HR: 0800h
AN: H11C-0317    [Abstracts]
TI: High-accuracy Lake Level Measurements as Calibration Observations in Regional Ground-water Modeling
AU: * Fredrick, K C
EM: kcf2@buffalo.edu
AF: University at Buffalo Department of Geology, 876 Natural Sciences North Campus, Buffalo, NY 14260 United States
AU: Matott, L S
EM: lsmatott@buffalo.edu
AF: University at Buffalo Department of Civil, Structural, and Environmental Engineering, 207 Jarvis Hall North Campus, Buffalo, NY 14260 United States
AU: Rabideau, A J
EM: rabideau@buffalo.edu
AF: University at Buffalo Department of Civil, Structural, and Environmental Engineering, 207 Jarvis Hall North Campus, Buffalo, NY 14260 United States
AU: Becker, M W
EM: mwbecker@buffalo.edu
AF: University at Buffalo Department of Geology, 876 Natural Sciences North Campus, Buffalo, NY 14260 United States
AB: During calibration of ground-water models, uncertain parameters are adjusted to minimize the sum of the squared differences between simulated and observed data. Conventional ground-water models, using well-head data for calibration, are constructed to represent relatively small, site-specific hydrogeological systems. However, large regional systems generally lack sufficient numbers of monitoring wells. Modeling such systems requires alternative field data, such as lake levels. This research examines the use of unconventional lake elevation data in the construction and calibration of a regional analytic-element ground-water model. Lake levels were collected in the Northern Highland Lakes Region of Wisconsin using a high-resolution, real-time kinematic global positioning system (RTK GPS) and used as head observations for the regional model. Depending on the robustness and quality of the RTK GPS data, it may be desirable to weight observations such that error-prone measurements are less influential than comparatively error-free measurements. Therefore, calibrations of hydraulic conductivity are performed using two different weighting schemes; a uniform weighting scheme and one with weights based on individual observation error estimates reported by the RTK GPS device.
DE: 1829 Groundwater hydrology
DE: 1832 Groundwater transport
DE: 1894 Instruments and techniques
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting