Bulletin of Engineering Geology and the Environment, Journal Year: 2024, Volume and Issue: 83(9)
Published: Aug. 29, 2024
Language: Английский
Bulletin of Engineering Geology and the Environment, Journal Year: 2024, Volume and Issue: 83(9)
Published: Aug. 29, 2024
Language: Английский
Applied Surface Science, Journal Year: 2025, Volume and Issue: unknown, P. 162536 - 162536
Published: Jan. 1, 2025
Language: Английский
Citations
1Water, Journal Year: 2024, Volume and Issue: 16(5), P. 638 - 638
Published: Feb. 21, 2024
Numerical modeling is widely acknowledged as a highly precise method for understanding the dynamics of contaminant transport in groundwater. However, due to intricate characteristics environmental systems and lack accurate information, results are susceptible significant degree uncertainty. models must explicitly consider related uncertainties parameters facilitate robust decision-making. In Chromium Residue Site located southern China (the study area), this employed Monte Carlo simulation assess impact variability key uncertainty on outcomes. Variogram analysis response surface (VARS), global sensitivity analysis, an XGBoost (version 2.0.0)-based surrogate model was overcome substantial computational cost simulation. The numerical indicate that spreading downstream towards northern boundary contaminated site near Lianshui River, threatening water quality. Furthermore, migration patterns complex both convection upstream diffusion. Sensitivity identified hydraulic conductivity, recharge rate, porosity most influential parameters, selected parameters. Moreover, indicated has minimal outcomes at monitoring wells source. contrast, positioned considerable distance from source, significantly influences markedly mitigated workload calculation time, while demonstrating superior precision effectively capture non-linear correlations between input output model.
Language: Английский
Citations
6Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136447 - 136447
Published: Nov. 7, 2024
Language: Английский
Citations
5Applied Clay Science, Journal Year: 2023, Volume and Issue: 244, P. 107111 - 107111
Published: Aug. 23, 2023
Language: Английский
Citations
11Water, Journal Year: 2025, Volume and Issue: 17(1), P. 121 - 121
Published: Jan. 4, 2025
Addressing groundwater contamination, this study applies machine learning (ML) algorithms to explore the spatiotemporal dynamics of hexavalent chromium (Cr[VI]) at Hanford 100-Area. The research uses an extensive long-term monitoring dataset focused on wells and aquifers enhance understanding management strategies complex environmental issue predict impact due contamination in wells. challenging nature task is various factors, such as geological soil, pipeline leaks, mobility particles that speed contamination. findings demonstrate a random forest (ML)-based approach contaminant distributions accurately, thus significantly reducing uncertainties assessments refining conceptual site models. This advances quality sets precedent for future AI-driven studies.
Language: Английский
Citations
0Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 113062 - 113062
Published: May 14, 2024
Language: Английский
Citations
3Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(32), P. 45310 - 45325
Published: July 4, 2024
Language: Английский
Citations
3Construction and Building Materials, Journal Year: 2024, Volume and Issue: 439, P. 137318 - 137318
Published: July 6, 2024
Language: Английский
Citations
2Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118876 - 118876
Published: Sept. 5, 2023
Language: Английский
Citations
6Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 46(4)
Published: March 13, 2024
Language: Английский
Citations
1