Assessing the Feasibility of a Cloud-Based, Spatially Distributed Modeling Approach for Tracking Green Stormwater Infrastructure Runoff Reductions

Use of green stormwater infrastructure (GSI) to mitigate urban runoff impacts has grown substantially in recent decades, but municipalities often lack an integrated approach prioritize areas for implementation, demonstrate compelling evidence catchment-scale improvements, and communicate program effectiveness. We present a method quantifying reduction benefits associated with distributed GSI that is designed align the spatial scale information required by implementation. The model was driven probabilistic representation rainfall events estimate annual reductions various design storm levels. Raster-based calculations provide estimates on 30-m grid, preserving unique combinations drainage factors drive production, hydrologic storage, infiltration GSI. showed strong correspondence aggregated continuous data from set urbanized catchments Salinas, California, USA, over three-year monitoring period output sensitivity drain network inputs. Because runs through web browser parameterization based readily available data, it suitable nonmodeling experts rapidly update features, compare alternative implementation scenarios, track progress toward goals, regulatory compliance.