HR: 1340h
AN: H53F-1494    [Abstracts]
TI: Coupling Inverse Parameter Estimation Software with a 1D Soil Heat and Water Transport Model
AU: * Douglas, J C
EM: jamie.douglas@uwc.edu
AF: University of Wisconsin - Fox Valley, 1478 Midway Road, Menasha, WI 54952, United States
AU: Potter, K W
EM: kwpotter@wisc.edu
AF: University of Wisconsin - Madison, 1261 Engineering Hall 1415 Engineering Drive, Madison, WI 53706, United States
AB: Inverse parameter estimation is becoming an increasingly popular tool for calibrating and evaluating hydrologic models. In this study, PEST (Paramater ESTimation) software was used in conjunction with the one-dimensional soil transport model SHAW (Simultaneous Heat and Water Transport). The overall goal of the research project was to evaluate the impacts of winter climate variations on spring snowmelt and infiltration in south-central Wisconsin. In this study, SHAW was used with known parameter values to create a synthetic drainage and soil moisture data set. Various combinations of the synthetic observation data and methods for dealing with parameter correlation were used to test the ability of PEST to reproduce the known values for air entry potential, hydraulic conductivity, and pore size distribution index in the SHAW model. Results are presented for a synthetic short-term fall drainage experiment, and for soil subject to natural winter seasonal weather conditions.
DE: 1838 Infiltration
DE: 1847 Modeling
DE: 1866 Soil moisture
DE: 1875 Vadose zone
SC: Hydrology [H]
MN: 2007 Fall Meeting