Effects of Cow Dung Biochar Amendment on Adsorption and Leaching of Nutrient from an Acid Yellow Soil Irrigated with Biogas Slurry

Knowledge of the saturated hydraulic conductivity (K _sat) 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 K _sat is time consuming and expensive. This study developed a novel transfer function to predict K _sat of coarse porous media from easily measured parameters. The hydro-physical parameters determined were K _sat, 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 K _sat and 10 variables obtained from the grain size distribution and bulk density. The optimal model for predicting K _sat 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 K _sat values were in good agreement with the measured values (R ²?=?0.91). The transfer function can find potential usage in relation to dimensioning of permeable agricultural drainage filters or subsurface-flow constructed wetlands. The predicted values of K _sat can also be used as input to numerical models that simulate filter treatment performance.