HR: 1340h
AN: H13B-1332    [Abstracts]
TI: Data Collection Methodology For Dynamic Temperature Modeling, Testing, and Corroboration
AU: * Neilson, B
EM: bethany.neilson@usu.edu
AF: Utah Water Research Laboratory, Utah State University, Logan, UT 84322
AU: Bandaragoda, C
EM: cmay@cc.usu.edu
AF: Utah Water Research Laboratory, Utah State University, Logan, UT 84322
AB: Model testing and corroboration is becoming more of a concern as both hydrologic and water quality models have become critical in managing water quality and ensuring that instream water quality standards are met. During calibration many modelers use available data and change model parameters and inputs without an understanding of whether calibrated parameters or adjusted inputs are realistic or representative of the system. In a preliminary temperature model application on the Virgin River in southwestern Utah, USA, for a low flow scenario, a decrease in the solar radiation inputs by 15-20% during calibration was required to match observations. This suggested that important components of the energy balance may be missing when modeling the system with a typical surface flux temperature model. Possible missing energy flux components were identified as bed conduction, substrate warming due to solar radiation penetration, and transient storage effects. The identification and relative importance of each of these missing energy balance components required a well-designed and comprehensive data collection effort. This presentation will detail the data collection methodology used in the Virgin River, the reasoning behind each type of data collected, and the relative importance of each data type in further model development, testing, and parameterization.
DE: 1814 Energy budgets
DE: 1847 Modeling
DE: 1871 Surface water quality
DE: 1878 Water/energy interactions (0495)
DE: 1894 Instruments and techniques: modeling
SC: Hydrology [H]
MN: Fall Meeting 2005