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J. Bear (1979)
Hydraulics of Ground WaterGround Water
R. Freeze, J. Massmann, L. Smith, Tony Sperling, B. James (1990)
Hydrogeological Decision Analysis: 1. A FrameworkGround Water, 28
L. Gelhar (1986)
Stochastic subsurface hydrology from theory to applicationsWater Resources Research, 22
I. Bogardi, L. Duckstein, F. Szidarovszky (1982)
Bayesian analysis of underground floodingWater Resources Research, 18
J. R. Benjamin, C. A. Cornell (1970)
Probability, Statistics and Decision for Civil EngineersWater Resources Res
J. Massmann, R. Freeze (1987)
Groundwater contamination from waste management sites: The interaction between risk‐based engineering design and regulatory policy: 1. MethodologyWater Resources Research, 23
A.M.S. Ang, W. H. Tang (1984)
Probability Concepts in Engineering Planning and DesignWater Resources Res
L. W. Gelhar (1986)
Stochastic subsurface hydrology from theory to applicationsGround Water, v. 22
J. Massmann, R. A. Freeze (1987a)
Ground water contamination from waste management sites: MethodologyWater Resources Res, v. 23
J. Massmann, R. Freeze, L. Smith, Tony Sperling, B. James (1991)
Hydrogeological Decision Analysis: 2. Applications to Ground‐Water ContaminationGround Water, 29
J. Massmann, R. A. Freeze (1987b)
Ground water contamination from waste management sites: Results, v. 23
E. Reichard, J. Evans (1989)
Assessing the value of hydrogeologic information for risk‐based remedial action decisionsWater Resources Research, 25
R. A. Freeze, J. Massmann, L. Smith, T. Sperling, B. James (1990)
Hydrogeological decision analysis: 1. A frameworkWater Resources Res, v. 28
In this paper we apply the Bayesian decision analysis to the engineering design of a ground‐water interception well whose purpose is to capture a contaminant plume. Two decision variables are considered: (1) pumping rate of an interception well when the desired width of interception zone is known, and (2) optimal number of slug tests needed to estimate the statistics of mean log‐conductivity. The optimal number of slug tests is calculated for the case when no prior information regarding the mean of log‐conductivity is available. The analysis is performed for steady‐state ground‐water flow in a linear‐type aquifer. Two utility functions are considered. The utility functions account for the risk associated with not capturing the contaminant plume, cost of pumping, and cost of aquifer testing.
Ground Water – Wiley
Published: Nov 1, 1993
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