作者: Eriona Canga , Bo Vangsø Iversen , Charlotte Kjaergaard
DOI: 10.1007/S11270-013-1794-8
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摘要: Knowledge of the saturated hydraulic conductivity (K sat) porous filters used in water treatment technologies is important for optimizing retention nutrients and pollutants. This parameter determines capacity, which together with chemical properties filter media, affects performance system. However, measuring K sat time consuming expensive. study developed a novel transfer function to predict coarse media from easily measured parameters. The hydro-physical parameters determined were sat, grain size distribution, bulk density, uniformity coefficient, particle porosity 46 fractions. fractions ranged 0.5 20 mm obtained seven commercial available materials. A backward stepwise regression analysis was performed between 10 variables distribution density. optimal model predicting contained two parameters, D20 D50, describe respectively diameters, where 20 50 % all particles are finer by weight. predicted values good agreement (R 2 = 0.91). can find potential usage relation dimensioning permeable agricultural drainage or subsurface-flow constructed wetlands. also be as input numerical models that simulate performance.