Abstract

Stormwater quality and quantity modeling remains an important activity in current water resources engineering practice. At the same time, the application of stormwater management models is shifting from event to continuous analysis. With this shift, attention is necessarily focused on other forms of model output or performance criteria; hence, the nature of model calibration is quite different in continuous and event modeling applications.

This study involved the comparison of two distinct continuous analysis approaches, continuous simulation and analytical probabilistic modeling. Factorial experimental design was used to test the sensitivity of runoff quantity control measures to various model input parameters. A rudimentary calibration exercise was undertaken in an attempt to correlate the analytical model results to parallel continuous simulation results. The results produced a sufficient calibration procedure, but in the process many questions relating to model assumptions, sensitivity and response were encountered.

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