Modeling the Relationship between Capillary Suction Time and Specific Resistance to Filtration
Publication: Journal of Environmental Engineering
Volume 136, Issue 9
Abstract
The capillary suction time (CST) and the specific resistance to filtration (SRF) tests are both commonly used to estimate sludge dewaterability. Both tests are known to be empirically related but the SRF is much more expensive and time consuming compared with the CST test. The aim of this study was therefore to develop a prediction methodology to obtain SRF test results from the data generated by CST tests under different experimental conditions. This study is based on empirical data sets linking CST with SRF. The prediction equations were developed by first estimating filterability from CST values and then relating it with SRF values using regression analyses. The relationships between the results of the CST and SRF tests were best described using an empirical model, which incorporated logarithmic and squared terms to account for the nonlinear relationship between filterability, total suspended solids, and temperature. The findings were statistically significant and the model satisfied all the statistical assumptions. Therefore, the model can be used to predict SRF from CST values.
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Acknowledgments
The writers wish to acknowledge the financial support received from Triton Electronics and The University of Edinburgh.
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Published In
Journal of Environmental Engineering
Volume 136 • Issue 9 • September 2010
Pages: 983 - 991
Copyright
© 2010 ASCE.
History
Received: May 21, 2009
Accepted: Jan 8, 2010
Published online: Jan 15, 2010
Published in print: Sep 2010
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