Modeling soil cation exchange capacity in multiple countries
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 …
ability to hold positively charged ions. We attempted to predict CEC using different statistical …
Evaluation of machine learning models for predicting the temporal variations of dust storm index in arid regions of Iran
Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
It is necessary to predict wind erosion events and specify the related effective factors to
prioritize management and executive measures to combat desertification caused by wind …
prioritize management and executive measures to combat desertification caused by wind …
Comparison of Bayesian, k-Nearest Neighbor and Gaussian process regression methods for quantifying uncertainty of suspended sediment concentration prediction
Suspended sediment transport in river system is a complex process influenced by many
factors that their interactions lead to nonlinear and high scatter of concentration-discharge …
factors that their interactions lead to nonlinear and high scatter of concentration-discharge …
Mechanism of biochar soil pore–gas–water interaction: gas properties of biochar-amended sandy soil at different degrees of compaction using KNN modeling
Soil compaction has contrasting effect on soil strength (ie, positive) and vegetation growth
(ie, negative), respectively. Biochar has been utilized mostly in combination with soils in both …
(ie, negative), respectively. Biochar has been utilized mostly in combination with soils in both …
Predictive mapping of soil organic carbon in Northeast Algeria
Soils of semi-arid climates undergo organic carbon loss, which in turn affects their
agricultural potential. Geostatistics is often used as an interpolation tool to thoroughly …
agricultural potential. Geostatistics is often used as an interpolation tool to thoroughly …
Forecasting of carbon emission in China based on gradient boosting decision tree optimized by modified whale optimization algorithm
X Cui, SE, D Niu, B Chen, J Feng - Sustainability, 2021 - mdpi.com
As the global temperature continues to rise, people have become increasingly concerned
about global climate change. In order to help China to effectively develop a carbon peak …
about global climate change. In order to help China to effectively develop a carbon peak …
[HTML][HTML] K-nearest neighbor based computational intelligence and RSM predictive models for extraction of Cadmium from contaminated soil
ND Mu'azu, SO Olatunji - Ain Shams Engineering Journal, 2023 - Elsevier
Computational intelligence (CI) predictive models based on k-Nearest Neighbor (KNN)
algorithms were developed for Cd ions removal from contaminated soil using …
algorithms were developed for Cd ions removal from contaminated soil using …
Assessing the performance of decision tree and neural network models in mapping soil properties
F Hateffard, P Dolati, A Heidari… - Journal of Mountain …, 2019 - Springer
To build any spatial soil database, a set of environmental data including digital elevation
model (DEM) and satellite images beside geomorphic landscape description are essentials …
model (DEM) and satellite images beside geomorphic landscape description are essentials …
[HTML][HTML] Effect of measurement error in wet chemistry soil data on the calibration and model performance of pedotransfer functions
Soil properties that are considered difficult to measure are frequently determined through
pedotransfer functions (PTFs). Calibration and validation datasets, containing …
pedotransfer functions (PTFs). Calibration and validation datasets, containing …
Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models
Accurate knowledge about soil cation exchange capacity (CEC) is very important in land
drainage and reclamation, groundwater pollution studies and modeling chemical …
drainage and reclamation, groundwater pollution studies and modeling chemical …