Fates of persistent and mobile organic micropollutants in simulated bank filtration: Column study and predictive modelling

Organic micropollutants (OMP), characterized by their persistence and mobility, are increasingly detected in aquatic environments, raising significant concerns about their impact on the safety of drinking water. This study investigated the long-term fate of selected emerging, potentially persistent and mobile OMP through column experiments conducted under varying redox conditions. Additionally, two predictive models were developed using artificial neural networks (ANN), leveraging the experimental dataset to estimate OMP concentrations at depths of 0.5 m and 1.0 m in the columns. The study revealed that the columns remained oxic within the first 0.5 m depth and anoxic below this depth, as dissolved oxygen concentrations dropped below 0.5 mg/L. Biological activity was high within the first 0.5 m depth, as high dissolved oxygen utilization, reductions in dissolved organic matter concentrations, and decreased UV absorbance at 254 nm were observed. Among the OMP studied, six exhibited persistence under both oxic and anoxic conditions, even within a hydraulic retention time (HRT) of 45 days. Other OMP showed biotransformation, with seven being 100% eliminated within an HRT of 5.5 days under oxic conditions. Some OMP displayed improved degradation with prolonged operational time in oxic conditions, while others, such as diatrizoate, were eliminated around 70% under anoxic but were persistent under oxic conditions. The ANN models demonstrated reliable predictions of OMP concentrations, achieving high correlation coefficients (above 0.91) during the training and testing/validation phases. Furthermore, the robustness of the models was highlighted by their low root mean squared error values. Overall, the study showed the critical role of HRT and redox conditions for the elimination of OMP. • Fate of organic micropollutants (OMP) in saturated sand columns. • Attenuation and persistence examined under oxic and anoxic conditions. • Six OMP persisted under both redox conditions and within 45 days residence time. • Diatrizoate was eliminated in anoxic conditions but persisted in oxic conditions. • High accuracy (R² > 0.91) in OMP concentration prediction using modelling.

Authors

Institutions

Publication Details

Journal
Environmental Technology & Innovation
Published
2026-01-26
DOI
https://doi.org/10.1016/j.eti.2026.104784
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fates of persistent and mobile organic micropollutants in simulated bank filtration: Column study and predictive modelling

Ayyaz Mustafa, Aki Sebastian Ruhl, Muhammad Zeeshan, Arfa Iqbal
Environmental Technology & Innovation
Pharmaceutical and Antibiotic Environmental Impacts
article

Fates of persistent and mobile organic micropollutants in simulated bank filtration: Column study and predictive modelling

Ayyaz Mustafa, Aki Sebastian Ruhl, Muhammad Zeeshan, Arfa Iqbal
article en

Abstract

Organic micropollutants (OMP), characterized by their persistence and mobility, are increasingly detected in aquatic environments, raising significant concerns about their impact on the safety of drinking water. This study investigated the long-term fate of selected emerging, potentially persistent and mobile OMP through column experiments conducted under varying redox conditions. Additionally, two predictive models were developed using artificial neural networks (ANN), leveraging the experimental dataset to estimate OMP concentrations at depths of 0.5 m and 1.0 m in the columns. The study revealed that the columns remained oxic within the first 0.5 m depth and anoxic below this depth, as dissolved oxygen concentrations dropped below 0.5 mg/L. Biological activity was high within the first 0.5 m depth, as high dissolved oxygen utilization, reductions in dissolved organic matter concentrations, and decreased UV absorbance at 254 nm were observed. Among the OMP studied, six exhibited persistence under both oxic and anoxic conditions, even within a hydraulic retention time (HRT) of 45 days. Other OMP showed biotransformation, with seven being 100% eliminated within an HRT of 5.5 days under oxic conditions. Some OMP displayed improved degradation with prolonged operational time in oxic conditions, while others, such as diatrizoate, were eliminated around 70% under anoxic but were persistent under oxic conditions. The ANN models demonstrated reliable predictions of OMP concentrations, achieving high correlation coefficients (above 0.91) during the training and testing/validation phases. Furthermore, the robustness of the models was highlighted by their low root mean squared error values. Overall, the study showed the critical role of HRT and redox conditions for the elimination of OMP. • Fate of organic micropollutants (OMP) in saturated sand columns. • Attenuation and persistence examined under oxic and anoxic conditions. • Six OMP persisted under both redox conditions and within 45 days residence time. • Diatrizoate was eliminated in anoxic conditions but persisted in oxic conditions. • High accuracy (R² > 0.91) in OMP concentration prediction using modelling.

Environmental Technology & InnovationVol. 41
University of Engineering and Technology Lahore (PK), University of Pittsburgh (US), German Environment Agency (DE), Technische Universität Berlin (DE)
Clean water and sanitation
Openalex Percentile: Top 78%
Pharmaceutical and Antibiotic Environmental Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.