AIMC Topic: Water Pollutants, Chemical

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Prediction of Tl(I) adsorption onto metal oxides and identification of critical factors using a machine learning-based model.

Environmental research
Thallium is a highly toxic element, which is widely found all over the world. Adsorption is one of the most common techniques for thallium removal. Traditional adsorption studies face several limitations, such as a limited ability to predict adsorpti...

Persistence after prohibition: Revealing the drivers of traditional and novel organochlorine pesticide residues in river sediments.

Environmental research
Legacy organochlorine pesticides (OCPs) persist as global environmental threats despite international bans, while novel OCPs have been widely adopted as alternatives; however, the spatiotemporal dynamics and regulatory drivers of both legacy and nove...

Sequential interfacial contributions of microplastics to microbial adhesion and metal adsorption.

The Science of the total environment
Microplastics (MPs) are increasingly recognized as interfacial substrates for microbial adhesion and metal adsorption in aquatic environments. However, the temporal sequence and causality of MPs-microbial-metal interactions remain poorly understood. ...

Differentiating estuarine dissolved organic matter composition by unsupervised and supervised machine learning.

Water research
Differentiating the composition of Dissolved Organic Matter (DOM) in estuaries is a major environmental concern, as the DOM characteristics are closely linked to biogeochemical and ecological considerations (e.g. water properties and trophic cycling)...

Exploring hydrochemical drivers of drinking water quality in a tropical river basin using self-organizing maps and explainable AI.

Water research
Groundwater quality assessment is essential for ensuring sustainable water resource management, particularly in regions heavily dependent on groundwater for domestic and agricultural needs. This study aims to investigate the hydrochemical characteris...

Prediction of bioconcentration factors (BCFs) and bioaccumulation factors (BAFs) for per- and polyfluoroalkyl substances (PFASs) using Read-Across and q-RASPR.

The Science of the total environment
Per- and polyfluoroalkyl substances (PFASs) contamination poses an environmental concern due to their ability to bioaccumulate in aquatic species and adversely impact human health. Experimental bioconcentration factor (log BCF) data of freshwater fis...

Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan.

Ecotoxicology and environmental safety
Groundwater quality monitoring is crucial for protecting the environment and human health. Machine learning (ML) offers substantial potential for enhancing groundwater quality prediction, classification, and identification of pollution indicators. Th...

Microplastics assessment in the lower stretch of the Ganga River sediment from East Indian region: Influence of land use and rainfall patterns.

Chemosphere
Microplastic (MP) pollution is increasingly viewed as a serious threat to waterways. However, little is known about the effects of land use and rainfall patterns on the occurrence and distribution of MPs in the river sediments. Herein, the MP polluti...

Machine learning-guided prediction of chlorinated/chloraminated disinfection by-product formation in drinking water treatment.

Water research
Chlorination and chloramination as common water disinfection methods are challenged by the unintended formations of hazardous disinfection by-products (DBPs). Accurately predicting DBP formation is essential for improving water treatment processes an...

Unveiling sources of organophosphate esters in marine environments utilizing multi-factor multi-modal high-dimensional clustering algorithm.

Water research
In marine environments, the sources of organophosphate esters (OPEs), particularly emerging OPEs (eOPEs) remain primarily unclear and present significant challenges for accurate source tracing. Here, we developed an unsupervised machine learning fram...