AIMC Topic: Sewage

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CABNas-nir: A near-infrared classification for urban pipe network sludge on the fusion algorithm of NAS framework and active learning.

PloS one
Pipe network sludge is a complex pollutant aggregate deposited during long-term operation of urban sewage pipelines, and a key target for pollution control in environmental monitoring systems. Accurate source classification is critical for treatment ...

Algal-bacterial granular sludge process for sustainable wastewater treatment: Technological advances and challenges.

Water research
The algal-bacterial granular sludge (ABGS) process is a promising solution for sustainable wastewater treatment, owing to its synergistic contaminant removal, carbon sequestration potential, and reduced energy demand. This review critically synthesiz...

Building Predictive Understanding of the Activated Sludge Microbiome by Bridging Microbial Growth Kinetics and Microbial Population Dynamics.

Environmental science & technology
Modeling microbiomes can provide predictive insights into microbial ecology, but current modeling approaches suffer from inherent limitations. In this study, a novel modeling approach was developed based on the intrinsic connection between the growth...

An artificial intelligence modeling framework based on microbial community structure prediction enhances the pollutant removal efficiency of the algae-bacteria granular sludge system.

Journal of environmental management
Algae-bacteria granular sludge (ABGS) technology is a new energy-saving and low-carbon water treatment technology based on the algae-bacteria symbiotic system. However, due to its complex internal microbial system, the regulation mechanism of ABGS is...

High pollution and health risk of antibiotic resistance genes in rural domestic sewage in southeastern China: A study combining national-scale distribution and machine learning.

Environmental pollution (Barking, Essex : 1987)
Rural domestic sewage has emerged as an important reservoir of antibiotic resistance genes (ARGs) under rapid urbanization, while the national-scale geographical patterns and risks of ARGs remaining unclear. We investigated ARG pollution in rural dom...

Responses of Microbial Community to Heterogeneous Dissolved Organic Nitrogen Constituents in the Hyporheic Zones of Treated Sewage-Dominated Rivers.

Microbial ecology
The hyporheic zone (HZ) of treated sewage-dominated rivers serves as a critical biogeochemical hotspot for dissolved organic nitrogen (DON) transformation, yet the mechanisms linking DON chemodiversity to microbial community dynamics remain poorly re...

Multi-functionalities of citric acid assisted thermal hydrolysis for sludge pretreatment: A novel method assisting in sludge treatment targeting multiple-objectives.

Journal of hazardous materials
Pretreatment is essential for enhancing sludge treatment efficiency, including anaerobic digestion, phosphorus recovery, sludge dewatering, and heavy metal removal. However, few techniques simultaneously address multiple treatment objectives. In this...

Machine learning-based optimization of biogas and methane yields in UASB reactors for treating domestic wastewater.

Biodegradation
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
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...

Optimization of nitrogen removal through an intelligent automated operational strategy based on real-time process simulation in an A2O membrane bioreactor.

Journal of environmental management
In this study, an intelligent automated operational strategy (IAOS) was developed and evaluated to enhance nitrogen removal efficiency in an anaerobic-anoxic-oxic (A2O) membrane bioreactor (MBR). To effectively respond to fluctuations in inflow load,...