HR: 0800h
AN: H11C-0320    [Abstracts]
TI: Using Diverse Data Types to Calibrate a Watershed Model of the Trout Lake Basin, Northern Wisconsin
AU: * Hunt, R J
EM: rjhunt@usgs.gov
AF: U.S. Geological Survey, 8505 Research Way, Middleton, WI 53562 United States
AU: Feinstein, D T
EM: dtfeinst@usgs.gov
AF: U.S. Geological Survey, 3209 North Maryland Ave., Milwaukee, WI 53211 United States
AU: Pint, C D
EM: cpint@barr.com
AF: University of Wisconsin-Madison, Dept. of Geology and Geophysics 1215 W. Dayton St., Madison, WI 53705 United States
AU: Pint, C D
EM: cpint@barr.com
AF: Barr Engineering Company, 4700 77th St. Suite 200, Mpls., MN 55435 United States
AU: Anderson, M P
EM: andy@geology.wisc.edu
AF: Barr Engineering Company, 4700 77th St. Suite 200, Mpls., MN 55435 United States
AB: As part of the USGS Water, Energy, and Biogeochemical Budgets project and NSF Long-Term Ecological Research work, a parameter estimation code was used to calibrate a deterministic groundwater flow model of the Trout Lake Basin in northern Wisconsin. Observations included traditional calibration targets (head, lake stage, and baseflow observations) as well as unconventional targets such as groundwater flows to and from lakes, depth of a lake plume, and time of travel. The unconventional data types were important for parameter estimation convergence and allowed the development of a more parameterized model. Independent estimates of groundwater inflow to lakes were most important for constraining lakebed leakance, and the depth of the lake plume was important for determining hydraulic conductivity and conceptual aquifer layering. The most important target, however, was a conventional regional baseflow target that was important for correctly distributing flow between sub-basins and the regional system. The use of parameter estimation: 1) facilitated the calibration process by providing a quantitative assessment of the model's ability to match disparate observed data types; and 2) provided a best fit for the particular model conceptualization. The model calibration required the use of a "universal" parameter estimation code in order to include all types of observations in the objective function. The methods described here help address issues of watershed complexity and non-uniqueness common to deterministic watershed models.
DE: 1894 Instruments and techniques
DE: 3210 Modeling
DE: 1829 Groundwater hydrology
DE: 1831 Groundwater quality
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting