HR: 1340h
AN: H13A-1319    [Abstracts]
TI: Multiobjective Time-Dependent Optimal Experimental Design of Sampling Networks
AU: * Thomas, B
EM: bthomas@rand.org
AF: RAND, 1776 Main St., Santa Monica, CA 90407
AU: Yeh, W W
EM: williamy@seas.ucla.edu
AF: UCLA, Civil and Envir Engr BOX 951593, 5732B BH, Los Angeles, CA 90095-1593
AB: This work addresses the application of optimal experimental design (OED) for obtaining groundwater sampling data in an efficient manner. The OED finds application here in developing designs for a complex reactive transport scenario. In this context, monitoring networks can be used for multiple purposes, such as for collecting samples that improve the accuracy of reaction parameters and for reliably monitoring contaminant transport. The nondominated sorting genetic algorithm, NSGA-II, is used to develop the Pareto surface of these objectives and their tradeoff with design cost. Costs explicitly include the designer's discount rate, a factor which can significantly influence the selection of well installation and sampling times. As the temporal domain is of interest to both design cost and reaction kinetics, the methodology explicitly addresses the time dependency of the OED problem.
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1848 Monitoring networks
DE: 3260 Inverse theory
DE: 6339 System design
SC: Hydrology [H]
MN: Fall Meeting 2005