AIMC Topic: Water Pollutants, Chemical

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Multi-dimensional Attention-Based MOSSM Model for Marine Oil Spill Monitoring in SAR image Remote Sensing.

Environmental monitoring and assessment
Marine oil spills pose severe threats to marine ecosystems, where rapid and accurate oil spill region segmentation is crucial for emergency response to disasters. Synthetic Aperture Radar (SAR), with its all-weather and day-night observation capabili...

Post ferric-substitution detection method optimization for Ni(II)-organic complexes measurement: Simulation, experimentation, and modeling.

Environmental monitoring and assessment
Nickel (Ni(II)) complexes, especially those formed with strong ligands such as ethylenediaminetetraacetic acid (EDTA), are difficult to quantify due to their low environmental concentrations and weak ultraviolet (UV) absorbance. These characteristics...

Deep learning simulation and decision support system for groundwater salinity risk assessment in the lower Chao Phraya River Basin, Thailand.

Environmental monitoring and assessment
Groundwater salinization poses a critical threat to freshwater security in coastal regions, particularly under intensified extraction and evolving hydroclimatic conditions. This study examines the spatial and temporal evolution of salinity in the low...

Development of prediction models on the degradation kinetics parameters of antibiotics in aquatic environments with machine learning methods.

Environmental science. Processes & impacts
Antibiotics, as emerging contaminants, are increasingly detected in aquatic environments, raising significant concerns about their ecological risks. However, the lack of hydrolysis rate constants () and aqueous hydroxyl radical degradation rate const...

Machine learning-assisted multi-channel nanozyme sensor arrays for multiple pesticide tracking, tracing and metabolism analysis.

Biosensors & bioelectronics
To achieve precise pesticide residue detection and metabolic analysis, we innovatively proposed a machine learning-assisted multi-channel nanozyme sensor array. Five Cu-carboxylate nanozymes with outstanding laccase-like and peroxidase-like activitie...

Surface water quality evaluation impacting drinking water sources and sanitation using water quality index, multivariate techniques, and interpretable machine learning models in Mahanadi River, Odisha (India).

Environmental geochemistry and health
Water quality and quantity affect crop productivity, with surface water quality having a significant impact. The amount of surface water being used for drinking is gradually rising. Thus, assessing surface water quality and related hydro-chemical cha...

Prioritizing geochemical drivers of groundwater quality and health risks in coastal aquifers of Bangladesh using machine learning algorithms.

Environmental geochemistry and health
This study aims to evaluate key parameters of groundwater quality and associated health risks in three coastal aquifers of Cox's Bazar, Bangladesh, with a focus on manganese contamination and geochemical processes. A total of 288 groundwater samples ...

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 ...

Bridging Dissolved Organic Matter Reactivity to Ozonation Catalysts for Cu@AlO from the Molecular Level by Machine Learning.

Environmental science & technology
Catalytic ozonation is a widely used advanced oxidation process for treating refractory organic wastewater; yet, the variability in dissolved organic matter (DOM) composition complicates reaction mechanisms. A critical challenge lies in designing opt...

Mathematical models for predicting the toxicity of micropollutant mixtures in water.

Arhiv za higijenu rada i toksikologiju
Water pollution caused by micropollutants has been a global issue for decades, prompting the scientific community and industry professionals to develop new and effective wastewater treatment methods. Understanding the interactions of these compounds ...