Corrigendum: Hydraulic conductivity of saturated granular soils determined using a constriction-based technique

Estimating the Saturated Hydraulic Conductivity of Granular Material, Using Artificial Neural Network, Based on Grain Size Distribution Curve

estimating the saturated hydraulic conductivity of granular material, using artificial neural network, based on grain size distribution curve

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a nonparametric model by using k-nearest neighbor technique for predicting soil saturated hydraulic conductivity

abstract saturated hydraulic conductivity (ks) is needed for many studies related to water and solute transport, but often cannot be measured because of practical and/or cost-related reasons. nonparametric approaches are being used in various fields to estimate continuous variables. one type of the nonparametric lazy learning algorithms, a k-nearest neighbor (k-nn) algorithm, was introduced and...

Characterization of field saturated hydraulic conductivity

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract In the context of studies aiming at the estimation of effective parameters for unsaturated zone modelling, this work tackles the problem of experimental data quality, considering the large collection of data gathered at an experimental sit...

Saturated Hydraulic Conductivity of Semiarid Soils: Combined Effects of Salinity, Sodicity, and Rate of Wetting

als, high pH, and low sesquioxides content was found to be susceptible to sodic conditions, with the magnitude Combined effects of soil conditions (wetting rate), soil sodicity, of the decrease in HC being strongly dependent on the and salinity on soil saturated hydraulic conductivity (HC) have not been studied systematically and were the objective of our study. We electrolyte concentration in ...