Assessment of Predictive Real-Time Control Retrofits on Stormwater Basin Performance in an Urban Watershed

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dc.contributor.authorHonardoust, Dylan Russellen
dc.contributor.committeechairDymond, Randel L.en
dc.contributor.committeememberHodges, Clayton Christopheren
dc.contributor.committeememberYoung, Kevin D.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2020-06-05T08:01:21Zen
dc.date.available2020-06-05T08:01:21Zen
dc.date.issued2020-06-04en
dc.description.abstractThe potential real-time control (RTC) has to improve the performance of existing stormwater management systems is a topic of increasing interest as hydraulic and hydrologic modeling capabilities proliferate. The benefits of incorporating precipitation forecast data into a RTC algorithm to allow for prediction-based control of an urban watershed is explored using an EPA SWMM 5.1 watershed model. One reactive and two predictive RTC algorithms are simulated in various configurations across seven dry detention ponds located in the 162 hectare urbanized watershed. The hydraulic benefits they provide at the site and watershed outlet in regards to peak flow and the flow duration curve are compared to conventional, static control. The ponds retrofit with the novel predictive RTC algorithm had lower peak flows during 24-hour design storms more consistently than when retrofit with reactive RTC. The duration of erosive flows at the site level was decreased by the novel predictive RTC in most cases. Improvements at the watershed outlet depended on where RTC was applied as hydrograph compounding was observed during some RTC implementations.en
dc.description.abstractgeneralThe consequences of watershed urbanization on nearby waterways has become a more relevant concern as urbanization increases and climate change continues to develop. Conventional stormwater management practices are employed to control peak flows from urbanized drainage areas for certain design storm criteria. Real-time control (RTC) technology has the potential to enable existing stormwater facilities to improve their performance during storm events different from their design conditions. This study compares the performance of several reactive and predictive rule-based RTC algorithms simulated as retrofits on seven dry detention ponds in a 162 hectare urbanized watershed. The results indicate that RTC algorithms that use rainfall forecast data for predictive decision making have the most potential to reduce stream erosion when applied appropriately throughout the watershed.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:26063en
dc.identifier.urihttp://hdl.handle.net/10919/98754en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectStormwater managementen
dc.subjectReal-Time Controlen
dc.titleAssessment of Predictive Real-Time Control Retrofits on Stormwater Basin Performance in an Urban Watersheden
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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