AIMC Topic: Wastewater

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Carbon source dosage intelligent determination using a multi-feature sensitive back propagation neural network model.

Journal of environmental management Feb 15, 2025
The carbon reduction concept drives the development of low-carbon and sustainable wastewater treatment plant (WWTP) operation technologies. In the denitrification stage of WWTPs in China, there are widespread problems of uneconomical dosage consumpti...
China Waste Disposal, Fluid Machine Learning Carbon Wastewater Neural Networks, Computer Nitrogen
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Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network.

Environmental science & technology Feb 12, 2025
Deciphering and mitigating dynamic greenhouse gas (GHG) emissions under environmental fluctuation in urban drainage systems (UDGSs) is challenging due to the absence of a high-prediction model that accurately quantifies the contributions of biologica...
Graph Neural Networks Greenhouse Gases Nitrous Oxide Neural Networks, Computer Wastewater Methane
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Bayesian Optimization-Enhanced Reinforcement learning for Self-adaptive and multi-objective control of wastewater treatment.

Bioresource technology Feb 9, 2025
Controllers of wastewater treatment plants (WWTPs) often struggle to maintain optimal performance due to dynamic influent characteristics and the need to balance multiple operational objectives. In this study, Reinforcement Learning (RL) algorithms a...
Machine Learning Water Purification Waste Disposal, Fluid Bayes Theorem Wastewater Algorithms Sewage
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Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector - a review.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Feb 2, 2025
There are several uses for biomass-derived materials (BDMs) in the irrigation and farming industries. To solve problems with material, process, and supply chain design, BDM systems have started to use machine learning (ML), a new technique approach. ...
Waste Disposal, Fluid Biomass Machine Learning Agriculture Wastewater
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Machine learning-assisted prediction of engineered carbon systems' capacity to treat textile dyeing wastewater via adsorption technology.

Environmental monitoring and assessment Feb 1, 2025
Dyes are widely used in industries like printing, cosmetics, paper, leather processing, textiles, and manufacturing to add color to products. However, improper disposal of dyes into wastewater has raised major concerns due to their harmful effects on...
Waste Disposal, Fluid Water Pollutants, Chemical Machine Learning Wastewater Coloring Agents Textiles Textile Industry Adsorption Carbon
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Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment.

Journal of environmental management Jan 31, 2025
Monitoring the microparticle transfer process in wastewater treatment systems is crucial for improving treatment performance. Supervised deep learning methods show high performance to automatically detect particles, but they rely on vast amounts of l...
Waste Disposal, Fluid Supervised Machine Learning Sewage Wastewater
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Design optimization and predictive modeling for TSS in mega surface WWTPs: A machine learning approach.

Journal of environmental management Jan 29, 2025
Surface wastewater originates from various sources, including domestic, commercial, and industrial activities, and contains a mix of organic and inorganic wastes along with suspended and dissolved solids that require effective treatment. This study p...
Waste Disposal, Fluid Machine Learning Models, Theoretical Wastewater Water Purification
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Predicting biomass conversion and COD removal in wastewater treatment by phototrophic bacteria with interpretable machine learning.

Journal of environmental management Jan 24, 2025
Photosynthetic bacteria (PSB) excel in wastewater treatment by removing pollutants and generating biomass but are challenging to optimize due to complex operational and environmental interactions. Neural Ordinary Differential Equations, Elastic Net, ...
Biological Oxygen Demand Analysis Bacteria Waste Disposal, Fluid Water Purification Biomass Machine Learning Wastewater
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Attention-based deep learning models for predicting anomalous shock of wastewater treatment plants.

Water research Jan 23, 2025
Quickly grasping the time-consuming water quality indicators (WQIs) such as total nitrogen (TN) and total phosphorus (TP) of influent is an essential prerequisite for wastewater treatment plants (WWTPs) to prompt respond to sudden shock loads. Soft d...
Wastewater Water Purification Deep Learning Waste Disposal, Fluid Neural Networks, Computer Water Quality Nitrogen Machine Learning Phosphorus
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Using machine learning models to predict the dose-effect curve of municipal wastewater for zebrafish embryo toxicity.

Journal of hazardous materials Jan 20, 2025
Municipal wastewater substantially contributes to aquatic ecological risks. Assessing the toxicity of municipal wastewater through dose-effect curves is challenging owing to the time-consuming, labor-intensive, and costly nature of biological assays....
Machine Learning Wastewater Water Pollutants, Chemical Animals Dose-Response Relationship, Drug China Zebrafish Embryo, Nonmammalian
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