Date of Award
Multidisciplinary Studies - Individualized Option, M.S.
Kimberley N. Irvine, Ph.D., Professor of Geography and Planning
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Kimberley N. Irvine, Ph.D., Chairperson of Thesis Committee
Ian G. Droppo, Ph.D., National Water Research Institute, Environment Canada
James Mayrose, Ph.D., Associate Professor of Technology
Urbanization can negatively impact water quality due to increasing impervious surfaces, which ultimately increases the hydrologic and contaminant load during rain events. Stormwater runoff contains high concentrations of contaminants that accumulate on the impervious surfaces and discharge into local water bodies, affecting aquatic life, recreational usages, aesthetic appearance, and possibly drinking water supply. Best Management Practices (BMPs) are important to minimizing and reducing the amount of water pollution that is found in stormwater runoff. Buffalo State Campus (BSC) is in an urbanized area and currently holds a National Pollutant Discharge Elimination System (NPDES) Permit to control stormwater runoff by implementing BMPs. BSC installed a hydrodynamic separator system (In - Line Stormceptor STC - 2400 ®Stormceptor) manufactured by Rinker to reduce stormwater pollution. It is designed to remove sediment particles from stormwater runoff and as well as variety of pollutants by means of a centrifugal force. A patented flow by – pass built into the Stormceptor helps to prevent scouring of the deposited sediments.
The objective of this research is to test the performance of the Stormceptor by collecting influent and effluent water samples during four different rain events and calculating removal efficiency (%) reduction for total suspended solids (TSS), heavy metals, oil and grease, and particle-bound pollutants. A Personal Computer version of Storm Water Management Model (PCSWMM) was used to estimate the stormwater runoff rate and volume. The model was calibrated satisfactorily using flow data and rainfall collected in campus and the calibrated model can be used in the future to model contaminant loads. Various entities have tested the performance of the Stormceptor in the past including the New Jersey Corporation of Advanced Technologies (NJCAT) where there was a 75% removal rate of TSS and 95% removal rate of oil and grease. The BSC Stormceptor showed lots of variability at removing pollutants in the stormwater runoff, but on average the Stormceptor performed well at removing heavy metals and oil and grease. Overall the Stormceptor removed pollutants whether there was frequent or infrequent rainfall (high or low flows) and future studies need to be conducted.
Price, Jameieka, "BMP Efficiency in an Institutional Area: Minimizing the Impacts of Water Pollution Using a Stormceptor for Water Quality Improvement" (2012). Multidisciplinary Studies Theses. 6.