Abstract: Effective stormwater treatment infrastructures are crucial for mitigating the adverse effects of runoff on urban water quality. However, designing cost-effective treatment systems can be challenging due to complex turbulent ...

Abstract: Stormwater basins, which are subject to highly unsteady flows and loads, function as clarifiers for particulate matter (PM) and PM-bound constituents. Quasi-steady flow hydrodynamics in water and wastewater treatment plant ...

Abstract: Eulerian–Lagrangian methods are common for computational fluid dynamics (CFD) modeling of particle fate. Near-wall turbulence flow profiles are frequently modeled with wall function (WF) for computational efficiency and ...

Abstract: Turbulence is inherent in clarification basin systems; turbulence is challenging to quantify, yet directly impacting particulate matter (PM) separation. In computational fluid dynamic (CFD), Reynolds-averaged Navier-Stokes ...

Abstract: In the urban water cycle, adsorption facilitated by engineered granular media increasingly is deployed for solute separation in potable water, stormwater, and wastewater systems. Of these systems, stormwater treatment is ...

Abstract: Machine learning (ML) is increasingly implemented to model water infrastructure dynamics. Common ML models are primarily data-driven and require a significant amount of data for robust training. Often, obtaining robust ...

Abstract: The fracture of particles has a significant influence on the engineering behavior of granular materials. There are no reported conclusive answers in the literature to explain the influence of pore water on the fracture of ...