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By Greg Pohll; Jenny Chapman; Karl Pohlmann; Ahmed Hassan; Jeff Daniels; USDOE Office of Environmental Management (EM) (US); Desert Research Institute, Nevada University, Reno, NV (United States).; University of Nevada System. Desert Research Institute.; Uni

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Although the differences in calculation between these two approaches to computing a contaminant boundary may appear subtle, they are dramatically different in terms of their interpretation. The first approach provides an area in which there is a high degree of certainty that risk values are not lower than the calculated value, while the second approach provides an area in which there is a low probability that one will exceed a specified risk. These two types of boundaries are a direct result of the uncertainty analysis, but with different perspectives: contaminated zone versus uncontaminated zone.

Stochastic Imaging of Spatial Distributions Using Hard and Soft Information. Master's Thesis, Stanford University, Stanford, CA. American Society of Mechanical Engineers Center for Research and Technology Development and Institute for Regulatory Science (ASME/IRS), 2001. Technical Peer Review Report, Report of the Review Panel: Strategy for Remediation of Groundwater Contamination at the Nevada Test Site, The American Society of Mechanical Engineers, Technical Publishing Department, New York, NY, CRTD-Vol.

Hypothetical groundwater flow and transport components for the two-dimensional flow model. 49 a d b e c f Figure A2. Spatial distribution of solute concentration for simulations 1 and 2 in the appendix. Images a, b, and c represent the concentrations for the no-well simulation at 250, 500, and 750 years, respectively. Images d, e, and f represent the concentrations for the simulation that included at pumping well at 250, 500, and 750 years, respectively. 50 a d b e c f Figure A3. Spatial distribution of solute concentration for simulations 3 and 4 in the appendix.

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