Simulation-Optimization Model Development Using BMPs to Mmanage Urban Runoff

Authors

1 Graduate Student, Department of Environmental Engineering, Faculty of Environment, University of Tehran

2 Assist. Prof. Department of Environmental Engineering, Faculty of Environment, University of Tehran

Abstract

In this article, the amount of pollutants and water discharge in Firouzabadi drainage channel were
estimated to be able to simulate the existing and future quality and quantity of the channel, using EPA
Storm Water Management Modeling (SWMM). In addition, several best management practices
(BMPs) such as; swales and porous pavements were utilized. The goal of using such techniques were
to reduce runoff peak flow and non-point source pollution through evaporation, filtration, and
chemical or biological treatments. It is obvious that non of above techniques alone, could not improve
the runoff quality effectively. It sounds wise to combine two or more techniques together to reach the
optimum efficiency in controlling the amount of runoff. In this research, two main models were used:
rainfall-runoff model and optimization model. SWMM was applied to simulate quality and quantity
of runoff. Nevertheless, Multi Objective Particle Swarm Optimization (MOPSO) was used to
optimize the BMPs layouts so that the peak flow will be minimized effectively. The results show that
in additon to improve the quality of runoff, BMPs can reduce the peak discharge flow between 8 to
15 percent for 5-year return period.

Keywords