Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning

Bioresource Technology, Год журнала: 2023, Номер 393, С. 130008 - 130008

Опубликована: Ноя. 18, 2023

Язык: Английский

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Machine learning-driven optimization and application of bimetallic catalysts in peroxymonosulfate activation for degradation of fluoroquinolone antibiotics

Chemical Engineering Journal, Год журнала: 2024, Номер 486, С. 150297 - 150297

Опубликована: Март 11, 2024

Язык: Английский

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Meta-analysis review for pilot and large-scale constructed wetlands: Design parameters, treatment performance, and influencing factors

The Science of The Total Environment, Год журнала: 2024, Номер 927, С. 172140 - 172140

Опубликована: Апрель 1, 2024

Язык: Английский

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Optimizing compressive strength of quaternary-blended cement concrete through ensemble-instance-based machine learning

Materials Today Communications, Год журнала: 2024, Номер 39, С. 109150 - 109150

Опубликована: Май 8, 2024

Язык: Английский

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Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass

The Science of The Total Environment, Год журнала: 2024, Номер 945, С. 173939 - 173939

Опубликована: Июнь 20, 2024

Язык: Английский

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Impact analysis of hydraulic loading rate and antibiotics on hybrid constructed wetland systems: Insight into the response to decontamination performance and environmental-associated microbiota

Chemosphere, Год журнала: 2023, Номер 347, С. 140678 - 140678

Опубликована: Ноя. 9, 2023

Язык: Английский

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Evaluation of pollutant removal efficiency of urban stormwater wet ponds and the application of machine learning algorithms

The Science of The Total Environment, Год журнала: 2023, Номер 905, С. 167119 - 167119

Опубликована: Сен. 17, 2023

Язык: Английский

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Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning

Bioresource Technology, Год журнала: 2024, Номер 415, С. 131640 - 131640

Опубликована: Окт. 16, 2024

Язык: Английский

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Automated machine learning-assisted analysis of biomass catalytic pyrolysis for selective production of benzene, toluene, and xylene

Energy, Год журнала: 2025, Номер unknown, С. 135389 - 135389

Опубликована: Март 1, 2025

Язык: Английский

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Tracing antibiotics in sewers: concentrations, measurement techniques, and mathematical approaches

Water Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

ABSTRACT Antibiotic contamination in sewer networks has significant environmental and health concerns worldwide, mainly due to the risk of contributing an increase bacterial resistance. In this literature review, antibiotic concentrations reported urban sewers hospital effluents, techniques for antimicrobial compound detection quantification, current modeling strategies are analyzed discussed based on 91 papers published between 2014 2024. Eighty studies 109 compounds showing that sulfonamides, fluoroquinolones, macrolides most frequently detected classes, while amphenicols aminocyclitols least monitored. Advanced analytical such as liquid chromatography mass spectrometry common approaches used quantification. Few mathematical models have been developed, including kinetic models, widely wastewater-based epidemiology (WBE) quotient (RQ) approaches. A total 992 reports were compiled proposed a dataset, which is expected be useful further research, especially global monitoring, development predictive policy regulatory these pharmaceutical systems.

Язык: Английский

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