AIMC Topic: Waste Disposal, Fluid

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Advances in microbial biotechnology for sustainable wastewater reclamation: recent trends and future prospects.

World journal of microbiology & biotechnology
The growing demand for freshwater, coupled with the increasing volume of industrial and municipal wastewater, has intensified the need for sustainable and eco-friendly reclamation strategies. Recent advancements in microbial biotechnology have emerge...

AI-driven neural time series network forecasting and cost analysis for dye removal prediction in packed bed adsorption using ultrasonic biomass composites for sustainable wastewater management.

Environmental research
The study investigates the application of Artificial Intelligence (AI) driven neural network time series (NNTS) model for the forecasting prediction of dye removal using ultrasonic activated mixed biomass. Surface and functional characterization of u...

Interpretable forecasting of dissolved oxygen leveraging foundation model for proactive aeration in rural wastewater treatment systems.

Water research
Accurate forecasting of dissolved oxygen (DO) is crucial for maintaining biological treatment and minimizing energy consumption in wastewater systems. This challenge is acute in rural stabilization ponds, where DO responds nonlinearly to nutrient flu...

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...

Integrating AI-based neural network modeling with experimental characterization for Cd(II) ion adsorption using Sargassum fusiforme biosorbent.

Environmental research
Cadmium (Cd) contamination in wastewater presents serious environmental and public health challenges, requiring efficient mitigation strategies. This research focuses on assessing the biosorption capability of Sargassum fusiforme (SF) biosorbent for ...

Distribution patterns and source contributions of emerging contaminants in urban wastewater systems: from pumping stations to wastewater treatment plants.

Environmental pollution (Barking, Essex : 1987)
Sewage pumping stations and wastewater treatment plants (WWTPs) serve as critical nodes through which emerging pollutants (ECs) migrate from urban and industrial sources into aquatic environments. However, research on the co-occurrence, source dynami...

Sensitivity-driven control strategy and analysis of operating parameter MLSS in the stacking total nitrogen prediction model.

Environmental monitoring and assessment
The operation of wastewater treatment plants (WWTPs) is frequently characterized by complexity, largely attributable to the properties of the influent and the nonlinear fluctuations that occur throughout the wastewater treatment process. Accurate mod...

Phosphorus removal and recovery in wastewater biological treatment from the perspective of phosphine: Current status, action mechanisms and future potential.

The Science of the total environment
This work presents a comprehensive review of phosphorus removal and resource recovery driven by phosphine (PH) in biological wastewater treatment processes, with a particular focus on PH generation. Through a bibliometric analysis using VOSviewer and...

Application of AI-based techniques for anomaly management in wastewater treatment plants: A review.

Journal of environmental management
Effective anomaly management of wastewater treatment plants (WWTPs) is crucial for environmental conservation and public health security. Traditional monitoring methods often struggle with challenges such as multivariate coupling, nonlinear dynamics,...

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...