Abstract
A remedial action design system is described that may be used to evaluate candidate remediation systems and select the preferred alternative under conditions of uncertainty. The remedial action design method is based on the ability to evaluate system alternatives within the framework of a multiple-objective decision making scheme. The methodology considers uncertainty in system performance as an element of the decision making process by using geostatistical conditional simulation to generate model input. A two-dimensional computer modeling of candidate remediation schemes is used to model the transport of contaminants, and predict the performance of each candidate system.
Composite programming is used for the multiple-objective decision making portion of the design system. Measures of system performance include average mass of contamination pumped and treated, average mass remaining in the aquifer after terminating operations, and average mass exiting the study area via boundaries. Uncertainty in system performance, or the risk of a system not performing according to predicted standards, is measured by computing the variance and coefficient of variation for each of the previous indexes. In addition, the operation horizon and modeled contamination levels at a hypothetical compliance surface serve as additional performance measures. Total costs for each option were estimated and incorporated into the remediation planning.
A case study is examined in which a preferred remedial action plan is identified from a set of alternatives for removing a plume of contaminated ground water emanating from an uncontrolled hazardous waste site near a radioactive waste reprocessing facility.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andricevic, R., and Kitanidis, P.K., 1990, Optimization of the Pumping Schedule in Aquifer Remediation Under Uncertainty, Water Resources Research, Vol.26, No.5, pp. 875–885.
Bogardi, I., Duckstein, L., and Bardossy, A., 1984, Trade-Off Between Cost and Efficiency of Pollution Control, in Proceedings Sixth International Conference on Multiple Criteria Decision Making, Cleveland, Ohio.
Bogardi, I., Bardossy, A., and Duckstein, L., 1985, Multicriterion Network Design Using Geostatistics, Water Resources Research, Vol.21, No.2, pp. 199–208.
Brooker, P.I., 1985, Two-Dimensional Simulation by Turning Bands, Mathematical Geology, Vol.17, No.l, pp. 81–90.
Cohon, J.L., 1978, Multiobjective Programming and Planning, Academic Press, New York.
Duckstein, L., and Opricovic, S., 1980, Multiobjective Optimization in River Basin Developments, Water Resources Research, Vol.16, No.l, pp. 14–20.
Futagami, T., Tamai, N., and Yatsuzuka, M., 1976, FEM Coupled With LP for Water Pollution Control, Journal of Hydraulics Division, American Society of Civil Engineers, Vol.102, pp. 881–897.
Gorelick, S.M., and Remson, I., 1982a, Optimal Location and Management of Waste Disposal Facilities Affecting Groundwater Quality, Water Resources Bulletin, Vol. 18, No.l, pp. 43–51.
Gorelick, S.M., and Remson, I., 1982b, Optimal Dynamic Management of Groundwater Pollution Sources, Water Resources Research, Vol.18, No.l, pp. 71–76.
Gorelick, S.M., Remson, I., and Cottle, R.W., 1979, Management Model of a Groundwater System with a Transient Pollutant Source, Water Resources Research, Vol.15, No.5, pp. 1243–1249.
Haimes, Y.Y., Hall, W.A., and Freedman, H.T., 1975, Multiobjective Optimization in Water Resources Systems: The Surrogate Worth Trade-Off Method, Elsevier Publishing Co., New York.
Journel, A.G., and Huijbregts, 1978, Gh.J. Mining Geostatistics, Academic Press, Orlando, Florida.
Klir, G.J., and Folger, T.A., 1988, Fuzzy Sets, Uncertainty, and Information, Prentice Hall, New Jersey.
Konikow, L.F., and Bredehoeft, J.D., 1978, Computer Model of Two-Dimensional Solute Transport and Dispersion in Ground Water, U.S. Geological Survey, Technical Water Resources Investigation, Book 7, Chapter C2.
