AIMC Topic: Wastewater

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A data-driven approach for revealing the linkages between differences in electrochemical properties of biochar during anaerobic digestion using automated machine learning.

The Science of the total environment Apr 7, 2024
Biochar is commonly used to enhance the anaerobic digestion of organic waste solids and wastewater, due to its electrochemical properties, which intensify the electron transfer of microorganisms attached to its large surface area. However, it is diff...
Machine Learning Anaerobiosis Charcoal Bioreactors Wastewater Waste Disposal, Fluid
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Machine learning modeling of fluorescence spectral data for prediction of trace organic contaminant removal during UV/HO treatment of wastewater.

Water research Mar 18, 2024
Dynamic feedback of the removal performance of trace organic contaminants (TrOCs) is essential towards economical advanced oxidation processes (AOPs), whereas the corresponding quick-response feedback methods have long been desired. Herein, machine l...
Ultraviolet Rays Water Pollutants, Chemical Spectrometry, Fluorescence Machine Learning Wastewater Hydrogen Peroxide Organic Chemicals Waste Disposal, Fluid
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Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges.

Chemosphere Feb 19, 2024
Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a threshold limit, cause toxic effects both on the environment and in humans upon entering their systems. Recent times have seen an increase in such HM influx incident ...
Humans Artificial Intelligence Machine Learning Wastewater Water Algorithms Metals, Heavy
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Artificial intelligence-enabled optimization of Fe/Zn@biochar photocatalyst for 2,6-dichlorophenol removal from petrochemical wastewater: A techno-economic perspective.

Chemosphere Feb 19, 2024
While numerous studies have addressed the photocatalytic degradation of 2,6-dichlorophenol (2,6-DCP) in wastewater, an existing research gap pertains to operational factors' optimization by non-linear prediction models to ensure a cost-effective and ...
Zinc Phenols Artificial Intelligence Wastewater Charcoal Chlorophenols
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Study of helminth eggs ( inactivation by anaerobic digestion and electrochemical treatment.

Gates open research Feb 12, 2024
BACKGROUND: The use of insufficiently treated wastewater or Faecal sludge in agriculture raises concerns because of the pathogen content. Helminth eggs (HE) are one of the most crucial pathogens for ensuring public health and safety. Widely used disi...
Anaerobiosis Disinfection Electrochemical Techniques Ascaris suum Ovum Wastewater Animals
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A comprehensive review on artificial intelligence in water treatment for optimization. Clean water now and the future.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Jan 31, 2024
Given the severe effects that toxic compounds present in wastewater streams have on humans, it is imperative that water and wastewater streams pollution be addressed globally. This review comprehensively examines various water and wastewater treatmen...
Algorithms Machine Learning Wastewater Humans Artificial Intelligence Water Purification
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Intelligent algorithms-aided modeling and optimization of the deturbidization of abattoir wastewater by electrocoagulation using aluminium electrodes.

Journal of environmental management Jan 29, 2024
The removal of turbidity from abattoir wastewater (AWW) by electrocoagulation (EC) was modeled and optimized using Artificial Intelligence (AI) algorithms. Artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), particle swa...
Fuzzy Logic Electrodes Abattoirs Electrocoagulation Algorithms Aluminum Artificial Intelligence Wastewater
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Comparison of hybrid RNA-based models to predict the degradation and mineralization of the microcontaminant hormone 17β-estradiol.

Chemosphere Dec 4, 2023
New alternatives for effluent decontamination, such as electrochemical oxidation, are being developed to provide adequate removal of endocrine disruptors such as 17β-estradiol in wastewater. In this study, data-driven models of response surface metho...
Neural Networks, Computer Wastewater Fuzzy Logic Oxidation-Reduction Estradiol
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Optimization of catalytic wet air oxidation process in microchannel reactor for TBBS wastewater treatment.

Environmental technology Nov 24, 2023
Catalytic wet air oxidation (CWAO) process is employed for the treatment of N-tert-butyl-2-benzothiazolesulfenamide (TBBS) wastewater in a microchannel reactor that enables continuous operation of the reaction and allows for thorough mixing of oxygen...
Wastewater Water Purification Waste Disposal, Fluid Water Pollutants, Chemical Temperature Benzothiazoles Air Neural Networks, Computer Oxidation-Reduction Catalysis
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The role of corporate social responsibility and government incentives in installing industrial wastewater treatment plants: SEM-ANN deep learning approach.

Scientific reports Oct 2, 2023
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To stud...
Water Purification Cross-Sectional Studies Deep Learning Wastewater Social Responsibility Government Motivation
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