Stormwater Symposium


393439 - Characterization and Dynamics of Stormwater Runoff and Treatment at a Bioswale in a County Maintenance and Service Facility

Tuesday, June 5
4:00 PM - 5:30 PM
Location: Greenway AB
Co-Authors: Kshitiz Gyawali, Corvallis, OR – Oregon State University; Tyler Radniecki, Corvallis, OR – Oregon State University

Most stormwater studies have focused on highway areas, residential areas, and commercial sites, with limited examination of stormwater from Maintenance and Service (M&S) facilities. M&S facilities are constantly undergoing change. The unsteady flow and storage of wide range of construction materials and equipment, and maintenance activities done on these facilities is likely to generate stormwater runoff that may have widely different flow and water quality characteristics at different times of the year. While green infrastructure (GI) is becoming popular for stormwater management, there is a need to understand how it responds to the dynamic environment at M&S facilities.

The main objective of this research is to characterize the stormwater runoff from an M&S facility, and to evaluate the temporal performance of a bioswale in removing pollutants from runoff. In this study, influent stormwater runoff was characterized for a 100,000 sq. ft. M&S facility in Benton County, Oregon. The runoff from the facility is intercepted using an underground tank, and pumped to a bioswale. The runoff entering the swale was characterized using flow-weighted composite sampling with automated samplers for 12 storms. For three of these storms, automated flow-weighted discrete samples of influent and effluent were also collected in order to examine temporal dynamics in runoff and water quality parameters (e.g., pH, EC, turbidity, TSS, TDS, VSS, PSD, hardness, Cu, Zn, PO4-P and diesel fraction). This presentation will report main results from the field investigations and experiments.

Meghna Babbar-Sebens

Associate Professor
Oregon State University

Dr. Meghna Babbar-Sebens conducts interdisciplinary, computational research in the field of Hydroinformatics to develop innovative and effective solutions for sustainable planning and management of water-based systems. Her research investigates innovations in a wide variety of Hydroinformatics approaches, including computational modeling of complex water-based systems, multi-objective optimization, interactive optimization, noisy optimization, evolutionary computing, multi-agent models, Markov decision processes, neural networks, human-computer interaction, data assimilation, high performance computing, etc. These innovations help solve a variety of problems, such as:
> How can communities collaborate via web-based technologies to plan and design conservation practices or green stormwater practices on their landscape?
> How can high performance computing and optimization algorithms be used to design short term and long term watershed adaptation alternatives, for communities combatting flooding, droughts, and/or water quality impacts due to changing climate and anthropogenic drivers?
> How can observations from different types of sensors (e.g., in-situ instruments, satellites, and unmanned aerial systems (UASs), etc.) be used to improve data assimilation in water quality models?
> What types of data-driven, machine learning models are useful for simulating complex water systems when we don't know the exact mechanistic process in the system?


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393439 - Characterization and Dynamics of Stormwater Runoff and Treatment at a Bioswale in a County Maintenance and Service Facility

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