Using machine learning for prediction of saturated hydraulic conductivity and its sensitivity to soil structural perturbations

SN Araya, TA Ghezzehei - Water Resources Research, 2019 - Wiley Online Library
Saturated hydraulic conductivity (Ks) is a fundamental soil property that regulates the fate of
water in soils. Its measurement, however, is cumbersome and instead pedotransfer functions …

Evaluation of machine learning algorithms in the prediction of hydraulic conductivity and soil moisture at the Brazilian Savannah

MF Veloso, LN Rodrigues, EI Fernandes Filho - Geoderma Regional, 2022 - Elsevier
Abstract The Brazilian Savannah (Cerrado biome) is the the main agricultural region in
Brazil. The Cerrado has experienced a growing intensification of agriculture and an increase …

Comparing visible-near-infrared spectroscopy with classical regression pedotransfer functions for predicting near-saturated and saturated hydraulic conductivity of …

H Mozaffari, AA Moosavi, Y Ostovari, W Cornelis - Journal of Hydrology, 2022 - Elsevier
Measurement of hydraulic parameters, which are very important in soil–water and
environmental studies, is difficult, time-consuming, and expensive. Therefore, the present …

[HTML][HTML] Dominant factors determining the hydraulic conductivity of sedimentary aquitards: A random forest approach

MD van Leer, WJ Zaadnoordijk, A Zech, J Buma… - Journal of …, 2023 - Elsevier
Aquitards are common hydrogeological features and their hydraulic conductivity is an
important property for various groundwater management issues. Predicting their hydraulic …

Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils

H Mozaffari, AA Moosavi, MA Nematollahi - Plos one, 2024 - journals.plos.org
Hydraulic conductivity (K ψ) is one of the most important soil properties that influences water
and chemical movement within the soil and is a vital factor in various management practices …

Machine learning-based modeling of saturated hydraulic conductivity in soils of tropical semi-arid zone of India

SB More, PC Deka, AP Patil, SR Naganna - Sādhanā, 2022 - Springer
Saturated hydraulic conductivity (Kfs) is the major parameter that affects the movement of
water and solutes in soil strata. Although one can estimate the Kfs directly by using various …

Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches

MR Hajizadeh Javaran, MM Rajabi, N Kamali, M Fahs… - Water, 2023 - mdpi.com
The computational cost of approximating the Richards equation for water flow in unsaturated
porous media is a major challenge, especially for tasks that require repetitive simulations …

Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity

J Khatti, KS Grover - Earth Science Informatics, 2024 - Springer
This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …

[PDF][PDF] X-ray computed tomography: Validation of the effect of pore size and its connectivity on saturated hydraulic conductivity.

AY Mady, EV Shein, KN Abrosimov… - Soil & …, 2021 - researchgate.net
Saturated hydraulic conductivity (Ks) is widely utilized in soil hydrology. Ks not only can be
proportional to total porosity, but also depends on soil porous system properties such as …

Estimating soil thermal diffusivity using Pedotransfer functions with nonlinear regression

AY Mady, E Shein - The Open Agriculture Journal, 2018 - benthamopen.com
Materials and Methods: Soil thermal diffusivity was measured at different values of water
content using Kondratieff method. The parameters of the quadratic equation, which …