A process-based method of estimating exponential decay parameters for particulate removal in a gravel trench

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Title A process-based method of estimating exponential decay parameters for particulate removal in a gravel trench
Author Newton, David Brooke; Jenkins, Graham Andrew; Yu, Bofu
Journal Name Water Science & Technology
Year Published 2007
Place of publication United Kingdom
Publisher IWA Publishing
Abstract Observed reductions in pollutant concentrations through stormwater treatment devices commonly display the characteristic form of exponential decay, in which the rate of decrease of pollutant concentration with distance is proportional to the concentration. The observation of an apparently irreducible or background pollutant concentration, C*, in many devices has led to development of the two-parameter “k-C*” model. It is known that this model is too simplistic because the parameters k and C* are not constant but can vary greatly with pollutant concentration and hydraulic conditions. This paper presents an alternative exponential decay model for filtration of particulate pollutants, which is based on simple mathematical descriptions of key removal processes. The model delivers a process-based method for estimating the exponential decay constant. Moreover, the need to specify a background concentration is eliminated. To test the theory, the model is applied to the removal of clay and silica particles from horizontal flow through an experimental gravel trench. Particle concentrations were measured at nine locations along a 7.2 m long flume. The model agrees very well with the observed change in suspended solids concentration for the two pollutant materials and the range of flow rates tested. A single model parameter, notionally representing the “stickiness” of pollutant particles, is required for different pollutant materials.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.iwaponline.com/wst/toc.htm
Alternative URI http://dx.doi.org/10.2166/wst.2007.113
Volume 55
Issue Number 4
Page from 227
Page to 234
ISSN 0273-1223
Date Accessioned 2008-05-23
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Soil and Water Sciences
URI http://hdl.handle.net/10072/19104
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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