AIMC Topic: Water Purification

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An osmotic membrane bioreactor-clarifier system with a deep learning model for simultaneous reduction of salt accumulation and membrane fouling.

Chemosphere Feb 6, 2021
This study investigates a novel hybrid configuration of an osmotic membrane bioreactor-clarifier (OMBRC) to achieve the simultaneous reduction of salt accumulation and membrane fouling. Compared with the conventional OMBR, the OMBRC demonstrated 14 t...
Artificial Intelligence Wastewater Bioreactors Membranes, Artificial Osmosis Water Purification Deep Learning
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A cumulative-risk assessment method based on an artificial neural network model for the water environment.

Environmental science and pollution research international Jan 25, 2021
To analyze the cumulative risks to the water environment, the backpropagation artificial neural network (BP-ANN), a self-adapting algorithm, was proposed in this study. A new comprehensive indicator of cumulative risks was formed by combining the wat...
Risk Assessment Water Algorithms Water Purification Neural Networks, Computer
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Rotatable central composite design versus artificial neural network for modeling biosorption of Cr by the immobilized Pseudomonas alcaliphila NEWG-2.

Scientific reports Jan 18, 2021
Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that d...
Water Pollutants, Chemical Adsorption Regression Analysis Neural Networks, Computer Water Purification Pseudomonas Cells, Immobilized Surface Properties Spectrometry, X-Ray Emission Chromium Ions
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Integrated Model for Understanding NO Emissions from Wastewater Treatment Plants: A Deep Learning Approach.

Environmental science & technology Jan 12, 2021
This study aims to demonstrate the application of deep learning to quantitatively describe long-term full-scale data observed from wastewater treatment plants (WWTPs) from the perspectives of process modeling, process analysis, and forecasting modeli...
Bioreactors Water Purification Nitrous Oxide Deep Learning Wastewater
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Spectrophotometric Online Detection of Drinking Water Disinfectant: A Machine Learning Approach.

Sensors (Basel, Switzerland) Nov 21, 2020
The spectra fingerprint of drinking water from a water treatment plant (WTP) is characterised by a number of light-absorbing substances, including organic, nitrate, disinfectant, and particle or turbidity. Detection of disinfectant (monochloramine) c...
Disinfectants Drinking Water Water Supply Machine Learning Water Purification
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A Framework to Prioritize the Public Expectations from Water Treatment Plants based on Trapezoidal Type-2 Fuzzy Ahp Method.

Environmental management Sep 29, 2020
Water treatment plants play a major role in the cycle of water recovery and reuse. Besides the benefits of water treatment plants, they have a great impact on the environment, social life, economy, and natural habitats. In this sense, decision-makers...
Fuzzy Logic Motivation Water Purification Reproducibility of Results
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Application of a new HMW framework derived ANN model for optimization of aquatic dissolved organic matter removal by coagulation.

Chemosphere Jul 29, 2020
Removing dissolved organic matter (DOM) with polyaluminium chloride is one of the primary goals of drinking water treatment. In this study, a new HMW framework was proposed, which divided the factors affecting coagulation into three parts consisting ...
Neural Networks, Computer Metals Water Purification Drinking Water Models, Theoretical Hydrogen-Ion Concentration Aluminum Hydroxide
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Feedforward Artificial Neural Network-Based Model for Predicting the Removal of Phenolic Compounds from Water by Using Deep Eutectic Solvent-Functionalized CNTs.

Molecules (Basel, Switzerland) Mar 26, 2020
In the recent decade, deep eutectic solvents (DESs) have occupied a strategic place in green chemistry research. This paper discusses the application of DESs as functionalization agents for multi-walled carbon nanotubes (CNTs) to produce novel adsorb...
Phenols Kinetics Nanotubes, Carbon Solvents Water Pollutants, Chemical Adsorption Water Purification Models, Theoretical Neural Networks, Computer Algorithms
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Radial basis function artificial neural network able to accurately predict disinfection by-product levels in tap water: Taking haloacetic acids as a case study.

Chemosphere Jan 22, 2020
Control of risks caused by disinfection by-products (DBPs) requires pre-knowledge of their levels in drinking water. In this study, a radial basis function (RBF) artificial neural network (ANN) was proposed to predict the concentrations of haloacetic...
Water Pollutants, Chemical Neural Networks, Computer Disinfection China Water Purification Trihalomethanes Disinfectants Environmental Monitoring Drinking Water
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Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent.

International journal of molecular sciences Aug 28, 2019
Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural network (ANN) technique was used for modelling the functionalized CNTs adsorption capacity. T...
Nanotubes, Carbon Adsorption Solvents Neural Networks, Computer Mercury Water Purification
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