Optimization of a retention pond design for nutrient trapping and peak flow reduction within an agricultural basin.

摘要

This thesis presents a methodology for improving the design of structural best management practices (BMP) by coupling simulation and optimization techniques. The objectives of this thesis were to (1) identify a simulation model capable of modeling non-point source pollution loading and BMP effects, (2) develop an optimization model capable of determining specific design parameters that maximize benefits, and (3) utilize the model to design an optimal BMP for a specific agricultural watershed and evaluate modeled results. Hydrologic data from a typical agricultural basin is used to run the Integrated Design and Evaluation Assessment of Loadings (IDEAL) model. A retention pond is used to model the capture of nitrogen and phosphorus in storm water runoff. The IDEAL model is linked with a genetic algorithm to find the elevation and diameter of the principal outlet structure that provides the highest nutrient trapping efficiency and greatest reduction of peak flow. The results from the search algorithm are able to provide greater nutrient removal over conventional design methods.