AIMC Topic: Wastewater

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Recognizing the state of aerobic granular sludge over its life-cycle in a continuous-flow membrane bioreactor with an artificial intelligence approach.

Journal of environmental management Jun 1, 2025
The continuous-flow aerobic granular sludge-membrane bioreactor (AGS-MBR) system represents an efficient and sustainable technology for wastewater treatment. AGS, a spherical or ellipsoidal granular sludge formed through microbial self-aggregation un...
Bioreactors Algorithms Aerobiosis Artificial Intelligence Sewage Waste Disposal, Fluid Wastewater
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Chitosan-based adsorbents for remediation of toxic dyes from wastewater: A review on adsorption mechanism, reusability, machine learning based modeling and future perspectives.

International journal of biological macromolecules Jun 1, 2025
The disposal of recalcitrant dyes in aquatic environments from various industrial sectors is a threat to both the plant and animal kingdom. The presence of dyes in various water bodies undermines the availability of uncontaminated drinking water and ...
Machine Learning Chitosan Kinetics Coloring Agents Water Pollutants, Chemical Wastewater Adsorption Water Purification
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Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning.

Environmental science & technology May 27, 2025
Membrane fouling remains a significant challenge in the operation of membrane bioreactors (MBRs). Plant operators rely heavily on observations of filtration performance from noisy sensor data to assess membrane fouling conditions and lab-based protoc...
Filtration Membranes, Artificial Waste Disposal, Fluid Bioreactors Wastewater Water Purification Machine Learning
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Prediction of total phosphorus removal in hybrid constructed wetlands: a machine learning approach for rice mill wastewater treatment.

Water environment research : a research publication of the Water Environment Federation May 1, 2025
Efficient prediction of pollutant concentrations in constructed wetlands is critical for optimizing treatment performance, yet existing methodologies often fail to account for the influence of meteorological conditions and flow rate variations in rea...
Waste Disposal, Fluid Water Pollutants, Chemical Wastewater Water Purification Industrial Waste Wetlands Oryza Phosphorus Neural Networks, Computer Machine Learning
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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants.

PloS one Jan 1, 2025
Effluent quality prediction is critical for optimizing Wastewater Treatment Plant (WWTP) operations, ensuring regulatory compliance, and promoting environmental sustainability. This study evaluates the performance of five supervised learning models-A...
China Neural Networks, Computer Waste Disposal, Fluid Wastewater Water Purification Water Pollutants, Chemical Environmental Monitoring Supervised Machine Learning Support Vector Machine Water Quality
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Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement.

Water science and technology : a journal of the International Association on Water Pollution Research Jun 1, 2023
To prevent the pollution of water resources, the measurement and the limitation of wastewater discharges are required. Despite the progress in the field of data acquisition systems, sensors are subject to malfunctions that can bias the evaluation of ...
Wastewater Algorithms Artificial Intelligence Water Resources Environmental Pollution
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Modelling the biological treatment process aeration efficiency: application of the artificial neural network algorithm.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2022
The biological treatment process (BTP) is responsible for removing chemical oxygen demand (COD) and ammonia using microorganisms present in wastewater. The BTP consumes large quantities of energy due to the transfer of oxygen using air pumps/blowers....
Neural Networks, Computer Wastewater Biological Oxygen Demand Analysis Algorithms Oxygen
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Energy saving for air supply in a real WWTP: application of a fuzzy logic controller.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
An unconventional cascade control system, for the regulation of air supply in activated sludge wastewater treatment plants (WWTPs), was tested. The dissolved oxygen (DO) set point in the aeration tank was dynamically calculated based on effluent ammo...
Ammonia Waste Disposal, Fluid Fuzzy Logic Sewage Wastewater
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Application of unsupervised learning and process simulation for energy optimization of a WWTP under various weather conditions.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
This paper outlines a hybrid modeling approach to facilitate weather-based operation and energy optimization for the largest Italian wastewater treatment plant (WWTP). Two clustering methods, K-means algorithm and Gaussian mixture model (GMM) based o...
Weather Normal Distribution Unsupervised Machine Learning Bayes Theorem Wastewater
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Predictive models for wastewater flow forecasting based on time series analysis and artificial neural network.

Water science and technology : a journal of the International Association on Water Pollution Research Jul 1, 2019
Wastewater flow forecasting is key for proper management of wastewater treatment plants (WWTPs). However, to predict the amount of incoming wastewater in WWTPs, wastewater engineers face challenges arising from numerous complexities and uncertainties...
Canada Neural Networks, Computer Models, Statistical Water Movements Wastewater Forecasting
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