AIMC Topic: Water Purification
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Toxicity of titanium dioxide nanoparticles on Pseudomonas putida.
Water research
Dec 29, 2015
The increasing use of engineered nanoparticles (NPs) in industrial and household applications will very likely lead to the release of such materials into the environment. As wastewater treatment plants (WWTPs) are usually the last barrier before the ...
Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case.
Environmental science and pollution research international
Nov 17, 2015
The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA) model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular Reactor (SBBGR) with the aim of providing an effective tool for predicting the fl...
Prediction of effluent concentration in a wastewater treatment plant using machine learning models.
Journal of environmental sciences (China)
Apr 20, 2015
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentratio...
A hybrid artificial neural network and particle swarm optimization for prediction of removal of hazardous dye brilliant green from aqueous solution using zinc sulfide nanoparticle loaded on activated carbon.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Sep 22, 2014
In the present study, zinc sulfide nanoparticle loaded on activated carbon (ZnS-NP-AC) simply was synthesized in the presence of ultrasound and characterized using different techniques such as SEM and BET analysis. Then, this material was used for br...
Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms.
New biotechnology
Sep 16, 2014
We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described wel...
Combination of artificial neural network and genetic algorithm method for modeling of methylene blue adsorption onto wood sawdust from water samples.
Toxicology and industrial health
Oct 23, 2013
The aim of this research was to develop a low price and environmentally friendly adsorbent with abundant of source to remove methylene blue (MB) from water samples. Sawdust solid-phase extraction coupled with high-performance liquid chromatography wa...
Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.
Bioresource technology
Sep 1, 2025
For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastewater have been explored. However, balancing nitrogen removal performance and resource recovery potential in PSB has remained a key unresolved issue fo...
Performance analysis of machine learning algorithms for the prediction of disinfection byproducts formation during chlorination: Effect of background water characteristics.
Journal of environmental management
Aug 1, 2025
This study investigated the comparison of the nonlinear machine learning algorithms and linear regression models to predict the formation of trihalomethanes (THM4), haloacetic acids (HAA5 and HAA9), and haloacetonitriles (HAN4 and HAN6) under uniform...
Potential risks and hazards posed by the pressure of pharmaceuticals and personal care products on water treatment plants.
Environmental pollution (Barking, Essex : 1987)
Aug 1, 2025
Pharmaceuticals and personal care products (PPCPs) are widely used in various industrial and commercial products, contributing to their substantial presence in the environment. In recent years, numerous studies have focused on the environmental behav...
Electrochemical activation of alum sludge for the adsorption of lead (Pb(II)) and arsenic (As): Mechanistic insights and machine learning (ML) analysis.
Bioresource technology
Aug 1, 2025
Alum sludge (AlS) has emerged as an effective adsorbent for anionic contaminants, with traditional activation methods like acid/base treatments and calcination employed to enhance its adsorption capacity. However, these approaches encounter significa...
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