optimization under uncertainty for dredged material disposal

Disposal of contaminated dredged material may pose risks to ecological and human populations. These risks are highly uncertain. Measures to confine the dredged material and reduce these risks are likely to increase disposal costs. Risk and cost assessments for dredged material management alternatives often are associated with very large uncertainties. These uncertainties must be explicitly incorporated into risk-cost analysis to ensure that appropriate management alternatives are selected. However, considering these uncertainties may cause difficulties in decision making by making management alternatives effectively indistinguishable. A risk-cost analysis methodology that evaluates uncertainty directly in the decision framework is developed. A multicriteria decision-making method that incorporates uncertainties using fuzzy set theory is proposed to trade-off risks and costs (including uncertainties) so that disposal alternatives can be compared and selected.

[1]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[2]  R. Keeney,et al.  An illustrative example of the use of multiattribute utility theory for water resource planning , 1977 .

[3]  E. Downey Brill,et al.  A Branch and Bound Method for use in planning regional wastewater treatment systems , 1978 .

[4]  Donald C. Rhoads,et al.  The Effects of Marine Benthos on Physical Properties of Sediments , 1982 .

[5]  D. Rhoads,et al.  Characterization of Organism-Sediment Relations Using Sediment Profile Imaging: An Efficient Method of Remote Ecological Monitoring of the Seafloor (Remots System) , 1982 .

[6]  András Bárdossy,et al.  Application of MCDM to Geological Exploration Planning , 1983 .

[7]  M L Dourson,et al.  Regulatory history and experimental support of uncertainty (safety) factors. , 1983, Regulatory toxicology and pharmacology : RTP.

[8]  David T. Ford,et al.  Dredged‐Material Disposal Management Model , 1984 .

[9]  Shan-Huo Chen Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

[10]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[11]  Jean-Lou Chameau,et al.  Membership functions I: Comparing methods of measurement , 1987, Int. J. Approx. Reason..

[12]  W. Dong,et al.  Vertex method for computing functions of fuzzy variables , 1987 .

[13]  A. Bárdossy,et al.  Fuzzy regression in hydrology , 1990 .

[14]  Lucien Duckstein,et al.  Fuzzy set and probabilistic techniques for health-risk analysis , 1991 .

[15]  J. Ganoulis Engineering Risk Analysis of Water Pollution, Probabilities and Fuzzy Sets J. Am. Chem. Soc. 1995, 117, 11042 , 1994 .

[16]  J. Ganoulis Engineering risk analysis of water pollution , 1994 .

[17]  H. M. Keener,et al.  Contaminated Sediments in Ports and Waterways: Cleanup Strategies and Technologies , 1998 .