Enhancing a rainfall-runoff model to assess the impacts of BMPs and LID practices on storm runoff. (1st January 2015)

• Record Type: Journal Article
• Authors: Liu, Yaoze; Ahiablame, Laurent M.; Bralts, Vincent F.; Engel, Bernard A.
• Is Part Of: Journal of environmental management. Volume 147(2015)
• Page Start: 12
• Page End: 23
• Publication Date: 2015-01-01
• Subjects: Best management practices -- Low impact development practices -- Modeling -- Runoff -- Urban areas; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2014.09.005
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Best management practices (BMPs) and low impact development (LID) practices are increasingly being used as stormwater management techniques to reduce the impacts of urban development on hydrology and water quality. To assist planners and decision-makers at various stages of development projects (planning, implementation, and evaluation), user-friendly tools are needed to assess the effectiveness of BMPs and LID practices. This study describes a simple tool, the Long-Term Hydrologic Impact Assessment-LID (L-THIA-LID), which is enhanced with additional BMPs and LID practices, improved approaches to estimate hydrology and water quality, and representation of practices in series (meaning combined implementation). The tool was used to evaluate the performance of BMPs and LID practices individually and in series with 30 years of daily rainfall data in four types of idealized land use units and watersheds (low density residential, high density residential, industrial, and commercial). Simulation results were compared with the results of other published studies. The simulated results showed that reductions in runoff volume and pollutant loads after implementing BMPs and LID practices, both individually and in series, were comparable with the observed impacts of these practices. The L-THIA-LID 2.0 model is capable of assisting decision makers in evaluating environmental impacts of BMPs and LID practices, thereby improving the effectiveness of stormwater management decisions. Highlights: The representation of BMPs/LID practices in L-THIA-LID model was enhanced. L-THIA-LID 2.0 model was demonstrated with idealized land use units and watersheds. L-THIA-LID 2.0 model can properly simulate BMPs and LID practices.