Assessment of the Effectiveness of Impervious Area Reduction and Green Infrastructure at Improving Water Quality and Reducing Flooding at the Watershed-Scale
This project builds on work that resulted from 2014-15 funding from the New York State Water Resources Institute examining the relationship between landscape characteristics and water quality and quantity using field monitoring and geospatial datasets from the Kromma Kill Watershed in Albany County, NY. Simple statistical analyses were used to examine the correlational relationships between watershed characteristics, such as drainage density and percent impervious, and water quality and quantity. For this project, hypotheses were developed from these correlation analyses about causal relationships between landscape characteristics and water quantity and quality. These hypotheses were then tested using a rainfall-runoff model, EPA SWMM. For the second part of this project, a Siena undergraduate student used the model to examine the impact of green roofs versus constructed wetlands on water quality and quantity in the Kromma Kill Watershed. Both projects highlight the complexity of urban landscapes and the processes that control water quality and quantity in watersheds. Results suggest that watershed plans that rely only on reducing the percentage of effective imperviousness are not a “one size fits all” solution. Simply reducing the percentage of effective imperviousness through green infrastructure (GI) may not be the most effective solution for every management objective. Special attention must be paid to the type of GI utilized. For example, retention based GI (wetlands) is best utilized when centralized and reducing peak flow or selected pollutants is the main management objective. However, detention based GI (green roofs) is best utilized when it is decentralized and reducing surface runoff, runoff ratios, and all pollutants entering a system is the main objective.