AIMC Topic: Clay

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Comparative immobilization of 30 PFAS mixtures onto biochar, clay, nanoparticle, and polymer derived engineered adsorbents: Machine learning insights into carbon chain length and removal mechanism.

Journal of hazardous materials Feb 25, 2025
Per- and polyfluoroalkyl substances (PFAS) are a group of fluorinated chemicals that cause potential risk in PFAS-impacted soil and water. The adsorption efficiency of 30 PFAS mixtures using different adsorbents in environmentally relevant concentrat...
Nanoparticles Water Pollutants, Chemical Machine Learning Polymers Fluorocarbons Clay Adsorption Charcoal
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Quantitative investigation and intelligent forecasting of thermal conductivity in lime-modified red clay.

PloS one Oct 10, 2024
This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. We systematically investigate the impact of wat...
Neural Networks, Computer Thermal Conductivity Water Oxides Calcium Compounds Clay Temperature Soil Machine Learning Forecasting
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Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed.

Journal of environmental management Sep 6, 2023
Excess nutrients in surface water and groundwater can lead to water quality deterioration in available water resources. Thus, the classification of nutrient concentrations in water resources has gained significant attention during recent decades. Mac...
Machine Learning Algorithms Phosphorus Clay Ontario Nutrients
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A robust prediction model for evaluation of plastic limit based on sieve # 200 passing material using gene expression programming.

PloS one Oct 3, 2022
This study aims to propose a novel and high-accuracy prediction model of plastic limit (PL) based on soil particles passing through sieve # 200 (0.075 mm) using gene expression programming (GEP). PL is used for the classification of fine-grained soil...
Artificial Intelligence Soil Clay Reproducibility of Results Sand Gene Expression Plastics
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Modeling consolidation of soft clay by developing a fractional differential constitutive model in conjunction with an intelligent displacement inversion method.

PloS one Sep 30, 2022
Studying the constitutive relation of soft clays is of critical importance for fundamentally understanding their complex consolidation behavior. This study proposes a fractional differential constitutive model in conjunction with an intelligent displ...
Support Vector Machine Least-Squares Analysis Rheology Clay Intelligence
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Comparing Delphi-fuzzy AHP and fuzzy logic membership in soil fertility assessment: a study of an active Ganga Delta in Sundarban Biosphere Reserve, India.

Environmental science and pollution research international Jul 29, 2022
The present study led to setting up a grid-based soil fertility map along with the best fit model in the coastal regions based on soil physical (coarse, sand, silt, clay, bulk density), chemical (CEC, pH, and soil organic carbon), topographic (elevat...
Carbon Clay Soil India Fuzzy Logic
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Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning.

Sensors (Basel, Switzerland) Apr 9, 2022
To identify the unknown values of the parameters of Burger's constitutive law, commonly used for the evaluation of the creep behavior of the soft soils, this paper demonstrates a procedure relying on the data obtained from multiple sensors, where eac...
Clay Algorithms Soil Neural Networks, Computer Machine Learning
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Performance evaluation of nanotubular halloysites from weathered pegmatites in removing heavy metals from water through novel artificial intelligence-based models and human-based optimization algorithm.

Chemosphere Jun 3, 2021
The efforts of this study aimed to evaluate the feasibility of the nanotubular halloysites in weathered pegmatites (NaHWP) for removing heavy metals (i.e., Cd, Pb) from water. Furthermore, two novel intelligent models, such as teaching-learning-based...
Humans Clay Water Metals, Heavy Artificial Intelligence Algorithms
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Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models.

Environmental science and pollution research international Feb 20, 2021
This study investigates the performance of support vector machine (SVM), multivariate adaptive regression spline (MARS), and random forest (RF) models for predicting the lead (Pb) adsorption by attapulgite clay. Models are constructed using batch sto...
Adsorption Intelligence Artificial Intelligence Lead Silicon Compounds Magnesium Compounds Feasibility Studies Clay
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Artificial neural network model to predict transport parameters of reactive solutes from basic soil properties.

Environmental pollution (Barking, Essex : 1987) Oct 10, 2019
Measurement of solute-transport parameters through soils for a wide range of solute- and soil-types is time-consuming, laborious, expensive and practically impossible. So, indirect methods for estimating the transport parameters by pedo-transfer func...
Soil Pollutants Bangladesh Agriculture Solutions Neural Networks, Computer Environmental Monitoring Clay Soil
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