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 performance of this hydraulic structure and the exchange between the two sections of the lake, a field campaign coupled with computational fluid dynamics (CFD) modeling and an artificial neural network (ANN) model were undertaken
