Test of the Rosetta Pedotransfer Function for Saturated Hydraulic Conductivity

Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity

Saturated hydraulic conductivity Ksat is a fundamental characteristic in modeling flow and contaminant transport in soils and sediments. Therefore, many models have been developed to estimate Ksat from easily measureable parameters, such as textural properties, bulk density, etc. However, Ksat is not only affected by textural and structural characteristics, but also by sample dimensions e.g., i...

Estimating Hydraulic Conductivity Using Pedotransfer Functions

Estimating the Saturated Hydraulic Conductivity of Soil Using Gene Expression Programming Method and Comparing It with the Pedotransfer Functions

Saturated hydraulic conductivity of soil is an important physical property of soil that affects water movement in soil, Since the measurement of saturated hydraulic conductivity by direct methods in the field or in the laboratory is hard, time-consuming and costly, the indirect methods are being used.The aim of this study is to estimate the saturated hydraulic conductivity from other soil prope...

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...

The Relationship between Perc Time and Field-saturated Hydraulic Conductivity for Cylindrical Test Holes

Correlations between Perc Time (PT) and field-saturated hydraulic conductivity (Kfs) are often used in development of on-site water recycling and treatment facilities that operate by infiltration into unsaturated soil. The accuracy and utility of these correlations is suspect, however, because they differ greatly from each other, and they derive from empirical regressions or simplified analyses...