Presenter and Co-Presenter(s)

Eric Larsen, Utah State UniversityFollow

College

College of Engineering

Department

Mechanical and Aerospace Engineering Department

Faculty Mentor

Som Dutta

Abstract

USU senior Eric, hailing from Spanish Fork, studies mechanical engineering and funded this project through an engineering student grant. While there are several sampling stations that measure the waterflow of the Great Salt Lake, there are gaps in the data they collect that limit our ability to predict how water moves between the north and south sides of the lake. Eric has been developing machine learning models that more accurately portray the flows. This has applications for both GSL ecological preservation and the brine shrimp and salt industries. Eric loved how hands-on this project was, seeing the phenomenon that his data portrayed out in the real world. “Our understanding of the world is always expanding, and our research allows us to take part in that expanding knowledge.”

Document Type

Poster

Publication Date

2-7-2022

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