Streamflow Forecasting for Blacksmith For River, Utah
PURPOSE: The method for streamflow forecasting by using Fourier Series and Multiple Regression as a mathematical model have been suggested and proved with high accuracy for the streamflow forecasting on Logan River, Utah by Professor Cleve H. Milligan and Dr. Rex L. Hurst. In this thesis the method...
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| Format: | Others |
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DigitalCommons@USU
1959
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| Online Access: | https://digitalcommons.usu.edu/etd/6775 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=7845&context=etd |
| Summary: | PURPOSE:
The method for streamflow forecasting by using Fourier Series and Multiple Regression as a mathematical model have been suggested and proved with high accuracy for the streamflow forecasting on Logan River, Utah by Professor Cleve H. Milligan and Dr. Rex L. Hurst.
In this thesis the method is extended to the forecasting for the Blacksmith Fork River, south of the Logan River.
Because the climatological data are not available in the Blacksmith Fork watershed, this thesis also provides a technique for using the available data from adjacent watersheds.
OBJECTIVES:
1. To forecast the streamflow on Blacksmith Fork River, Cache County, Utah by using Fourier Series and Multiple Regression as a mathematical model.
2. To test the consistency of the snow, temperature, precipitation, and streamflow data by statistical methods.
3. To test the significance of the variables considered in the mathematical model. |
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