AIMC Topic: Flocculation

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Evaluation of plant-based coagulants for turbidity removal and coagulant dosage prediction using machine learning.

Environmental technology Dec 11, 2024
This study investigates the use of six plant-based coagulants - , , , , , and for the removal of turbidity from wastewater effluent. The coagulants were characterized using Scanning Electron Microscopy (SEM) to determine morphological structure, X-r...
Water Purification Waste Disposal, Fluid Machine Learning Wastewater Acacia Flocculation Water Pollutants, Chemical Hydrogen-Ion Concentration
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Constructing a visual detection model for floc settling velocity using machine learning.

Journal of environmental management Oct 3, 2024
Optimizing the dosage of coagulant is a time-consuming process, and real-time evaluation of floc settling velocity can quickly predict the coagulation effect and optimize the dosage. This study used a convolutional neural network (CNN) model to analy...
Machine Learning Waste Disposal, Fluid Particle Size Flocculation Neural Networks, Computer
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Evaluation of enhanced chemical coagulation method for a case study on colloidal liquid particle in wastewater treatment: Statistical optimization analysis and implementation of machine learning.

Journal of environmental management Sep 10, 2024
Coal mines are one of the largest sources of energy supply and generate significant volumes of wastewater. Chemical coagulation is one of the most effective methods for wastewater treatment. In this research, ferric and aluminum-based coagulants, alo...
Machine Learning Waste Disposal, Fluid Ferric Compounds Wastewater Water Purification Flocculation Chlorides Colloids
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Real-time monitoring of activated sludge flocs via enhanced mask region-based Convolutional Neural networks.

Environmental research Aug 13, 2024
The functionality of activated sludge in wastewater treatment processes depends largely on the structural and microbial composition of its flocs, which are complex assemblages of microorganisms and their secretions. However, monitoring these flocs in...
Flocculation Environmental Monitoring Sewage Neural Networks, Computer Wastewater Algorithms Waste Disposal, Fluid
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Deep learning-based flocculation sensor for automatic control of flocculant dose in sludge dewatering processes during wastewater treatment.

Water research Jun 6, 2024
In sludge dewatering of most wastewater treatment plants (WWTPs), the dose of polymer flocculant is manually adjusted through direct visual inspection of the flocs without the aid of any instruments. Although there is a demand for the development of ...
Sewage Flocculation Deep Learning Waste Disposal, Fluid Wastewater Water Purification
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Applications of artificial intelligence (AI) in drinking water treatment processes: Possibilities.

Chemosphere Apr 10, 2024
In water treatment processes (WTPs), artificial intelligence (AI) based techniques, particularly machine learning (ML) models have been increasingly applied in decision-making activities, process control and optimization, and cost management. At leas...
Artificial Intelligence Machine Learning Filtration Water Purification Disinfection Flocculation Water Pollutants, Chemical Drinking Water Adsorption
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Modelling and optimisation of electrocoagulation/flocculation recovery of effluent from land-based aquaculture by artificial intelligence (AI) approaches.

Environmental science and pollution research international May 9, 2023
This study examined the modelling and optimisation of the electrocoagulation-flocculation (ECF) recovery of aquaculture effluent (AQE) using aluminium electrodes. The response surface methodology (RSM), artificial neural network (ANN), and adaptive n...
Flocculation Electrocoagulation Neural Networks, Computer Electrolysis Artificial Intelligence
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Predicting coagulation-flocculation process for turbidity removal from water using graphene oxide: a comparative study on ANN, SVR, ANFIS, and RSM models.

Environmental science and pollution research international May 26, 2022
Three artificial intelligence (AI) data-driven techniques, including artificial neural network (ANN), support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS), were applied for modeling and predicting turbidity removal from ...
Neural Networks, Computer Graphite Artificial Intelligence Flocculation Water
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Predicting flocculant dosage in the drinking water treatment process using Elman neural network.

Environmental science and pollution research international Aug 31, 2021
Predicting the flocculant dosage in the drinking water treatment process is essential for public health. However, due to the complexity of water quality and flocculation, many difficulties remain. The present study aimed to report on using artificial...
Flocculation Water Quality Drinking Water Neural Networks, Computer Artificial Intelligence
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Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach.

Chemosphere Nov 25, 2019
Polymer-assisted flocculation-dewatering of mineral processing tailings (MPT) is crucial for its environmental disposal. To reduce the number of laboratory experiments, this study proposes a novel and hybrid machine learning (ML) method for the predi...
Minerals Flocculation Machine Learning Principal Component Analysis Waste Disposal, Fluid Polymers
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