AIMC Topic: Water Purification

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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...

Predicting cyanobacteria removal efficiency in flocculation-DAF: Improving interpretable automated machine learning with CVAE data augmentation.

Water research
Flocculation-dissolved air flotation (DAF) is an efficient and widely adopted technique for cyanobacteria separation. However, optimizing its removal efficiency remains challenging due to complex interdependencies among water quality, cyanobacterial ...

Bacterial cellulose for emerging contaminants: A review of applications for PFAS, nanoplastics, and endocrine disruptors in water treatment.

The Science of the total environment
Emerging contaminants, including per- and polyfluoroalkyl substances (PFAS), nanoplastics, and endocrine-disrupting chemicals (EDCs), pose significant threats to water quality due to their persistence, toxicity, and resistance to conventional treatme...

Removal of a quaternary ammonium compound by electrocoagulation: Mechanistic analysis and multi-response optimization using response surface methodology and machine learning.

Water research
The widespread use of quaternary ammonium compounds (QACs), intensified by the COVID-19 pandemic, has led to their increasing presence in aquatic environments, thereby demanding effective treatment strategies for shock loads from industrial discharge...

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...

From fixed points to optimum regions: AI-NSGA-II framework for high-recovery, low-energy brackish water RO.

Water research
Escalating global freshwater scarcity demands more energy-efficient and sustainable brackish water reverse osmosis (BWRO) desalination. This study demonstrates how integrating high-fidelity Artificial Neural Network (ANN) surrogates with a robust Non...

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...

Data-Driven Recursive Kinetic Modeling for Fenton Reaction.

Environmental science & technology
The Fenton reaction is a widely used advanced oxidation process for water purification, valued for its simplicity and effectiveness in degrading refractory organic pollutants. However, accurately modeling its degradation kinetics remains challenging ...

Molecular signature evolution of dissolved organic matter in wastewater during far-ultraviolet/peracetic acid disinfection: Integrated characterization and machine learning.

Water research
A far-ultraviolet/peracetic acid (UV222/PAA) disinfection process was developed in this study to investigate the transformation mechanisms of dissolved organic matter (DOM) in wastewater, via an integrated approach combining comprehensive molecular c...