HR: 1340h
AN: H13B-0410    [Abstracts]
TI: Long-term Monitoring Algorithm Verification Using an Intermediate Scale Groundwater Facility
AU: * Wei, X
EM: xwei@emba.uvm.edu
AF: Research Center for Groundwater Remediation Design, 213 Votey Building University of Vermont, Burlington, VT 05405 United States
AU: Pinder, G F
EM: pinder@emba.uvm.edu
AF: Research Center for Groundwater Remediation Design, 213 Votey Building University of Vermont, Burlington, VT 05405 United States
AB: Long term groundwater monitoring networks created by nonlinear optimization methods coupled with stochastic transport simulators are currently available. However, few of the schemes have been tested. In an effort to test one of these design algorithms a 4.22 by 2.74 by 2.13 meter intermediate-scale indoor facility that mimics a heterogeneous subsurface environment was constructed at the University of Vermont. Time Domain Reflectometry (TDR) sensors were installed in the facility at 105 locations to monitor the change of electrical conductivities in the subsurface. A 20-day point source continuous-injection experiment was conducted. Salt concentrations were collected at a frequency of 20 minutes per measurement per sensor. An exhaustive dataset of a migrating plume was thereby established. Various tests were conducted to provide the measures and statistics of the hydraulic conductivities (K) in the subsurface. Latin Hypercube Sampling based random field generator was adopted to create the realizations of random fields of hydraulic conductivity based on the information of K from the previous step. Groundwater flow and transport simulators were used to calculate the associated concentration fields. A static Kalman filter and a genetic algorithm were then used to choose sampling locations and times based on minimizing the cost subject to the constraint of a desired accuracy. A monitoring network was thereby designed. Computed concentration plume statistics were updated using the information obtained from samples proposed by the monitoring network. Finally, these updated plumes were compared with the actual plumes to determine the effectiveness of the optimized monitoring network.
DE: 1832 Groundwater transport
DE: 1869 Stochastic processes
DE: 1894 Instruments and techniques
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting