AIMC Topic: Wastewater

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Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends.

Chemosphere Jun 6, 2023
Wastewater treatment is a complex process that involves many uncertainties, leading to fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) can handle complex nonlinear problems and has become a powerful t...
Neural Networks, Computer Algorithms Environmental Pollutants Artificial Intelligence Wastewater
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Constructing porous ZnFC-PA/PSF composite spheres for highly efficient Cs removal.

Journal of environmental sciences (China) May 20, 2023
Radioisotope leaking from nuclear waste has become an intractable problem due to its gamma radiation and strong water solubility. In this work, a novel porous ZnFC-PA/PSF composite sphere was fabricated by immobilization of ferrocyanides modified zin...
Waste Disposal, Fluid Polymers Water Pollutants, Chemical Cesium Porosity Adsorption Water Purification Zinc Sulfones Wastewater
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Reconstruction and analysis of negatively buoyant jets with interpretable machine learning.

Marine pollution bulletin Apr 1, 2023
In this paper, negatively inclined buoyant jets, which appear during the discharge of wastewater from processes such as desalination, are observed. A detailed numerical investigation is necessary to minimize harmful effects and assess environmental i...
Random Forest Machine Learning Wastewater Neural Networks, Computer
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Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network.

Water research Jan 23, 2023
The spectral fingerprint is a significant concept in nontarget screening of environmental samples to direct identification efforts to relevant and important features. Surface-enhanced Raman scattering (SERS) has long been recognized as an optical met...
Spectrum Analysis, Raman Nanotechnology Industry Neural Networks, Computer Wastewater
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Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems.

Bioresource technology Dec 14, 2022
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The applications of AI and ML based models are also reported for monitoring and design of biological wastewater treatment systems (WWTS). The available inform...
Machine Learning Wastewater Artificial Intelligence Water Purification Waste Disposal, Fluid
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Ultrasound-enhanced catalytic degradation of simulated dye wastewater using waste printed circuit boards: catalytic performance and artificial neuron network-based simulation.

Environmental monitoring and assessment Nov 24, 2022
Recent developments of heterogeneous advanced oxidation for refractory organic contaminants and catalysts made of solid waste have attracted much attention. In this work, waste printed circuit board (wPCB) was used for catalytic degradation of simula...
Environmental Monitoring Neurons Wastewater Hydrogen Peroxide Methylene Blue Artificial Intelligence
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The role of deep learning in urban water management: A critical review.

Water research Aug 11, 2022
Deep learning techniques and algorithms are emerging as a disruptive technology with the potential to transform global economies, environments and societies. They have been applied to planning and management problems of urban water systems in general...
Forecasting Deep Learning Water Wastewater Algorithms
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Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks.

The Science of the total environment Jul 22, 2022
The Black Sea is an important ecosystem, which is affected by various anthropogenic pressures, such as shipping activities and wastewater inputs from large coastal cities. Significant loads of chemical pollutants are being continuously brought in by ...
Black Sea Ecosystem Deep Learning Environmental Monitoring Water Pollutants, Chemical Neural Networks, Computer Wastewater
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Artificial neural network (ANN) and response surface methodology (RSM) algorithm-based improvement, kinetics and isotherm studies of electrocoagulation of oily wastewater.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Jun 22, 2022
The work reported here focuses on the oil and grease removal from wastewater by the electrocoagulation process and using modeling and optimization for obtaining the results considering four major operating parameters, viz. current density, pH, electr...
Neural Networks, Computer Electrocoagulation Kinetics Wastewater Algorithms Oils
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Determination of parabens in wastewater samples via robot-assisted dynamic single-drop microextraction and liquid chromatography-tandem mass spectrometry.

Electrophoresis May 26, 2022
Dynamic single-drop microextraction (SDME) was automatized employing an Arduino-based lab-made Cartesian robot and implemented to determine parabens in wastewater samples in combination with liquid chromatography-tandem mass spectrometry. A dedicated...
Water Pollutants, Chemical Chromatography, Liquid Robotics Liquid Phase Microextraction Wastewater Tandem Mass Spectrometry Reproducibility of Results Parabens
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