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California (USA) is the largest agricultural producer and one of the populous states in the United State. As the population and agriculture grows, water consumption patterns become crucial to keep track of especially surface water. In this research project, we studied possible changes in water consumption patterns in different counties and water rights holders who obtain surface water supply from the State Water Project (SWP) in California. We conducted a time series analysis on the California Monthly Diverted Surface Water dataset through two different time series forecasting models. Our analysis indicates that the total diverted surface water presents a periodic fluctuation, and the ARIMA model can better describes the fluctuation of diverted surface water.


This poster, first place winner for STEM individual projects, was presented at the 34th Semi-Annual Dr. Janet Liou-Mark Honors & Undergraduate Research Poster Presentation, May 5, 2021. Mentor: Dr. Indrani Pal (NOAA for Earth System Sciences & Remote Sensing Technologies (CESSRST) Center, New York, NY).

This project is supported by the National Science Foundation Research Experiences for Undergraduates (Grant # 1950629), under the direction of Dr. Reginald A. Blake, Dr. Janet Liou-Mark, and Ms. Julia Rivera. The authors are grateful for the support from The National Oceanic and Atmospheric Administration –Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies Summer Bridge program (Grant # NA16SEC4810008) under the direction of Dr. Shakila Merchant. The authors are solely responsible for the content of this article, and it does not necessarily represent the views of the NSF CESSRST REU.



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