AIMC Topic: Sewage

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Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling.

Bioresource technology Nov 18, 2016
Artificial neural network (ANN) modeling was applied to thermal data obtained by non-isothermal thermogravimetric analysis (TGA) from room temperature to 1000°C at three different heating rates in air to predict the TG curves of sewage sludge (SS) an...
Sewage Coffee Hot Temperature Thermogravimetry Neural Networks, Computer Models, Theoretical Kinetics
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Artificial Intelligence for the Evaluation of Operational Parameters Influencing Nitrification and Nitrifiers in an Activated Sludge Process.

Microbial ecology Feb 23, 2016
Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored over a period of 237 days. A combination of fluorescent in situ hybridization (FISH) and quantitative real-time polymerase chain reaction (qPCR) were use...
Temperature Real-Time Polymerase Chain Reaction Bacteria Artificial Intelligence Sewage Ammonia Waste Management DNA, Bacterial Models, Theoretical In Situ Hybridization, Fluorescence Nitrification Nitrobacter
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Predicting concrete corrosion of sewers using artificial neural network.

Water research Jan 21, 2016
Corrosion is often a major failure mechanism for concrete sewers and under such circumstances the sewer service life is largely determined by the progression of microbially induced concrete corrosion. The modelling of sewer processes has become possi...
Corrosion Reproducibility of Results Time Factors Regression Analysis Sewage Uncertainty Neural Networks, Computer
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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 ...
Anti-Bacterial Agents Water Pollutants, Chemical Metal Nanoparticles Wastewater Water Purification Salicylic Acid Light Pseudomonas putida Titanium Sewage Water Microbiology Flow Cytometry Kinetics
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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...
Biological Oxygen Demand Analysis Travel Sewage Waste Management Water Purification Neural Networks, Computer Bioreactors Biomass Wastewater Nitrogen Waste Disposal, Fluid Phosphorus
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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...
Nitrification Bioreactors Wastewater Sewage Waste Disposal, Fluid Cold Temperature
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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...
Wastewater Waste Disposal, Fluid Sewage Sonication
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Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

Environmental science and pollution research international Dec 20, 2014
The present investigation deals with the prediction of the performance of simultaneous anaerobic sulfide and nitrate removal in an upflow anaerobic sludge bed (UASB) reactor through an artificial neural network (ANN). Influent sulfide concentration, ...
Evaluation Studies as Topic Anaerobiosis Bioreactors Nitrogen Sulfates Sulfides Neural Networks, Computer Algorithms Waste Disposal, Fluid Nitrogen Oxides Nitrates Sewage
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Responses of Microbial Community to Heterogeneous Dissolved Organic Nitrogen Constituents in the Hyporheic Zones of Treated Sewage-Dominated Rivers.

Microbial ecology Jul 2, 2025
The hyporheic zone (HZ) of treated sewage-dominated rivers serves as a critical biogeochemical hotspot for dissolved organic nitrogen (DON) transformation, yet the mechanisms linking DON chemodiversity to microbial community dynamics remain poorly re...
China Sewage Rivers Microbial Consortia Bacteria Nitrogen Microbiota
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An analytic hierarchy process combined with artificial neural network model to evaluate sustainable sludge treatment scenarios.

Waste management (New York, N.Y.) Jun 15, 2025
Sludge management in China faces critical environmental, economic, and technical challenges, necessitating urgent optimal management strategy selection. Given the limited number of comprehensive studies on sludge management, quantitative decision-mak...
Sewage Waste Management Waste Disposal, Fluid Neural Networks, Computer Models, Theoretical China
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