HR: 1400h
AN: H33B-10    [Abstracts]
TI: Effects of Field Data Collection Frequency on Soil Water Modeling and Parameter Estimation
AU: * Douglas, J C
EM: jcdouglas@wisc.edu
AF: University of Wisconsin - Madison, Department of Civil and Environmental Engineering 1261 Engineering Hall 1415 Engineering Dr, Madison, WI 53706, United States
AU: Potter, K W
AF: University of Wisconsin - Madison, Department of Civil and Environmental Engineering 1261 Engineering Hall 1415 Engineering Dr, Madison, WI 53706, United States
AU: Norman, J M
AF: University of Wisconsin - Madison, Department of Soil Science 263 Soils 1525 Observatory Dr, 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) to evaluate the impacts of winter climate variations on spring snowmelt and infiltration. Lysimeter, soil moisture, and frost data were collected during winter months on an agricultural field in south-central Wisconsin. The data was used to create a one- dimensional soil column model in SHAW. PEST was used to optimize the hydraulic conductivity and air entry potential parameters in the SHAW model based on winter weather patterns. The results show that the frequency of field data and observations affect the ability of PEST to accurately reproduce a set of known parameters in the SHAW model.
DE: 1823 Frozen ground
DE: 1846 Model calibration (3333)
DE: 1865 Soils (0486)
SC: Hydrology [H]
MN: 2007 Joint Assembly