Stormwater Symposium

Oral

397284 - Evaluation of Stormwater Best Management Practice Construction and Maintenance Policies

Wednesday, June 6
10:30 AM - 12:00 PM
Location: Mirage Room
Co-Authors: Clayton Hodges, Blacksburg, VA – Virginia Tech; Zack DelGrosso, Blacksburg, VA – Virginia Tech

To meet increasing regulations and improve the quality of urban stormwater runoff, municipalities and stormwater managers have shifted to implementing smaller and more spatially distributed best management practices (BMPs) to prevent flooding and improve water quality. These BMPs improve the water quality of runoff through physical removal (e.g infiltration, settling), physio-chemical (e.g. adsorption), and biological (e.g. plant uptake) removal processes. The increase in the use of BMPs has required that municipalities invest more in the construction and maintenance costs associated with stormwater management. However, this increase in investment has not been accompanied with the requisite increase in research on the appropriate inspection frequency and protocols for the construction and maintenance of these BMPs. This study investigates the construction and maintenance practices associated with BMPs to generate evidence-based protocols and standards that can be adopted by stormwater managers and local government authorities across the country. Specifically, the study concentrates on elucidating the construction factors and maintenance protocols that are critical for volume reduction and pollutant removal performance. BMPs investigated in this study include bioretention cells, permeable pavement, sand filters, infiltration trenches, vegetated swales, and wet ponds. In conjunction with relevant studies and standards, construction and maintenance inspection data from Fairfax County, Virginia has been used as a case study and compared to national data. Several key factors were identified and corresponding recommended improvements to construction and maintenance policies for these BMPs have been proposed that will aid in maintaining cost-effectiveness and long-term performance of these systems.

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