Abstract

GIS as an Analytical tool for Stormwater Management
Track: Water, Wastewater, and Stormwater
Authors: Jason Steckel

WCC used GIS to identify opportunities for the effective implementation of green infrastructure (GI) within the Olentangy Scioto Interceptor Sewer (OSIS) system of Columbus, Ohio. The analysis consisted of digitizing proposed GI practices such as pervious curb and gutter and rain gardens. From this, predicted reductions in storm water runoff were calculated using a set of equations derived from Hydrocad modeling software. These values were then regressed against results generated by SWMM storm water modeling software. The result was the development of a predictive mechanism to identify sewer subcatchments wherein GI implementation would be most effective. The method provides a distinct advantage over traditional hydrological modeling in that it is much less labor intensive than individually modeling every subcatchment within a combined sewer system using a tool such as SWMM. Ultimately, this will allow the City of Columbus to focus GI implementation in areas where it can be most effective.