Record Details
Predicting Flow Through the Causeway of the Great Salt Lake Using Hydrodynamic Simulations and Artificial Neural Networks
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Predicting Flow Through the Causeway of the Great Salt Lake Using Hydrodynamic Simulations and Artificial Neural Networks |
| Creator | Dutta, Som Crookston, Brian Mark Rasmussen, Michael Larsen, Eric |
| Description | At the Great Salt Lake, the northern and southern portions of the lake are divided by an east-to-west causeway that disrupts natural lake currents and significantly increases salt concentrations in the norther portion. To support management efforts to address rising environmental and economic concerns, the causeway was recently modified to include a new breach that typically exhibits a strong density-driven bidirectional flow pattern. To obtain much needed insights into the hydraulic... |
| Date | 2021-07-31T07:00:00Z |
| Type | text |
| Format | application/pdf |
| Identifier | https://digitalcommons.usu.edu/water_rep/679 info:doi/10.26077/A537-FE72 https://digitalcommons.usu.edu/context/water_rep/article/1678/viewcontent/Dutta_Final_Report_UtahDNR_2020_21.pdf |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | Reports |
| Publisher | Hosted by Utah State University Libraries |
| Contributor | Utah State University |
| Subject | Great Salt Lake flow artificial neural network hydrodynamic simulation Environmental Sciences Physical Sciences and Mathematics Water Resource Management |
