A multiobjective simulation-optimization tool for assisting in urban watershed restoration planning

摘要: Abstract Significant efforts are being made to restore urban watersheds. Stormwater control measures (SCMs) reduce runoff and provide water quality treatment, the predominate means of achieving restoration objectives. Determining an effective implementation strategy for these often requires a simulation model. The Storm Water Management Model (SWMM) is hydrologic-hydraulic model specifically developed use in We enhanced existing external program SWMM by adding automated calibration user-selected events, sensitivity analysis capability, multiobjective cost-optimization feature using well-known evolutionary solver, Non-dominated sorting genetic algorithm (NSGA-II). program, RSWMM-Cost, was then applied previously Difficult Run watershed Fairfax County, Virginia. Calibration verification were performed program. Sensitivity conducted varying SCM attributes as function performance metrics. Cost-optimization on 123.4 ha headwater subcatchment generalized cost relationships constraints based upon design guidance requirements. A cost-effectiveness curve generated, consisting sets SCMs that either optimal or nearly so. Thus, RSWMM-Cost can assist decision makers identify management strategies meet goals.