Modeling Urban Storm-Water Quality Treatment: Model Development and Application to a Surface Sand Filter
Publication: Journal of Environmental Engineering
Volume 136, Issue 1
Abstract
A mathematical and statistical model for simulating contaminant removal from a surface sand filter is reported. The model was based on a mass balance equation and an advection-dispersion transport model. The unknown parameters of the model were the deposition rate and the hydrodynamic dispersion. Changes in space were allowed within the filter media depth and time variability of flow and influent contaminant concentration were taken into account. System field monitoring was performed between 2004 and 2006. A total of 17 storms were selected for the study. Runoff constituent analyses included: total suspended solids, total petroleum hydrocarbons-diesel range hydrocarbons, and zinc. The objective was to explore the capabilities of a two parameter model for predicting effluent contaminant concentrations. Optimized model parameter values were calculated on a storm by storm basis. Thereafter, a gamma distribution was fitted to the optimized values. A Monte Carlo simulation was performed to explore the predicting capabilities of the model by using two storms left for validation. Results of the validation phase show an acceptable performance of the model since, in general, estimated effluent concentrations fell within the uncertainty limits.
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Acknowledgments
The UNH Stormwater Center is housed within the Environmental Research Group (ERG) at the University of New Hampshire (UNH) in Durham, New Hampshire. Funding for the program was and continues to be provided by the Cooperative Institute for Coastal and Estuarine Environmental Technology (CICEET) and the National Oceanic and Atmospheric Administration (NOAA). The writers acknowledge the significant contributions made by anonymous reviewers.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 136 • Issue 1 • January 2010
Pages: 68 - 77
Copyright
© 2010 ASCE.
History
Received: Apr 28, 2008
Accepted: Jun 29, 2009
Published online: Jul 17, 2009
Published in print: Jan 2010
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