Your browser doesn't support javascript.
loading
Predictive modelling of dispersion controlled reactive plumes at the laboratory-scale.
Ham, P A S; Prommer, H; Olsson, A H; Schotting, R J; Grathwohl, P.
Affiliation
  • Ham PA; Utrecht University, Hydrogeology Group, P.O. Box 80021, 3508 TA, Utrecht, Holland, The Netherlands. hamp@porus-solutions.co.uk
J Contam Hydrol ; 93(1-4): 304-15, 2007 Aug 15.
Article in En | MEDLINE | ID: mdl-17559967
ABSTRACT
A model-based interpretation of laboratory-scale experimental data is presented. Hydrolysis experiments carried out using thin glass tanks filled with glass beads to construct a hypothetical and inert, homogeneous porous medium were analysed using a 2D numerical model. A new empirical formula, based upon results for non-reactive (tracer) experiments is used to calculate transversal dispersivity values for a range of grain sizes and any flow velocities. Combined with effective diffusion coefficients calculated from Stokes-Einstein type equations, plume lengths arising from mixing between two solutes can be predicted accurately using numerical modelling techniques. Moreover, pH and ion concentration profiles lateral to the direction of flow of the mixing species can be determined at any given point downstream, without the need for result fitting. In our case, this approach does not lead to overpredictions of lateral mixing, as previously reported when using parameters derived from non-reactive tracer experiments to describe reactive solute transport. The theory is based on the assumption of medium homogeneity.
Subject(s)
Search on Google
Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Environmental Monitoring / Water Purification Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Contam Hydrol Year: 2007 Document type: Article
Search on Google
Collection: 01-internacional Health context: 2_ODS3 Database: MEDLINE Main subject: Environmental Monitoring / Water Purification Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Contam Hydrol Year: 2007 Document type: Article