Drinking Water Engineering and Science www.drink-water-eng-sci.net 1996-9457 1996-9465 2 2 2009 10.5194/dwes-2-57-2009 http://www.drink-water-eng-sci.net/2/57/2009/ http://www.drink-water-eng-sci.net/2/57/2009/dwes-2-57-2009.html http://www.drink-water-eng-sci.net/2/57/2009/dwes-2-57-2009.pdf 57 62 2009-12-22 Development of a predictive model to determine micropollutant removal using granular activated carbon D. J. de Ridder d.j.deridder@tudelft.nl M. McConville A. R. D. Verliefde L. T. J. van der Aa S. G. J. Heijman J. Q. J. C. Verberk L. C. Rietveld J. C. van Dijk Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands UNESCO Centre for Membrane Science & Technology, University of New South Wales, NSW 2052, Sydney, Australia Waternet, P.O. Box 94370, 1090 GJ, Amsterdam, The Netherlands KWR Watercycle Research Institute, P.O. Box 1072, 3430BB Nieuwegein, The Netherlands The occurrence of organic micropollutants in drinking water and its sources has opened up a field of study related to monitoring concentration levels in water sources, evaluating their toxicity and estimating their removal in drinking water treatment processes. Because a large number of organic micropollutants is currently present (although in relatively low concentrations) in drinking water sources, a method should be developed to select which micropollutants has to be evaluated with priority. In this paper, a screening model is presented that can predict solute removal by activated carbon, in ultrapure water and in natural water. Solute removal prediction is based on a combination of solute hydrophobicity (expressed as log <i>D</i>, the pH corrected log <i>K</i>_ow), solute charge and the carbon dose. 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