HR: 09:45h
AN: H11E-08    [Abstracts]
TI: Using Sequential Self-calibration Method to estimate a correlation length of a log-conductivity field conditioning on a tracer test and limited measured data
AU: * Hu, x b
EM: hu@gly.fsu.edu
AF: florida state university, department of geological sciences 108 carraway building, tallahassee, fl 32306 United States
AU: He, C
H11E-08 AF: florida state university, department of geological sciences 108 carraway building, tallahassee, fl 32306 United States
AB: A gradient-based inverse method - the sequential self-calibrated method (SSC) - is developed to identify a parameter for the statistical distribution function of a conductivity field, a correlation length. The identification is based on a tracer test data and some conductivity measurements. It is widely recognized the correlation length is the most difficult parameter to obtain from limited field measurements, especially in the horizontal direction, because the measurement in this direction is generally limited and sparsely populated. When the SSC method is used to estimate conductivity statistical distribution conditioning on tracer test data, the closer the chosen correlation length to the real value, the faster the convergent rate, which is the basis of the identification method proposed in this study. The study results indicate the correlation length cannot be determined by the tracer data alone, some conductivity measurement is required. In comparison with the identification of correlation length with only conductivity measurement, with tracer test data, much less measurement is required.
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1869 Stochastic hydrology
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: Fall Meeting 2005