HR: 1340h
AN: H13A-1320    [Abstracts]
TI: Robust remediation design of a groundwater model with variable hydrstratigraphic units and spatial uncertainty
AU: * Ricciardi, K L
EM: ricciard@math.umb.edu
AF: University of Massachusetts in Boston, Mathematics Department 100 Morrissey Blvd., Boston, MA 02125 United States
AB: Including uncertainty in pump-and-treat groundwater remediation designs has been shown to be important in developing a design that is robust and avoids the risks involved in using purely deterministic modeling techniques to predict remediation response. When there are differences in the hydrologic properties within one model, the geometry and scale of these differences can govern the importance of including the uncertainty in the remediation design. Through the use of an optimization approach with recourse, i.e. a multiscenario approach, techniques for including the uncertainty of the K fields of models with varying hydrostratigraphic regions is explored. Because this is a multiscenario approach, an effort is made to determine an approach that utilizes the fewest number of scenarios to obtain a solution that is representative of the true uncertain nature of the problem. Three sampling techniques are explored. These methods include: (1) Monte-Carlo simulations whereby each hydrostratigraphic unit is represented by a correlated but randomly sampled distribution of K values; (2) Monte-Carlo simulations whereby each hydrostratigraphic unit is represented by a single randomly sampled K value and scenarios are constructed by pairing sequential K values sampled from each field; (3) Equal-area simulations whereby each hydrostratigraphic unit is represented by a single sampled K value determined through equal area sampling.
DE: 1816 Estimation and forecasting
DE: 1831 Groundwater quality
DE: 1869 Stochastic hydrology
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: Fall Meeting 2005