TECHNICAL PAPERS
Nov 1, 1996

Risk-Cost Decision Framework for Aquifer Remediation Design

Publication: Journal of Water Resources Planning and Management
Volume 122, Issue 6

Abstract

The writers present a framework for increasing the effectiveness of remedial design decision-making at ground-water contamination sites where there is uncertainty in many parameters that affect remediation design. It is specifically designed for broad, “big picture” analyses, such as in the preliminary stages of remedial design. The presented framework is used to (1) select the best remedial design from a suite of possible ones; (2) estimate if additional data collection is cost-effective; and (3) determine the most important parameters to be sampled. The framework is developed by combining elements from Latin-Hypercube simulation of contaminant transport, economic risk-cost analysis, and regional sensitivity analysis (RSA). The framework is demonstrated using a hypothetical contamination problem where radionuclide strontium ( 90 Sr) is leaching from a trench into the ground water. Three remediation design alternatives are considered: monitoring only, isolating the source trench, and installing a plume containment and treatment system. Uncertainty in remediation design performance is due to uncertainty in 13 flow and transport parameters including hydraulic conductivity and source strength. The methodology can be applied to a variety of remediation problems.

Get full access to this article

View all available purchase options and get full access to this article.

References

1.
Auslander, D. M., Spear, R. C., and Young, G. E.(1982). “A simulation-based approach to the design of control systems with uncertain parameters.”Trans. ASME, 104(1), 20–26.
2.
Beck, M. B.(1987). “Water quality modeling: a review of the analysis of uncertainty.”Water Resour. Res., 23(8), 1939–1442.
3.
Ben-Zvi, M., Berkowitz, B., and Kesler, S.(1988). “Preposterior analysis as a tool for data evaluation: application to aquifer contamination.”Water Res. Man., 2, 11–20.
4.
Christakos, G., and Killam, B. R.(1993). “Sampling design for classifying contaminant level using annealing search algorithms.”Water Resour. Res., 29(12), 4063–4076.
5.
Davis, D. R., Kisiel, C. C., and Duckstein, L.(1972). “Bayesian decision theory applied to design in hydrology.”Water Resour. Res., 8(1), 33–41.
6.
Freeze, R. A., Massmann, J., Smith, J. L., Sperling, T., and James, B. R.(1990). “Hydrogeological decision analysis. I: A framework.”Ground Water, 28(5), 738–766.
7.
Freeze, R. A., James, B., Massmann, J., Sperling, T., and Smith, L.(1992). “Hydrogeological decision analysis: 4. the concept of data worth and its use in the development of the site investigation strategies.”Ground Water, 30(4), 574–588.
8.
Gates, J. S., and Kisiel, C. C.(1974). “Worth of additional data to a digital computer model of a groundwater basin.”Water Resour. Res., 10(5), 1031–1038.
9.
Grosser, P. W., and Goodman, A. S.(1985). “Determination of groundwater sampling frequencies through Bayesian decision theory.”Civ. Engrg. Sys., 2(4), 186–194.
10.
Hornberger, G. M., and Spear, R. C.(1980). “Eutrophication in Peel Inlet I. the problem-defining behavior and a mathematical model for the phosphorous scenario.”Water Res., 14, 29–42.
11.
Iman, R. L., and Conover, W. J. (1980). “Small sample sensitivity analysis techniques for computer models, with an application to risk assessment.”Communications in Statistics. Part A: Theory and Applications, A9(17), 1749–1842.
12.
James, B. R., Gwo, J. P., and Toran, L. (1995). “An economic framework using modeling for improving aquifer remediation design.”Tech. Rep. No. 17, ORNL Groundwater Programs Ofc., Oak Ridge Nat. Lab., Oak Ridge, Tenn.
13.
James, B. R., and Freeze, R. A.(1993). “The worth of data in predicting aquitard continuity in hydrogeological design.”Water Resour. Res., 29(7), 2049–2065.
14.
James, B. R., and Gorelick, S. M.(1994). “When enough is enough: the worth of monitoring data in aquifer remediation design.”Water Resour. Res., 30(12), 3499–3514.
15.
Maddock III, T.(1973). “Management model as a tool for studying the worth of data.”Water Resour. Res., 9(2), 270–280.
16.
Press, W. H., Flannery, B. P., Teukolksy, S. A., and Vetterling, W. T. (1987). Numerical recipes, the art of scientific computing . Cambridge University Press, New York, N.Y.
17.
Rautman, C. A., McGraw, M. A., Istok, J. D., Sigda, J. M., and Kaplan, P. G. (1994). “Probabilistic comparison of alternative characterization technologies at the fernald uranium soils and integrated demonstration project.”Proc., Waste Mgmt. '94, R. G. Post, ed., Laser Options, Inc., Tucson, Ariz., 2117–2124.
18.
Spear, R. C., and Hornberger, G. M.(1980). “Eutrophication in Peel Inlet II. identification of critical uncertainties via generalized sensitivity analysis.”Water Res., 14, 43–49.
19.
Yeh, G. T. (1987). “3DFEMWATER: a three dimension finite element model of water flow through saturated-unsaturated media.”ORNL-6386, Oak Ridge Nat. Lab., Oak Ridge, Tenn.
20.
Yeh, G. T., and Gwo, J. P. (1990). “A lagrangian-eulerian approach to modeling multicomponent reactive transport.” G. Gambolati, A. Rinaldo, C. A. Brebbia, W. G. Gray, and G. F. Pinder, eds., Computational Methods in Subsurface Hydrology, Proc., VIII Int. Conf. on Comp. Methods in Water Resour., Springer-Verlag, New York, N.Y., 419–427.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 122Issue 6November 1996
Pages: 414 - 420

History

Published online: Nov 1, 1996
Published in print: Nov 1996

Permissions

Request permissions for this article.

Authors

Affiliations

Bruce R. James
Prin., BRIJ Risk Res., 1235 Sunset Dr., Saltspring Island, B.C., Canada V8K, 1E2.
Jin-Ping Gwo
Res. Staff, Ctr. for Computational Sci., Oak Ridge Nat. Lab., P.O. Box 2008, Oak Ridge, TN 37831–6203.
Laura Toran
Res. Staff, Envir. Sci. Div., Oak Ridge Nat. Lab., P.O. Box 2008, Oak Ridge, TN. 37831-6400.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share