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A simplified transfer function for estimating saturated hydraulic conductivity of porous drainage filters

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Authors:
  • Canga, Eriona ;
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    unknown
  • Iversen, Bo Vangsø ;
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    Orcid logo0000-0002-2276-0233
    Department of Agroecology - Soil Physics and Hydropedology, Department of Agroecology, Science and Technology, Aarhus University
  • Kjærgaard, Charlotte
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    Department of Agroecology - Soil Physics and Hydropedology, Department of Agroecology, Science and Technology, Aarhus University
DOI:
10.1007/s11270-013-1794-8
Abstract:
Knowledge of the saturated hydraulic conductivity (Ksat) of porous filters used in water treatment technologies is important for optimizing the retention of nutrients and pollutants. This parameter determines the hydraulic capacity, which together with the Chemical properties of the filter media, affects the treatment performance of the filter system. However, measuring Ksat is time consuming and expensive. This study developed a novel transfer function to predict Ksat of coarse porous media from easily measured parameters. The hydrophysical parameters determined were Ksat, grain size distribution, bulk density, uniformity coefficient, particle density, and porosity of 46 porous media fractions. The fractions ranged in grain size from 0.5 to 20 mm and were obtained from seven commercial available coarse filter materials. A backward stepwise regression analysis was performed between Ksat and 10 variables obtained from the grain size distribution and bulk density. The optimal model for predicting Ksat contained two parameters, D20 and D50, which describe respectively the particle diameters, where 20 and 50 % of all particles are finer by weight. The predicted Ksat values were in good agreement with the measured values (R2=0.91). The transfer function can find potential usage in relation to dimensioning of permeable
Type:
Journal article
Language:
English
Published in:
Water, Air and Soil Pollution, 2013, Vol 225, Issue 1
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2013
Scientific Level:
Scientific
ID:
257069588

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