An economic decision framework using modeling for improving aquifer remediation design

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Description

Reducing cost is a critical challenge facing environmental remediation today. One of the most effective ways of reducing costs is to improve decision-making. This can range from choosing more cost- effective remediation alternatives (for example, determining whether a groundwater contamination plume should be remediated or not) to improving data collection (for example, determining when data collection should stoop). Uncertainty in site conditions presents a major challenge for effective decision-making. We present a framework for increasing the effectiveness of remedial design decision-making at groundwater contamination sites where there is uncertainty in many parameters that affect remediation design. The objective is to ... continued below

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32 p.

Creation Information

James, B.R.; Gwo, J.P. & Toran, L.E. November 1, 1995.

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Description

Reducing cost is a critical challenge facing environmental remediation today. One of the most effective ways of reducing costs is to improve decision-making. This can range from choosing more cost- effective remediation alternatives (for example, determining whether a groundwater contamination plume should be remediated or not) to improving data collection (for example, determining when data collection should stoop). Uncertainty in site conditions presents a major challenge for effective decision-making. We present a framework for increasing the effectiveness of remedial design decision-making at groundwater contamination sites where there is uncertainty in many parameters that affect remediation design. The objective is to provide an easy-to-use economic framework for making remediation decisions. 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-benefit analysis, and Regional Sensitivity Analysis (RSA).

Physical Description

32 p.

Notes

INIS; OSTI as DE96006190

Source

  • Other Information: PBD: Nov 1995

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  • Other: DE96006190
  • Report No.: ORNL/GWPO--0017
  • Grant Number: AC05-84OR21400
  • DOI: 10.2172/205122 | External Link
  • Office of Scientific & Technical Information Report Number: 205122
  • Archival Resource Key: ark:/67531/metadc670445

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  • November 1, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Jan. 21, 2016, 8:04 p.m.

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James, B.R.; Gwo, J.P. & Toran, L.E. An economic decision framework using modeling for improving aquifer remediation design, report, November 1, 1995; Tennessee. (digital.library.unt.edu/ark:/67531/metadc670445/: accessed August 16, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.