Date of Award:

5-1968

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Civil and Environmental Engineering

Committee Chair(s)

Cleve H. Milligan

Committee

Cleve H. Milligan

Committee

Elliot Rich

Committee

Eldon J. Gardner

Abstract

Accurate streamflow forecasts have been recognized as being important by water users and others whose occupations and pursuits depend upon the supply of water from snow fed streams.

The streamflow forecasting equations for the important predictive periods, in particular the April through September and the May through September total flows, were developed in this study for both the Logan and Blacksmith Fork Rivers.

Multiple linear regress ion was used as a mathematical model in determining the streamflow forecasting equations. A correlation analysis was used to determine the importance of the variables used in the mathematical model. The results of this thesis indicate the importance of the use of computers in streamflow forecasting. The results show a considerable increase in the accuracy of streamflow forecasts over the published forecasts due to the fact that more variables could be included into the model without complicating the mathematical computations greatly.

Efforts to improve the forecasts and eliminate the deviations between the forecasted and observed flows by using soil moisture data were unsuccessful.

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