Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102379 - 102379
Published: April 21, 2025
Language: Английский
Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102379 - 102379
Published: April 21, 2025
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 251, P. 121105 - 121105
Published: Jan. 3, 2024
Language: Английский
Citations
28Toxicology in Vitro, Journal Year: 2024, Volume and Issue: 98, P. 105825 - 105825
Published: April 12, 2024
Language: Английский
Citations
22Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 107040 - 107040
Published: Jan. 21, 2025
Language: Английский
Citations
2Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 291, P. 117609 - 117609
Published: Feb. 1, 2025
Groundwater pollution, particularly in retired pesticide sites, is a significant environmental concern due to the presence of chlorinated aliphatic hydrocarbons (CAHs) and benzene, toluene, ethylbenzene, xylene (BTEX). These contaminants pose serious risks ecosystems human health. Natural attenuation (NA) has emerged as sustainable solution, with microorganisms playing crucial role pollutant biodegradation. However, interpretation diverse microbial communities relation complex pollutants still challenging, there limited research multi-polluted groundwater. Advanced machine learning (ML) algorithms help identify key indicators for different pollution types (CAHs, BTEX plumes, mixed plumes). The accuracy Area Under Curve (AUC) achieved by Support Vector Machines (SVM) were impressive, values 0.87 0.99, respectively. With assistance model explanation methods, we identified bioindicators which then analyzed using co-occurrence network analysis better understand their potential roles degradation. genera indicate that oxidation co-metabolism predominantly drive dechlorination processes within CAHs group. In group, primary mechanism degradation was observed be anaerobic under sulfate-reducing conditions. CAHs&BTEX groups, indicative suggested occurred iron-reducing conditions reductive existed. Overall, this study establishes framework harnessing power ML alongside based on microbiome data enhance understanding provide robust assessment natural process at sites.
Language: Английский
Citations
2Environmental Research, Journal Year: 2023, Volume and Issue: 237, P. 117016 - 117016
Published: Aug. 30, 2023
Language: Английский
Citations
23Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105404 - 105404
Published: May 8, 2024
Language: Английский
Citations
14The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 918, P. 170506 - 170506
Published: Feb. 2, 2024
Language: Английский
Citations
9Journal of Hydrology, Journal Year: 2025, Volume and Issue: 653, P. 132764 - 132764
Published: Jan. 30, 2025
Language: Английский
Citations
1Bioresource Technology, Journal Year: 2022, Volume and Issue: 363, P. 127978 - 127978
Published: Sept. 17, 2022
Language: Английский
Citations
35Bioresource Technology, Journal Year: 2023, Volume and Issue: 374, P. 128656 - 128656
Published: Jan. 20, 2023
Language: Английский
Citations
18