Multiobjective Optimization of Low Impact Development Stormwater Controls Under Climate Change Conditions

摘要

A coupled optimization-simulation model was developed by linking the U.S. EPA Stormwater Management Model (SWMM) to the Borg Multiobjective Evolutionary Algorithm (Borg MOEA). The coupled model is capable of performing multiobjective optimization which use SWMM simulations as a tool to evaluate potential solutions to the optimization problem. For this research, the optimization-simulation tool was used to evaluate low impact development (LID) stormwater controls. LID is becoming increasingly prevalent as a climate change adaptation strategy. A SWMM model was developed, calibrated, and validated for a sewershed in Windsor, Ontario. LID stormwater controls were tested under both historical and climate change conditions. LID implementation strategies were optimized using the optimization-simulation model for 30 different scenarios with the objectives of minimizing peak flow in the stormsewers, reducing total runoff, and minimizing cost. The results of these simulations provided important information on the cost-effectiveness information for the LID controls.