Pedotransfer functions in Earth system science: Challenges and perspectives

K Van Looy, J Bouma, M Herbst, J Koestel… - Reviews of …, 2017 - Wiley Online Library
Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides
multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to …

Predicting soil properties in the tropics

B Minasny, AE Hartemink - Earth-Science Reviews, 2011 - Elsevier
It is practically impossible to measure soil properties continuously at each location across
the globe. Therefore, it is necessary to have robust systems that can predict soil properties at …

Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity

K Singh, B Singh, P Sihag, V Kumar… - Modeling Earth Systems …, 2023 - Springer
The knowledge of the unsaturated hydraulic conductivity (K) is very essential for the various
fields of water resources, irrigation, and hydrology. It is also important to know the …

Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity

P Sihag, S Mohsenzadeh Karimi, A Angelaki - Applied Water Science, 2019 - Springer
Hydraulic conductivity of soil reveals its influencing role in the studies related to
management of surface and subsurface flow, eg irrigation and drainage projects, and solute …

Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil

M Rezaei, SR Mousavi, A Rahmani… - … and Electronics in …, 2023 - Elsevier
Saturated soil hydraulic conductivity (K sat) is a key component in hydrogeology and water
management. This study aimed at evaluating popular tree-based machine learning …

A comparison of Gaussian process and M5P for prediction of soil permeability coefficient

BT Pham, HB Ly, N Al-Ansari, LS Ho - Scientific Programming, 2021 - Wiley Online Library
The permeability coefficient (k) of soil is one of the most important parameters affecting soil
characteristics such as shear strength or settlement. Thus, determining soil permeability …

Predicting the hydraulic conductivity of compacted soil barriers in landfills using machine learning techniques

Y Tan, P Zhang, J Chen, R Shamet, BH Nam, H Pu - Waste Management, 2023 - Elsevier
Abstract Machine learning models (MLMs) were developed to predict saturated hydraulic
conductivity of compacted soil barriers and help to identify appropriate soils for the …

Using pedotransfer functions to estimate soil hydraulic conductivity in the Loess Plateau of China

C Zhao, M Shao, X Jia, M Nasir, C Zhang - Catena, 2016 - Elsevier
Soil hydraulic conductivity (K s) is a crucial soil physical property that not only influences soil
hydrological processes, but also the planning for vegetation recovery, irrigation practice and …

Multiple AI model integration strategy—application to saturated hydraulic conductivity prediction from easily available soil properties

MH Kashani, MA Ghorbani, M Shahabi… - Soil and Tillage …, 2020 - Elsevier
A multiple model integration scheme driven by artificial neural network (ANN)(MM-ANN) was
developed and tested to improve the prediction accuracy of soil hydraulic conductivity (Ks) in …

Support vector machine and regression analysis to predict the field hydraulic conductivity of sandy soil

MS Elbisy - KSCE Journal of Civil Engineering, 2015 - Springer
Saturated hydraulic conductivity is one of the key parameters in soil physics and
hydrological modeling. This study explores the use of Support Vector Machine (SVM) and a …