Incorporating Multi-event and Multi-site Data in the Calibration of SWMM

Due to the increasing data availability from different observation sites and rainfall events, the need for an efficient way to consider all these data during the calibration process has arisen. This paper presents a comparison of single and multi-site calibration performances, as well as single and multi-event approaches, using a calibrator specially built to the SWMM (Storm Water Management Model). The results highlighted the advantages of using multi-approaches, mainly because they produce lower values of objective functions and narrower uncertainty bounds when using disturbed data, besides presenting a significant reduction in computational processing time.