A review is given on the state of modelling of fixed-bed adsorption processes in drinking water treatment with special consideration of parameter estimation. In particular, the Homogenous Surface Diffusion Model (HSDM) and the Linear Driving Force Model (LDF model) are compared and evaluated with respect to availability of the required model parameters. In this context, methods for predicting equilibrium and mass transfer parameters are critically discussed under particular consideration of the specific drinking water characteristics. Feasibilities and limits of different approaches for estimating equilibrium parameters are exemplarily shown. In particular, Polanyi's potential theory, a modified Freundlich equation, and the adsorption analysis for complex mixture solutions are considered. Furthermore, empirical correlations for predicting mass transfer coefficients for single-solute and multi-component adsorbate systems are presented and evaluated.
Skip Nav Destination
Article navigation
May 2008
This article was originally published in
Journal of Water Supply: Research and Technology-Aqua
Article Contents
Research Article|
May 01 2008
Fixed-bed adsorption in drinking water treatment: a critical review on models and parameter estimation
Eckhard Worch
1Dresden University of Technology, Institute of Water Chemistry, D-01062, Dresden, Germany
Tel.: +49 351 463 32759 Fax: +49 351 463 37271; E-mail: [email protected]
Search for other works by this author on:
Journal of Water Supply: Research and Technology-Aqua (2008) 57 (3): 171–183.
Article history
Received:
December 15 2006
Accepted:
November 12 2007
Citation
Eckhard Worch; Fixed-bed adsorption in drinking water treatment: a critical review on models and parameter estimation. Journal of Water Supply: Research and Technology-Aqua 1 May 2008; 57 (3): 171–183. doi: https://doi.org/10.2166/aqua.2008.100
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00