The development and application of a multilevel decision analysis model for the remediation of contaminated groundwater under uncertainty

Wang, Todd A.; McTernan, William F.

doi:10.1006/jema.2001.0470

Cited by 37 publications

(22 citation statements)

References 13 publications

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“…Because of the needs to evaluate contaminant plume extent, design monitoring networks, and estimate remediation costs groundwater modeling has increased substantially since the 1980s (Bedient et al, 1999). Recent modeling approaches have also incorporated decision analysis and support systems to help improve the estimation of remediation costs (Wang and McTernan, 2002;Aziz et al, 2003). However, a systematic evaluation of the existing and potential risks within an environmental geology framework and their relationship to actual remediation costs has only recently evolved (Kaufman et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

An Empirical Model for Estimating Remediation Costs at Contaminated Sites

Kaufman

Rogers²,

Murray

2005

Water Air Soil Pollut

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A model for estimating the remediation costs at contaminated sites is developed, in which the predictor variable is a composite of surface, subsurface, and contaminant risk factors. Calibration of the model is performed at 83 sites in an urbanized watershed with diverse surface geology in southeastern Michigan. These test sites exhibited different extents of contamination, including some where only soil was contaminated, and others where soil and groundwater were contaminated. The model was then applied to 79 sites with multiple contamination extents within different watersheds in North America, Europe, Australia, and Africa. The results indicate a very high correlation between the estimated and actual remediation costs at these sites. This model thus has the potential for providing reliable estimates of remediation costs across a broad array of soil and groundwater contamination scenarios, including dense nonaqueous phase liquid (DNAPL) contamination in sandy soil and lead in clay soil.

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Section: Introductionmentioning

confidence: 99%

An Empirical Model for Estimating Remediation Costs at Contaminated Sites

Kaufman

Rogers²,

Murray

2005

Water Air Soil Pollut

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“…Herath and Park (2000;2001) have conveyed it further to engineering economists, applying the more recent machinery of 'real options' put forward by Dixit and Pindyck (1994). The relevance of flexible strategies when dealing with contaminated sites was then successively pointed out by Bage et al (2002Bage et al ( , 2003, Wang andMcTernan (2002), andZhang (2009).…”

Section: Introductionmentioning

confidence: 99%

Assessing Contaminated Land Cleanup Costs and Strategies

Barrieu

2015

SSRN Journal

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The remediation of contaminated sites is often subject to substantial cost overruns. This persistent discrepancy between estimated and realized costs is chiefly responsible for misguided land use and wasteful delays in the reconversion of former industrial sites. In order to deal with incomplete information and uncertainty in this context, this paper draws on stochastic modelling and mathematical finance methods. We show that relatively simple and usable formulas can then be derived for better assessing cleanup strategies. These formulas apply to generic remediation technologies and scenarios. They are robust to misspecification of key parameters (like the effectiveness of a prescribed treatment). They also yield practical rules for decision making and budget provisioning.

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“…The magnitude of the failure cost affects directly the alternative that is chosen. Decisions made using a RCB analysis are regularly subject to high sensitivity of result to the failure cost (Wang and McTernan, 2002;Russell and Rabideau, 2000;Waldis et al, 1999;Rosen and LeGrand, 1997).…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water

Khadam

Kaluarachchi

2003

Environmental Impact Assessment Review

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Traditionally, environmental decision analysis in subsurface contamination scenarios is performed using cost -benefit analysis. In this paper, we discuss some of the limitations associated with cost -benefit analysis, especially its definition of risk, its definition of cost of risk, and its poor ability to communicate risk-related information. This paper presents an integrated approach for management of contaminated ground water resources using health risk assessment and economic analysis through a multi-criteria decision analysis framework. The methodology introduces several important concepts and definitions in decision analysis related to subsurface contamination. These are the trade-off between population risk and individual risk, the trade-off between the residual risk and the cost of risk reduction, and cost-effectiveness as a justification for remediation. The proposed decision analysis framework integrates probabilistic health risk assessment into a comprehensive, yet simple, cost-based multi-criteria decision analysis framework. The methodology focuses on developing decision criteria that provide insight into the common questions of the decision-maker that involve a number of remedial alternatives. The paper then explores three potential approaches for alternative ranking, a structured explicit decision analysis, a heuristic approach of importance of the order of criteria, and a fuzzy logic approach based on fuzzy dominance and similarity analysis. Using formal alternative ranking procedures, the methodology seeks to present a structured decision analysis framework that can be applied consistently across many different and complex remediation settings. A simple numerical example is presented to demonstrate the proposed methodology. The results showed the importance of using an integrated approach for

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The development and application of a multilevel decision analysis model for the remediation of contaminated groundwater under uncertainty

Cited by 37 publications

References 13 publications

An Empirical Model for Estimating Remediation Costs at Contaminated Sites

An Empirical Model for Estimating Remediation Costs at Contaminated Sites

Assessing Contaminated Land Cleanup Costs and Strategies

Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water

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