Remediation effectiveness of aging diesel-contaminated soil using thermochemical treatment: Soil microstructure transformation and reusability

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 452, P. 142232 - 142232

Published: April 15, 2024

Language: Английский

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Multifactorial evaluation of an ultra-fast process for electrospinning of recycled expanded polystyrene to manufacture high-efficiency membranes for nanoparticle air filtration

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 362, P. 121352 - 121352

Published: June 1, 2024

Language: Английский

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Entry pathways determined the effects of MPs on sludge anaerobic digestion system: The views of methane production and antibiotic resistance genes fates

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 119061 - 119061

Published: May 3, 2024

Language: Английский

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Can wood waste be a feedstock for anaerobic digestion? A machine learning assisted meta-analysis

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 487, P. 150496 - 150496

Published: March 17, 2024

Anaerobic digestion is widely employed to process various organic wastes while generating renewable energy and nutrient-rich digestate. However, lignocellulosic wastes, especially wood waste, suffer from the recalcitrance associated with high lignin content, thereby adversely impacting on biogas production. It remains unclear whether waste suitable as a feedstock for anaerobic what extent pretreatment techniques could affect its biochemical methane potential. In this paper, 769 datasets production were collected meta-analysis. The results showed an average 146 % increase in other compared when not applied, but gap be mitigated 99 considered, indicating that more effective waste. A further analysis of different significantly increased by 113 combination was than single method. Finally, three machine learning algorithms applied explore relationship between selected variables. random forest method yielded better predictive performance (R2 = 0.9643) artificial neural networks support vector regression. Feature importance found particle size had higher influence temperature or composition. Overall, study gives insight into potential utilizing employing methods. This work also reveals correlations critical variables, which serve guide optimizing operational adjustments during digestion.

Language: Английский

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Study on biodegradation of polyethylene terephthalate plastics in a single-stage semi-anaerobic reactor

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Language: Английский

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Machine learning-based analysis of microplastic-induced changes in anaerobic digestion parameters influencing methane yield

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124627 - 124627

Published: Feb. 23, 2025

Language: Английский

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Hydrothermally devised visible light-activated NiFe2O4/Bi4O5I2 composite for aquaculture wastewater decontamination and plastic waste photoreforming applications

Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 114188 - 114188

Published: Feb. 1, 2025

Language: Английский

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Predicting the Environmental Fate of Biodegradable Mulch Films: A Machine Learning Approach for Sustainable Agriculture

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 492, P. 138277 - 138277

Published: April 14, 2025

Language: Английский

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Green synthesis of Bio-CuS quantum dots by sulfate reducing bacteria for solid-phase photocatalytic degradation of polyethylene film

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 354, P. 129374 - 129374

Published: Aug. 25, 2024

Language: Английский

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Polyvinyl chloride applications along with methods for managing its end-of-life items: A review

Progress in Rubber Plastics and Recycling Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Owing to its unique blend of properties, polyvinyl chloride (PVC) has become one the most important polymers that have been used in everyday life for many years. Its short- and long-term applications span multiple key industries such as building, electrical/electronic insulation, packaging, healthcare. These produce high volumes PVC solid items require responsible management when they reach their end-of-life because are not biodegradable. Simple affordable methods diverting this waste from landfills would contribute positively towards combating environmental problems. However, approaches reported literature there is a need collate easier comparison. For example, some alternative highly effective transforming into range valuable products but still associated with secondary pollution. This overview covers different facets virgin (rigid, semi-rigid, flexible), focusing mainly on importance, global increase use, waste’s recyclability. In addition pros cons recycling strategies, influence specific factors expanding market also considered albeit briefly. Notably, [Formula: see text]50 % world’s annual production utilization capacity accounted by meant building applications; these drive growth market.

Language: Английский

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