Impact of Uncertainty Estimation on Early Assessment of Technology Options in Contaminated Land Management
Abstract
Large-scale sites with contaminated land and groundwater constitute a complex system with numerous interacting processes that impact not only the environment but also major areas of society like human health, economy and the environment. Due to scale and complexity there are usually a great number of possible management options to be considered at these sites. Since a detailed investigation of all these options is not economically feasible, a streamlining of the planning and decision process is a mandatory requirement, beginning with an early selection of promising management options based on a preliminary assessment. In this context, the knowledge of uncertainties can help to gear future, more detailed investigations towards favored options and thereby streamline the management process. In this presentation we present the results of an investigation carried out to determine and rank parameters with respect to their relative importance to the cost-efficiency of remediation options. Monte-Carlo simulations using the assessment model CAROplus were used to analyze the effect of uncertain parameters in the context of various groundwater contamination scenarios (LNAPL and DNAPL pools as well as residual organic phase i.e. blobs).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2007
- Bibcode:
- 2007AGUFM.H23B1301Y
- Keywords:
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- 1873 Uncertainty assessment (3275);
- 3275 Uncertainty quantification (1873)