Data Collection Methodology for Dynamic Temperature Modeling Testing and Corroboration

Presenter Information

Bethany Neilson

Location

Eccles Conference Center

Event Website

http://water.usu.edu/

Start Date

3-27-2006 5:15 PM

End Date

3-27-2006 5:30 PM

Description

This presentation details the data collection methodology used for identifying missing energy balance components in a dynamic temperature model. The basis for collecting these data was a preliminary temperature model application on the Virgin River in southwestern Utah for a low flow scenario, where a decrease in the solar radiation inputs by 15-20% during calibration were 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, hyporheic exchange, dead zone warming, poor representation of solar radiation entering the water column, and substrate warming due to solar radiation penetration. Data collection efforts revealed that bed conduction, hyporheic flow, and dead zone storage are of importance in the system. Solar radiation reflection off the water surface and penetration of the water column to warm bed substrate were found to be insignificant.

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Mar 27th, 5:15 PM Mar 27th, 5:30 PM

Data Collection Methodology for Dynamic Temperature Modeling Testing and Corroboration

Eccles Conference Center

This presentation details the data collection methodology used for identifying missing energy balance components in a dynamic temperature model. The basis for collecting these data was a preliminary temperature model application on the Virgin River in southwestern Utah for a low flow scenario, where a decrease in the solar radiation inputs by 15-20% during calibration were 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, hyporheic exchange, dead zone warming, poor representation of solar radiation entering the water column, and substrate warming due to solar radiation penetration. Data collection efforts revealed that bed conduction, hyporheic flow, and dead zone storage are of importance in the system. Solar radiation reflection off the water surface and penetration of the water column to warm bed substrate were found to be insignificant.

https://digitalcommons.usu.edu/runoff/2006/AllAbstracts/41