Stormwater Symposium

Oral

393585 - Modeling reduction of pyrethroids by enhanced stormwater Best Management Practices (BMPs) on a watershed scale

Thursday, June 7
8:30 AM - 10:00 AM
Location: Greenway AB
Co-Authors: Carolin Seller, Stuttgart, Germany – University of Stuttgart; YeoMyoung Cho, Stanford, CA – Stanford University; Terri Hogue, Golden, CO – Colorado School of Mines; Richard Luthy, Stanford, CA – Stanford University

To reduce stormwater pollution and meet water quality standards, local agencies often implement structural stormwater Best Management Practices (BMPs) such as green roofs, vegetated swales, and bioretention cells. Despite the anticipated benefits of BMPs, information on how various BMPs perform together and can be optimized on a watershed scale is limited. Further, BMP performance can be enhanced by incorporating developing technologies such as augmenting bioretention cells with geomedia (e.g., biochar or manganese-coated sand). This research seeks to determine how these enhanced BMPs can improve water quality on a watershed scale, primarily with respect to a class of emerging pesticides: pyrethroids.

Pyrethroids are of increasing concern as they are widely used in urban areas and have been linked to toxicity of aquatic organisms. A water quality model is developed in EPA SWMM to simulate pyrethroid loading and transport in the San Diego River watershed, located in San Diego County. To calibrate the model, stormwater samples were collected and analyzed for eight pyrethroids during a 2017 winter storm event. Simulation results are then coupled with EPA SUSTAIN and a BMP removal model that was previously developed to simulate bacterial reductions in a Los Angeles basin. This work serves as a case study of how a network of enhanced BMPs may be used to control emerging pollutant loadings, and subsequent in-stream toxicity, in an urban watershed.

Jordyn Wolfand

PhD Candidate
Stanford University

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393585 - Modeling reduction of pyrethroids by enhanced stormwater Best Management Practices (BMPs) on a watershed scale



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