Date of Award
5-2019
Degree Type
Report
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
Committee Chair(s)
Yan Sun
Committee
Yan Sun
Committee
Simon Wang
Committee
Richard Cutler
Abstract
The Colorado River is one of the largest resources for water in the United States, as well as being an important asset to the economy. Previous studies have shown a connection between the Great Salt Lake and the Colorado River. This study used time series analysis to build models to predict the water supply of the Colorado River ten years out. These models used data from the Colorado River in addition to Great Salt Lake water elevation. Several models suggest a decline in water supply from 2013 – 2020, before starting to increase. These predictions differ from predictions published by a 2012 government report that came from climate modeling. Comparing this study’s predictions with the 2012 government report’s predictions state a large difference between water supply and water demand around the year 2020. Further research is needed to update similar models to predict water supply. This information could be helpful in management’s decisions to influence their water saving plans.
Recommended Citation
Plucinski, Brian, "Feasibility of Multi-Year Forecast for the Colorado River Water Supply: Time Series Modeling" (2019). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 1363.
https://digitalcommons.usu.edu/gradreports/1363
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