Optimizing stormwater low-impact development strategies in an urban watershed considering sensitivity and uncertainty. Journal of Cleaner Production, 213, 251–261.īahrami, M., Bozorg-Haddad, O., & Loáiciga, H. A multiobjective simulation-optimization tool for assisting in urban watershed restoration planning. Through a systematic analysis of the results, we try to identify the guidelines for the effective use of automatic calibration procedures based on modeling assumptions and target of the analysis.Īlamdari, N., & Sample, D. Results reported in the paper demonstrate that the performance of automatically calibrated models still depends on a number of user-dependent choices (the level of catchment discretization, the selection of significant parameters, the optimization techniques adopted). In this article, we test the use of a state-of-the-art standard package (PEST, Parameter ESTimation, ) for the automatic calibration of a rainfall-runoff EPA-SWMM (Storm Water Management Model) model developed for a small suburban catchment. Automatic calibration offers as a promising alternative, ideally supporting a user-independent and time-efficient approach to model parameters estimation. Manual calibration is very difficult and time-consuming due to the large number of model parameters that must be estimated concurrently. Rainfall-runoff models must be calibrated and validated before they can be used for urban stormwater management.
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