AIMC Topic: Water Purification

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Applications of artificial intelligence (AI) in drinking water treatment processes: Possibilities.

Chemosphere Apr 10, 2024
In water treatment processes (WTPs), artificial intelligence (AI) based techniques, particularly machine learning (ML) models have been increasingly applied in decision-making activities, process control and optimization, and cost management. At leas...
Water Purification Water Pollutants, Chemical Artificial Intelligence Machine Learning Drinking Water Filtration Adsorption Disinfection Flocculation
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Investigation of direct contact membrane distillation (DCMD) performance using CFD and machine learning approaches.

Chemosphere Apr 9, 2024
Direct Contact Membrane Distillation (DCMD) is emerging as an effective method for water desalination, known for its efficiency and adaptability. This study delves into the performance of DCMD by integrating two powerful analytical tools: Computation...
Temperature Models, Theoretical Porosity Hydrodynamics Machine Learning Membranes, Artificial Water Purification Distillation Neural Networks, Computer
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Amino-functionalized novel biosorbent for effective removal of fluoride from water: process optimization using artificial neural network and mechanistic insights.

Environmental science and pollution research international Apr 5, 2024
Aqueous fluoride ( ) pollution is a global threat to potable water security. The present research envisions the development of novel adsorbents from indigenous Limonia acidissima L. (fruit pericarp) for effective aqueous defluoridation. The adsorben...
Neural Networks, Computer Water Purification Adsorption Water Kinetics Water Pollutants, Chemical Fluorides
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Insights into the transformation of natural organic matter during UV/peroxydisulfate treatment by FT-ICR MS and machine learning: Non-negligible formation of organosulfates.

Water research Apr 1, 2024
Natural organic matter (NOM) is a major sink of radicals in advanced oxidation processes (AOPs) and understanding the transformation of NOM is important in water treatment. By using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR ...
Cricetulus Oxidation-Reduction Sulfates Ultraviolet Rays Mass Spectrometry CHO Cells Water Purification Animals Machine Learning
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Solar desalination system for fresh water production performance estimation in net-zero energy consumption building: A comparative study on various machine learning models.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 20, 2024
This study employs diverse machine learning models, including classic artificial neural network (ANN), hybrid ANN models, and the imperialist competitive algorithm and emotional artificial neural network (EANN), to predict crucial parameters such as ...
Machine Learning Sunlight Fresh Water Neural Networks, Computer Water Purification Solar Energy
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Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants.

Journal of environmental management Mar 14, 2024
Continuous effluent quality prediction in wastewater treatment processes is crucial to proactively reduce the risks to the environment and human health. However, wastewater treatment is an extremely complex process controlled by several uncertain, in...
Water Purification Neural Networks, Computer Waste Disposal, Fluid Humans Artificial Intelligence Biological Oxygen Demand Analysis
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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 Humans Water Purification Wastewater Artificial Intelligence
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A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant.

Water research Dec 30, 2023
Wastewater treatment plant (WWTP) operation is usually intricate due to large variations in influent characteristics and nonlinear sewage treatment processes. Effective modeling of WWTP effluent water quality can provide valuable decision-making supp...
Water Quality Computer Simulation Neural Networks, Computer Water Purification Deep Learning
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Optimizing coagulant dosage using deep learning models with large-scale data.

Chemosphere Dec 20, 2023
Water treatment plants are facing challenges that necessitate transition to automated processes using advanced technologies. This study introduces a novel approach to optimize coagulant dosage in water treatment processes by employing a deep learning...
Neural Networks, Computer Water Purification Deep Learning
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Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models.

Environmental science and pollution research international Dec 6, 2023
Accurate assessment of greenhouse gas emissions from wastewater treatment plants is crucial for mitigating climate change. NO is a potent greenhouse gas that is emitted from wastewater treatment plants during the biological denitrification process. I...
Nitrous Oxide Algorithms Deep Learning Water Purification Greenhouse Gases
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