We specialize in developing sophisticated fate and transport models for simulating the movement and chemical alteration of contaminants in the subsurface. These models can account for complex biophysicochemical process including advection, dispersion, diffusion, sorption/desorption, decay, and chemical-biological and nuclear reactions within deterministic and probabilistic frameworks.
Our expertise in systems optimization allows for integration of our advanced numerical models with efficient global optimization schemes, which facilitates evaluating remedial investigation schemes and developing effective remediation systems. At locations with adequate operational data, we can construct hydrologic neural network models to accurately reflect the site hydrodynamics. The benefit of our coupled simulation-optimization models include more cost-effective expenditure of cleanup funds, lower energy consumption, improved decision-making, and the ability to reliably identify Potentially Responsible Parties.