Lefkoff, L.J., and Gorelick, S.M., 1986, Design and Cost Analysis of Rapid Aquifer Restoration Systems Using Flow Simulation and Quadratic Programming, Ground Water, Vol.24, No.6, pp. 777–790.
Mantoglou A. and Wilson, J.L., 1982, The Turning Bands Method for Simulation of Random Fields Using Line Generation by a Spectral Method, Water Resources Research, Vol.18, No.5, pp. 1379–1394.
Marin, C.M., 1986, Parameter Estimation in Water Resources Planning and Management: Optimal Actions or Optimal Parameters?, Water Resources Research, Vol.22, No.3, pp. 353–360.
Mercer, J.W., Silka, L.R., and Faust, C.R., 1983, Modeling Ground-Water Flow at Love Canal, New York, Journal of Environmental Engineering, Vol.109, No.4, pp. 924–942.
Peckenpaugh, J.M., and Dugan, J.T., 1983, Hydrogeology of Parts of the Central Platte and Lower Loop Natural Resources Districts, Nebraska, U.S. Geological Survey, Water Resources Investigations Report 83–4219.
Rishel, H.L., Boston, T.M., and Schmidt, C.J., 1984, Costs of Remedial Response Actions at Uncontrolled Hazardous Waste Sites, Noyes Publications, Park Ridge, New Jersey.
Ryan, B.J., DeSaulniers, R.M., Bristol, D.A., and Barlow, P.M., 1984, Geohydraulic Data for a Low-Level Radioactive Contamination Site, Wood River Junction, Rhode Island, U.S.G.S. Open File Report, 84–725.
Ryan, B.J. and Kipp, K.L., 1984, Low-level radioactive contamination from a cold-scrap recovery operation, Wood River Junction, Rhode Island, U.S.G.S. Open File Report, 84–066.
Szidarovszky, F., Gershan, M.E., and Duckstein, L., 1986, Techniques for Multiobjective Decision Making in System Management, Elsevier Scientific Publishing Co., New York.
Todd, D.K., 1980, Groundwater Hydrology, John Wiley and Sons, New York.
Wagner, B.J. and Gorelick, S.M., 1989, Reliable Aquifer Remediation in the Presence of Spatially Variable Hydraulic Conductivity: From Data to Design, Water Resources Research, Vol.25, No. 10, pp. 2211–2225.
Wagner, B.J. and Gorelick, S.M., 1987, Optimal Groundwater Quality Management Under Parameter Uncertainty, Water Resources Research, Vol.23, No.7, pp. 1162–1174.
Willis, R., 1976, Optimal Groundwater Quality Management: Well Injection of Waste Water, Water Resources Research, Vol.12, No.l, pp. 47–53.
Willis, R., 1979, A Planning Model for the Management of Groundwater Quality, Water Resources Research, Vol.15, No.6, pp. 1305–1312.
Woldt, W., 1990a, Simulation and Analytical Tools for Modeling Ground Water Quality, in Gambolati, G. et al., (Eds.), Computational Methods in Subsurface Hydrology, Proceedings of the Eighth International Conference on Computational Methods in Water Resources, Computational Mechanics Publications, Boston, pp. 253–262.
Woldt, W., 1990b, Ground Water Contamination Control: Detection and Remedial Planning, Ph.D. Dissertation, Department of Civil Engineering, University of Nebraska - Lincoln.
Zeleny, M., 1973, Compromise Programming, in Starr, M.K., and Zeleny, M., (Eds.), Multiple Criteria Decision Making, University of South Carolina Press, Columbia, pp. 101–145.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Woldt, W., Bogardi, I., Duckstein, L. (1991). Consideration of Reliability in System Design for Ground Water Remediation. In: Ganoulis, J. (eds) Water Resources Engineering Risk Assessment. NATO ASI Series, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76971-9_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-76971-9_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-76973-3
Online ISBN: 978-3-642-76971-9
eBook Packages: Springer Book Archive