AIMC Topic: Wastewater

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Knowledge extraction of sonophotocatalytic treatment for acid blue 113 dye removal by artificial neural networks.

Environmental research Nov 11, 2021
Removing decolorizing acid blue 113 (AB113) dye from textile wastewater is challenging due to its high stability and resistance to removal. In this study, we used an artificial neural network (ANN) model to estimate the effect of five different varia...
Azo Compounds Textiles Neural Networks, Computer Wastewater
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Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.

Journal of environmental management Oct 16, 2021
Sewer networks play a pivotal role in our everyday lives by transporting the stormwater and urban sewage away from the urban areas. In this regard, Sewer Overflow (SO) has been considered as a detrimental threat to our environment and health, which r...
Groundwater Sewage Artificial Intelligence Humans Wastewater
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Toxicity evaluation and oxidative stress response of fumaronitrile, a persistent organic pollutant (POP) of industrial waste water on tilapia fish (Oreochromis mossambicus).

Environmental research Sep 8, 2021
The study was designed to determine the impact of acute toxicity of fumaronitrile exposure through tissue damaging, oxidative stress enzymes and histopathological studies in gills, liver and muscle cells of freshwater tilapia fish (Oreochromis mossam...
Lipid Peroxidation Animals Tilapia Oxidative Stress Wastewater Ecosystem Liver Fumarates Industrial Waste Antioxidants Superoxide Dismutase Catalase Persistent Organic Pollutants Gills Water Pollutants, Chemical
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Deep-learning based monitoring of FOG layer dynamics in wastewater pumping stations.

Water research Jul 31, 2021
Accumulation of fat, oil and grease (FOG) in the sumps of wastewater pumping stations is a common failure cause for these facilities. Floating solids are often not transported by the pump suction inlets and the individual solids can accumulate to sti...
Water Netherlands Hydrocarbons Wastewater Deep Learning
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Real-time monitoring of forward osmosis membrane fouling in wastewater reuse process performed with a deep learning model.

Chemosphere Feb 22, 2021
Monitoring fouling behavior for better understanding and control has recently gained increasing attention. However, there is no practical method for observing membrane fouling in real time, especially in the forward osmosis (FO) process. In this arti...
Osmosis Deep Learning Membranes, Artificial Wastewater 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 Deep Learning Bioreactors Wastewater Water Purification Membranes, Artificial Osmosis
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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 Nitrous Oxide Water Purification Deep Learning Wastewater
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ANN based modelling of hydrodynamic cavitation processes: Biomass pre-treatment and wastewater treatment.

Ultrasonics sonochemistry Dec 28, 2020
We have developed artificial neural network (ANN) based models for simulating two application examples of hydrodynamic cavitation (HC) namely, biomass pre-treatment to enhance biogas and degradation of organic pollutants in water. The first case repo...
Neural Networks, Computer Wastewater Waste Disposal, Fluid Biomass Hydrodynamics
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Multivariate data-based optimization of membrane adsorption process for wastewater treatment: Multi-layer perceptron adaptive neural network versus adaptive neural fuzzy inference system.

Chemosphere Dec 11, 2020
Application of machine-learning methods to assess the batch adsorption of malachite green (MG) dye on chitosan/polyvinyl alcohol/zeolite imidazolate frameworks membrane adsorbents (CPZ) was investigated in this study. Our previous research results pr...
Wastewater Reproducibility of Results Neural Networks, Computer Adsorption Fuzzy Logic Machine Learning
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Multi-period evaluation and selection of rural wastewater treatment technologies: a case study.

Environmental science and pollution research international Aug 17, 2020
Rapid population growth and agricultural development are generating a considerable amount of effluents, which poses threats to the quality of rural water resources as well as sanitary conditions. However, with a range of rural wastewater treatment (W...
Water Resources Agriculture Fuzzy Logic Wastewater Technology
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