This study presents novel intelligent modeling of the hydraulic conductivity (k) of sandy soil
by employing machine learning (ML) algorithms ie, artificial neural network (ANN), multi …

Many studies describe soil samples by their grain/particle size distribution (GSD/PSD). Most
samples are poly-disperse collections of solids. The paper reviews earlier methods to …

The soil-water characteristic curve (SWCC) contains information regarding the geometric
pore space in a soil and is commonly used to estimate unsaturated soil properties, such as …

In the field of soil hydrology, pore structure is a key factor affecting soil permeability. This
paper uses micro-CT scanning technology to visualize and quantitatively analyze the impact …

The coefficient of permeability is the most important parameter for characterizing the
permeability characteristics of soil. In this study, a database of the coefficient of permeability …

Changes in climatic conditions are expected globally resulting in a higher rainfall intensity
and longer duration of rainfall. The increase in the rainwater infiltration into the soil …

Raindrop splashing causes pore blockage in topsoil and reduces its infiltration capacity. In
this study, simulated rainfall and infiltration tests were used to analyze the relationship …

This paper reviews commonly used parameters and prediction models for assessing the
permeability of granular soils. Following a review of published models for prediction of soil …

Abstract Knowledge of hydraulic conductivity is crucial for determining water movement in
frozen soil, and the objective of this study is to introduce the soil freezing characteristic curve …

The hydraulic properties of soil (ie soil-water characteristic curve (SWCC) and coefficient of
permeability) govern the moisture flow in it. Previous research has indicated that the …