Optimizing Flood Control: A Comprehensive 3D Computationsl Fluid Dynamic Study of the Comite Diversion Channel in the Comite and Amite River Basins

To address the escalating challenges posed by extreme weather events and the critical importance of water management, this presentation focuses on innovative methodologies in streamflow monitoring and prediction. Specifically, we present a comprehensive study undertaken to enhance flood mitigation in the Comite and Amite River Basins of central Louisiana.In response to the imperative need for effective flood control, a 12-mile diversion channel has been designed to redirect flow from the Comite River into the Mississippi River. Our research, commissioned by the United States Army Corps of Engineers, New Orleans District, aims to quantify the impact of design modifications on crucial flow parameters within the diversion structure. We employ advanced three-dimensional, multiphase computational fluid dynamics (CFD) modeling techniques, utilizing the open-source OpenFOAM library with the interFoam finite volume solver.The study evaluates the alignment of the diversion channel by analyzing flow diversion, velocity profiles, and streamlines within the channel and the associated hydraulic control structure. Special emphasis is placed on understanding the dynamics of the drop structure flow, interactions with upstream drainage features, and potential sediment accumulation risks. Our model, validated through perturbations in turbulence models, boundary roughness, and grid independence studies, provides valuable insights into the performance of the diversion structure under various flow conditions. In conclusion, our findings underscore the importance of informed engineering decisions for fostering climate resilience in riverine regions. By providing insights into the dynamics of the diversion channel and quantifying uncertainties associated with flow parameters, this study offers actionable solutions to enhance streamflow monitoring efficiency in the face of evolving hydrological challenges.