AIMC Topic: Wastewater

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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...
Waste Management Biological Oxygen Demand Analysis Travel Phosphorus Sewage Bioreactors Nitrogen Neural Networks, Computer Wastewater Biomass Waste Disposal, Fluid Water Purification
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Characteristics of pellets with immobilized activated sludge and its performance in increasing nitrification in sequencing batch reactors at low temperatures.

Journal of environmental sciences (China) Oct 28, 2015
Immobilized pellets obtained by means of entrapping activated sludge in waterborne polyurethane were successfully adapted in ammonium (NH4(+)-N) synthetic wastewater. Its physicochemical characteristics were determined using scanning electron microsc...
Cold Temperature Wastewater Bioreactors Nitrification Waste Disposal, Fluid Sewage
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Enhancement of ultrasonic disintegration of sewage sludge by aeration.

Journal of environmental sciences (China) Oct 28, 2015
Sonication is an effective way for sludge disintegration, which can significantly improve the efficiency of anaerobic digestion to reduce and recycle use of sludge. But high energy consumption limits the wide application of sonication. In order to im...
Sewage Sonication Wastewater Waste Disposal, Fluid
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Sequential dynamic artificial neural network modeling of a full-scale coking wastewater treatment plant with fluidized bed reactors.

Environmental science and pollution research international Jun 7, 2015
This study proposed a sequential modeling approach using an artificial neural network (ANN) to develop four independent models which were able to predict biotreatment effluent variables of a full-scale coking wastewater treatment plant (CWWTP). Suita...
Neural Networks, Computer Models, Theoretical Coke Wastewater Waste Disposal, Fluid
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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...
Sensitivity and Specificity Support Vector Machine Water Quality Nitrogen Prognosis Neural Networks, Computer Republic of Korea Wastewater Water Purification
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Artificial neural network modelling of pharmaceutical residue retention times in wastewater extracts using gradient liquid chromatography-high resolution mass spectrometry data.

Journal of chromatography. A Mar 30, 2015
The modelling and prediction of reversed-phase chromatographic retention time (tR) under gradient elution conditions for 166 pharmaceuticals in wastewater extracts is presented using artificial neural networks for the first time. Radial basis functio...
Neural Networks, Computer Wastewater Drug Residues Mass Spectrometry Chromatography, Reverse-Phase Water Pollutants, Chemical
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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...
Deep Learning Bacterial Proteins Wastewater Water Purification Photosynthesis Nitrogen Biological Oxygen Demand Analysis Neural Networks, Computer
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Advances in sulfate-reducing bacteria-driven bioelectrolysis: mechanisms and applications in microbial electrolysis cell technology.

Environmental research Aug 15, 2025
The discharge of sulfate-rich wastewater from chemical and pharmaceutical and food processing industries results in serious environmental problems that impact both the natural environment and human health. The conventional sulfate removal process usi...
Wastewater Bacteria Electrolysis Sulfates Waste Disposal, Fluid Bioelectric Energy Sources Biodegradation, Environmental
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Machine Learning-Assisted Discovery of Bimetallic Oxides for Highly Efficient Catalytic Ozonation.

Environmental science & technology Aug 12, 2025
Catalytic ozonation stands out as an effective process in the advanced treatment of industrial wastewater, where heterogeneous catalysts play a pivotal role. Here, by screening 1603 bimetallic oxides via machine learning (ML), a pioneering ZnCuO was ...
Ozone Oxides Machine Learning Catalysis Wastewater
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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...
Halogenation Machine Learning Trihalomethanes Algorithms Water Pollutants, Chemical Wastewater Water Purification Disinfection
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