Modeling LID Treatment Train Impacts on Runoff, Sediment,and Water Quality in U.S. Urban Areas Using IDEAL: Part 2 – Model Application to Example US Cities

摘要

Part 2 of this two part series is an application of IDEAL, an object based post construction hydrology model, to water quality prediction that is suitable for use in cities throughout the US. Example prediction is made of the impact of selected LID concepts and treatment train Best Management Practices (BMPs) for Greenville, SC for which the model was developed. Additional applications are shown based on conditions for Albany, NY; Austin, TX; Baltimore, MD; Honolulu, HI; Salem, OR; Tallahassee, FL and Tulsa, OK. Local rainfall and soils information is used in the model predictions. Comparisons of sediment and nutrient loadings are made for multiple suites of treatment trains as well as for conditions having no BMPs. The results of this modeling effort are intended to show how varying climates and soils impact the effectiveness of varying treatment trains. Low Impact Development (LID) concepts and BMPs modeled by IDEAL include disconnecting storm drains, use of water barrels, bioretention cells, bioswales, sand filters, and VFS. Comparison can be made between the use of LID concepts and BMPs with the more traditional wet and dry ponds.