EFDC
Environmental Fluid Dynamics Code (EFDC)
A state-of-the-art hydrodynamic model that can be used to simulate aquatic systems in one, two, and three dimensions. It has evolved over the past two decades to become one of the most widely used and technically defensible hydrodynamic models in the world (USEPA). Our research group have implemented algorithms into EFDC to address various environmental problems.
Reference:
Y. Hui, Z. Zhu, and J. F. Atkinson. “Mass Balance Analysis and Calculation of Wind Effects on Heat Fluxes and Water Temperature in a Large Lake”. Journal of Great Lakes Research
Z. Zhu, D. Waterman, M. García. “Modeling the Transport of Oil-Particle Aggregates Resulting from an Oil Spill in a Freshwater Environment”. Environmental Fluid Mechanics, 2018, 18(4), 967-984.
Z. Zhu, V. Morales, M. García. “Impact of Combined Sewer Overflows on Urban River Hydrodynamic Modeling: A Case Study of the Chicago Waterway”. Urban Water Journal, 2017, 14(9): 984-989.
J. Quijano, Z. Zhu, V. Morales, B. Landry, M. García. “Three-dimensional Model to Capture the Fate and Transport of Combined Sewer Overflow Discharges: A Case Study in the Chicago Area Waterway System”. Science of the Total Environment, 2017, 576: 362-373.
Z. Zhu, D. Motta, P. R. Jackson, M. García. “Numerical Modeling of Simultaneous Tracer Release and Piscicide Treatment for Invasive Species Control in the Chicago Sanitary and Ship Canal, Chicago, Illinois”. Environmental Fluid Mechanics, 2017, 17(2): 211-229.
Z. Zhu, N. Oberg, V. Morales, J. Quijano, B. Landry, M. García. “Integrated Urban Hydrologic and Hydraulic Modelling in Chicago, Illinois”. Environmental Modelling & Software, 2016, 77(3): 63-70.
FluEgg
Fluvial Egg Drift Simulator (FluEgg)
A three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of Asian carp eggs is presented. The models variables include not only biological behavior (growth rate, density changes) but also the physical characteristics of the flow field, such as mean velocities and eddy diffusivities.
Reference:
Z. Zhu, D. T. Soong, T. Garcia, M. Shahed Behrouz, S. E. Butler, E. A. Elizabeth, M. J. Diana, J. J. Duncker, and D. H. Wahl. “Using Reverse-time Egg Transport Analysis for Predicting Asian Carp Spawning Grounds in the Illinois River”. Ecological Modelling, 2018, 384(9): 53-62. (pdf)
Abstract
Identifying spawning grounds of Asian carp is important for determining the reproductive front of invasive populations. Ichthyoplankton monitoring along the Illinois Waterway (IWW) has provided information on abundances of Asian carp eggs in the IWW's navigation pools. Post-fertilization times derived from egg development stages and water temperatures can be used to estimate spawning times of Asian carp eggs, but estimating how far these eggs have drifted requires information on river hydraulics. A Fluvial Egg Drift Simulator (FluEgg) program was designed to predict the drift of Asian carp eggs in the riverine environment with egg growth considered. This paper presents a reverse-time particle tracking (RTPT) algorithm for back-casting the spawning location of eggs from their collection site. The RTPT algorithm was implemented as a module in FluEgg. The new version of FluEgg was coupled with an unsteady hydrodynamic model of the IWW to predict the spawning locations for 530 eggs that were collected in June 2015. The results indicate that tailwater sections below the Locks and Dams (L&Ds) in each navigation pool appear to be preferred spawning locations for Silver Carp (a species of Asian carp). From the data analyzed, the most upstream spawning location for the June 2015 spawning period was in the upper Marseilles navigation pool, downstream of the Dresden Island L&D. The RTPT algorithm can efficiently estimate spawning locations for multiple egg samples.
FluOil
FluOil: Oil-Particle Aggregates (OPAs) Drift Simulator
A three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of oil-particle aggregates (OPAs) is presented. The models variables include not only characteristics of OPAs (settling velocity, critical shear stress for deposition and resuspension) but also the physical characteristics of the flow field, such as mean velocities and eddy diffusivities. This model is developed based on the FluEgg model.
HydroSedFoam
A parallelized two-dimensional hydrodynamic, sediment transport, and bed morphology model based on OpenFOAM.
Reference:
Z. Zhu*, J. LeRoy, B. Rhoads, and M. García. “HydroSedFoam: A New Parallelized Two-dimensional Hydrodynamic, Sediment Transport, and Bed Morphology Model”. Computers & Geosciences, 2018, 120(11): 32-39. (pdf)
Abstract: Depth-averaged two-dimensional (2D) models are useful tools for understanding river morphodynamics through the computation of hydrodynamics, sediment transport, and an evolving river bed morphology. This paper presents a new parallelized 2D hydrodynamic, sediment transport, and bed morphology model, HydroSedFoam. The model uses the Message Passing Interface (MPI) for code parallelization and adopts a depth-averaged k-epsilon turbulence model. Three different case studies, including a laboratory experiment, an analytical solution, and a field-scale river reach, show good agreement with HydroSedFoam simulations. Further development and modification of the model are relatively straightforward to accomplish within the OpenFOAM framework.
