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Comparison of Pollutant Removal Efficiency in Road Sediment with Media Using Filter Separator  

Bang, Ki-Woong (Division of Civil, Environment and Urban Engineering, Hanbat National University)
Lee, Jun-Ho (Division of Environmental Engineering, Chungju National University)
Choi, Chang-Su (Department of Environmental Engineering, Chungbuk National University)
Lee, Sang-Ill (Department of Environmental Engineering, Chungbuk National University)
Publication Information
Abstract
Storm runoff from road contains significant loads of particulate and dissolved solids, organic constituents and metal elements. Micro particle is important when considering pollution mitigation because pollutant metal and organics have similar behavior with particles. The objective of this research is to evaluate the hydrodynamic filter separator performance for road storm runoff treatment. A various types of media such as perlite, granular activated carbon, zeolite were used for column test packing media and filter separator, and to determine the removal efficiency with various surface loading rate. As the results of column test, the highest SS removal efficiency was using mixed media(granular activated carbon, zeolite and perlite), and granular activated carbon mixed with zeolite has higher heavy metal removal efficiency than perlite. In laboratory scale hydrodynamic filter separator study, the operation ranges of surface loading rates were from 192 to 1,469 $m^3/m^2/day$. The estimated overall removal efficiencies of hydrodynamic filter separator for typical storm runoff were SS 48.1%, BOD 31.9%, COD 32.6%, TN 15.5%, and TP 17.3%, respectively. For the case of heavy metals, overall removal efficiencies were Fe 26.0%, Cu 19.4%, Cr 25.7, Zn 16.6%, and Pb 15.0%, respectively. The most appropriate medium for hydrodynamic filter separator was perlite mixed with granular activated carbon to treatment of road storm runoff.
Keywords
Hydrodynamic Filter Separator; Road Runoff; Column Filtration; Media; Nonpoint Source;
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Times Cited By KSCI : 1  (Citation Analysis)
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