AIMC Topic: Wastewater
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Synthesis and characterization of lignin-copper nanohybrids for colorimetric acetaminophen detection: a combined physical chemistry and machine learning study.
Physical chemistry chemical physics : PCCP
Jul 30, 2025
Acetaminophen ranks among the most widely used pharmaceutical and personal care products today. Following consumption, the drug and its metabolites are excreted into sewage systems, wastewater treatment plants, and various aquatic environments, leadi...
Machine Learning-Driven Dynamic Measurement of Environmental Indicators in Multiple Scenes and Multiple Disturbances.
Environmental science & technology
Jul 24, 2025
Digital city water management systems require extensive data sensing for various environmental indicators, yet measurement accuracy often falls short under diverse extreme conditions. This study proposes a chemical oxygen demand (COD) measurement met...
Escaping Historical Lock-in─Redesigning Wastewater Treatment Plants and Their Microbiomes for the 21st Century.
Environmental science & technology
Jul 15, 2025
Wastewater treatment plants (WWTPs) have gradually, over the last hundred years, been designed and extended to deal with a sequence of problems, including a) odor, b) suspended solids, c) organics, d) ammonia, e) nitrate and phosphate, and f) recalci...
Insight mechanism of ANN model for denitrification in spouted bed bioreactor.
Scientific reports
Jul 14, 2025
Numerous technologies have been developed to remove nitrate from wastewater due to its significant health and environmental impacts. In the present study, an isolate of Pseudomonas syringae was utilized to investigate the denitrification rate using i...
AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.
Scientific reports
Jul 14, 2025
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...
Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning.
Nature communications
Jul 8, 2025
Genome sequencing from wastewater enables accurate and cost-effective identification of SARS-CoV-2 variants. However, existing computational pipelines have limitations in detecting emerging variants not yet characterized in humans. Here, we present a...
Machine learning-based identification of wastewater treatment plant-specific microbial indicators using 16S rRNA gene sequencing.
Scientific reports
Jul 3, 2025
Effluent released from municipal wastewater treatment plants reflects the microbial communities responsible for degrading and removing contaminants within the plants. Monitoring this effluent offers essential insights into its environmental impacts, ...
Enhancing energy consumption prediction and interpretability in wastewater treatment plants: A novel temporal difference-weighted resampling framework with cross validation for imbalanced regression.
Journal of environmental management
Jun 27, 2025
Accurate prediction of energy consumption is crucial for optimizing wastewater treatment plant (WWTP) operations. However, imbalanced data caused by variable influent conditions often compromises machine learning (ML) model accuracy. This study propo...
Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewater.
Biodegradation
Jun 26, 2025
This study aimed to optimize biogas and methane production from Up-flow anaerobic sludge blanket reactors for treating domestic wastewater using advanced machine learning models-namely, eXtreme Gradient Boosting (XGBoost) and its hybridized form, XGB...
Machine learning approaches for predicting antibiotic resistance genes abundance changes during biological nitrogen removal process.
Journal of environmental management
Jun 20, 2025
Wastewater treatment plants (WWTPs) serve as reservoirs for multiple antimicrobial agents (AAs), thereby promoting the risk of antibiotic resistance genes (ARGs) transmission in sewage and sludge during biological nitrogen removal (BNR) processes. An...
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