
Traditional stormwater management uses event-based hydrology (i.e., which is applied to single storm events), whereas continuous hydrologic simulation is applied to a multitude of events that can yield millions of data points in the various input/output timeseries datasets. As a result, additional analytical techniques are required to visualize and characterize the data used in applications of stormwater models that involve continuous simulation (e.g., quantifying existing conditions, optimizing operations, or evaluating proposed stormwater infrastructure). This specialized workshop is intended for experienced modelers interested in building skills in pre/post processing of data used for continuous simulation.
This workshop will begin with basic statistics, percentiles, and trend analyses for long-term time-series data using PCSWMM. Two types of analysis will then be distinguished and investigated in detail: event analysis (i.e., where the timeseries is parsed into discrete events) and duration analysis (i.e., where the timeseries is banded into discrete regimes). Finally, typical applications that are commonly used in North America will be presented. These analyses will be applied to a variety of datasets, both measured (rainfall, temperature, sea/lake levels, streamflows, and suspended sediment concentrations) and computed (soilwater content, pond/wetland water levels, and pipe/watercourse flowrates).
During this course, attendees will have an opportunity to learn from an experienced engineer during this in-person training event. Through presentations, demonstrations, and hands-on exercises, attendees will understand the relevant analytical procedures, the capabilities and limitations of PCSWMM and EPA SWMM5, and develop the necessary skills and confidence to undertake time series analyses.
Register before November 5, 2026 to receive the early bird discount.
Earn 0.75 CEUs for participating in the 1 day workshop.
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Please note that a minimum number of registrations are needed by November 17, 2026 for the workshop to proceed. Please register early to avoid cancellation.








