Estimation of soil cation exchange capacity using genetic expression programming (GEP) and multivariate adaptive regression splines (MARS)

S Emamgolizadeh, SM Bateni, D Shahsavani… - Journal of …, 2015 - Elsevier
The soil cation exchange capacity (CEC) is one of the main soil chemical properties, which
is required in various fields such as environmental and agricultural engineering as well as …

Modeling soil cation exchange capacity in multiple countries

Y Khaledian, EC Brevik, P Pereira, A Cerdà, MA Fattah… - Catena, 2017 - Elsevier
Cation exchange capacity (CEC), as an important indicator for soil quality, represents soil's
ability to hold positively charged ions. We attempted to predict CEC using different statistical …

[HTML][HTML] Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

S Emamgholizadeh, A Bazoobandi… - Ain Shams Engineering …, 2023 - Elsevier
Cation exchange capacity (CEC) has a key role in soil studies such as agriculture, energy
balance, characteristics of the soil for food, maintaining water in the soil as well as soil …

New hybrid nature-based algorithm to integration support vector machine for prediction of soil cation exchange capacity

S Emamgholizadeh, B Mohammadi - Soft computing, 2021 - Springer
Soil cation exchange capacity (CEC) strongly influences the chemical, physical, and
biological properties of soil. As the direct measurement of the CEC is difficult, costly, and …

Modification of the USLE K factor for soil erodibility assessment on calcareous soils in Iran

Y Ostovari, S Ghorbani-Dashtaki, HA Bahrami… - Geomorphology, 2016 - Elsevier
The measurement of soil erodibility (K) in the field is tedious, time-consuming and
expensive; therefore, its prediction through pedotransfer functions (PTFs) could be far less …

Evaluating models to estimate cation exchange capacity of calcareous soils

F Razzaghi, E Arthur, AA Moosavi - Geoderma, 2021 - Elsevier
Cation exchange capacity (CEC) is one of the fundamental properties of soil that indicates
soil's ability to retain exchangeable cations. Several regression-based models exist to …

Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models

A Bazoobandi, S Emamgholizadeh… - European Journal of …, 2022 - Taylor & Francis
Contamination issues especially heavy metals such as cadmium (Cd) and lead (Pb) are
currently considered as one of the most important and unsolved issues, which are directly …

A comparison of artificial intelligence models for the estimation of daily suspended sediment load: a case study on the Telar and Kasilian rivers in Iran

S Emamgholizadeh, RK Demneh - Water Supply, 2019 - iwaponline.com
The estimation of the suspended sediment load in rivers is one of the main issues in
hydraulic engineering. Different traditional methods such as the sediment rating curve (SRC) …

Comparative study of statistical, numerical and machine learning-based pedotransfer functions of water retention curve with particle size distribution data

S Amanabadi, M Vazirinia, H Vereecken… - Eurasian Soil …, 2019 - Springer
The water retention curve (WRC) describes the nonlinear relation of soil water content
(SWC) and matric potential. Since direct measurement of SWC and matric potential is …

Estimating soil water retention curve by extreme learning machine, radial basis function, M5 tree and modified group method of data handling approaches

M Rastgou, H Bayat, M Mansoorizadeh… - Water Resources …, 2022 - Wiley Online Library
Key Points The radial basis function (RBF) network has strong tolerance to input noise RBF,
M5 tree, and modified group method of data handling methods were considerably better …