Data Collection Methodology For Dynamic Temperature Model Testing And Corroboration
This article describes a data collection approach for determining the significance of individual heat fluxes within streamswith an emphasis on testing (i.e. identification of possible missing heat fluxes), development, calibration and corroborationof a dynamic temperature model. The basis for developing this approach was a preliminary temperature modelling effort onthe Virgin River in southwestern Utah during a low-flow period that suggested important components of the energy balancemight be missing in the o riginal standard surface-flux temperat ure model. Possible missing heat fluxes were identi fied as bedconduction, hyporheic exchange, dead zone warming and exchange and poor representation of the amount of solar radiationentering the water column. To identify and estimate the relative importance of the missing components, a comprehensive datacollection eff ort was developed and implemented. In particular, a method for measuring shortwave radiation behaviour inthe water column and an in situ method for separating out bed conduction and hyporheic influences were established. Theresulting data and subsequent modelling effort indicate that hyporheic and d ead zone heat fluxes are important, whereas solarradiation reflection at the water surface was found to be insignificant. Although bed conduction can be significant in certainrivers, it was found to have little effect on the overall heat budget for this section of the Virg in River. Copyright 2009 JohnWiley & Sons, Ltd.
Neilson, B.T., David King Stevens, S. C. Chapra, C. Bandaragoda. 2009. Data Collection Methodology For Dynamic Temperature Model Testing And Corroboration. Hydrologic Processes. - doi:10.1002/hyp.7381.