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Stochastic Fusion of Information for Characterizing and Monitoring the Vadose Zone

Tian-Chyi J. Yeh^*,a and Jirka imnek^b

^a Department of Hydrology and Water Resources, The University of Arizona, Tucson, AZ 85721
^b George E. Brown, Salinity Laboratory, USDA-ARS, Riverside, CA 92507-4617

View larger version (27K): [in a new window]   Fig. 1. Comparisons of true and estimated (A) Ks and (B) values (after removing their means) from one flux boundary condition. (C) and (D) compare the true and estimated values for two flux boundary conditions.

View larger version (28K): [in a new window]   Fig. 2. Flow chart of Level 2 iterative stochastic fusion.

View larger version (31K): [in a new window]   Fig. 3. True (A) ln and (B) fields of the synthetic vadose zone.

View larger version (38K): [in a new window]   Fig. 4. (A) Estimated fields using six measurements and a kriging technique; (B) estimated ln field from an unsaturated inverse model using 34 values from Fig. 4A; (C) simulated fields using the ln field from Fig. 4B. (D) Estimated fields using six measurements and an ERT survey; (E) estimated ln field from an unsaturated inverse model using 34 values from Fig. 4D; (F) simulated fields the using the ln field from Fig. 4E.