Jones Edmunds was part of a comprehensive team that evaluated the City of Largo’s sanitary sewer and wastewater treatment and disposal systems for capacity assessment and improvements. Jones Edmunds was responsible for the hydraulic and treatment capacity assessment of the City’s 18-MGD-AADF advanced biological nutrient removal wastewater reclamation facility (WRF). The project goals were to identify hydraulic improvements and treatment alternatives to reliably meet current and future hydraulic and biological treatment capacity needs for the current and expected future regulatory requirements. This evaluation was conducted through a combination of flow monitoring, physical survey, hydraulic assessment, and unit process assessment, including substantial efforts in biological system modeling and capacity assessments using customized and calibrated BioWin models. Jones Edmunds configured and calibrated the BioWin BNR modeling to simulate the performance of the existing biological nutrient removal processes and to evaluate several process configurations/modifications for biological nutrient removal improvements at future flows and loading conditions.In addition, Jones Edmunds implemented a full-scale clarifier stress testing program and computational fluid modeling to determine the ability of the secondary clarifiers to handle projected peak-hour flows and solids loadings. We configured a state-of-the-art clarifier computational fluid model (CFD) using the 2Dc CFD model developed by Dr. Alex McCorqudale at the University of New Orleans. Although the clarifiers did not meet 10 States Standards criteria for peak-flow conditions, field testing and modeling demonstrated that the clarifiers will handle the expected peak flows. Jones Edmunds evaluated the overall hydraulic performance of the chlorine contact basins at the plant by conducting a fluorometric dye study. This study determined the effective detention time achieved in the basin compared to theoretical detention time calculations and identified potential ways to optimize plug-flow dynamics.