Integrated Surface–Groundwater Model for Storm-Water Harvesting Using Basic Mass Balance Principles

Abstract

Storm-water harvesting from a pond for irrigation of adjacent lands is promoted as one way that may reduce pond discharge while supplementing valuable potable water used for irrigation. Reduction of pond discharge reduces the mass of pollutants in the discharge. In this study, a storm water harvesting and assessment for reduction of pollution (SHARP) model was developed to predict operation of a wet pond used for storm-water harvesting at Miramar Lakes, Miramar, FL. The model integrates the interaction of surface water and groundwater in a catchment area. The SHARP model was calibrated and validated for pond-water elevation. Model evaluation showed adequate prediction of pond-water elevation with root mean square error (RMSE) between 0.07 and 0.12 m, mean absolute error (MAE) between 0.018 and 0.07 m, and relative index of agreement (