Multifaceted anomaly detection framework for leachate monitoring in landfills

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122130 - 122130

Published: Aug. 24, 2024

Language: Английский

---

Low-level, chronic ingestion of lead and cadmium: The unspoken danger for at-risk populations

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 478, P. 135361 - 135361

Published: July 28, 2024

Language: Английский

---

Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33082 - e33082

Published: June 19, 2024

Monitoring of groundwater resources in coastal areas is vital for human needs, agriculture, ecosystems, securing water supply, biodiversity, and environmental sustainability. Although the utilization quality index (WQI) models has proven effective monitoring resources, it faced substantial criticism due to its inconsistent outcomes, prompting need more reliable assessment methods. Therefore, this study addresses concern by employing data-driven root mean squared (RMS) evaluate Bhola district near Bay Bengal, Bangladesh. To enhance reliability RMS-WQI model, research incorporated extreme gradient boosting (XGBoost) machine learning (ML) algorithm. For GWQ, utilized eleven crucial indicators, including turbidity (TURB), electric conductivity (EC), pH, total dissolved solids (TDS), nitrate (NO3-), ammonium (NH4+), sodium (Na), potassium (K), magnesium (Mg), calcium (Ca), iron (Fe). In terms GW concentration K, Ca Mg exceeded guideline limit collected samples. The computed scores ranged from 54.3 72.1, with an average 65.2, categorizing all sampling sites' GWQ as "fair." model reliability, XGBoost demonstrated exceptional sensitivity (R2 = 0.97) predicting accurately. Furthermore, exhibited minimal uncertainty (<1%) WQI scores. These findings implied efficacy accurately assessing areas, that would ultimately assist regional managers strategic planners sustainable management resources.

Language: Английский

---

Comparison of mathematical models of steam methane reforming process for the needs of fuel cells

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 52, P. 965 - 982

Published: Sept. 9, 2023

The article presents a comparison of mathematical models steam methane reforming. analysis is divided into two parts. first concerns the reforming process using separate reformers. second part compares processes directly inside fuel cells. Due to fact that takes place at very high temperatures, internal can only be carried out in temperature Therefore, deals with molten carbonate cells and solid oxide powered by methane. In case both cells, may take on anodes these electrochemical devices. (for external reforming) were compared based available experimental data. this models, particular attention was paid causes discrepancies between influenced number different parameters such as: temperature, ratio amount water vapor carbon contained (steam ratio), reaction time, presence catalyst, type catalyst many others. presented also terms taking account various affect An attempt made assess accuracy models. Unfortunately, for most equations considered article, numerical values inaccuracies are not given or described as acceptable minor.

Language: Английский

---

New insight into and characterization of DOC, DON and CDOM for urban waters in the lower reaches of the Yellow River, China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 914, P. 169828 - 169828

Published: Jan. 7, 2024

Language: Английский

---

Seasonal Variation of Fe, Mn, and Pb in Groundwater of Northwestern Bangladesh

Journal of Chemistry and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 77 - 97

Published: March 14, 2024

Groundwater is one of the most significant natural resources on earth and also stands as largest source all-purpose water in Bangladesh. The higher concentrations iron (Fe), manganese (Mn), lead (Pb) constitute a threat to human health environment. research aimed assess seasonal variations heavy metal concentrations, including Fe, Mn, Pb, type controlling geochemistry groundwater. A total sixty groundwater samples were collected over year three seasons analyzed for several physicochemical parameters using standard analysis methods highest Pb investigated found be 3.69, 2.50, 0.17 mg/L, respectively. study observed that Fe Mn pre-monsoon but was post-monsoon. contaminations follows order > seasons, their abundance follow seasons: PRM POM MON. showed dominance Ca++, Mg++, HCO3-, indicating temporary hardness Ca-Mg-HCO3, hydrochemical facies, area. These findings would provide an in-depth understanding quality, potential risks health, coping mechanisms sustainable drinking management.

Language: Английский

---

Bowl effect of irreversible primary salinization driven by geology in Hetao irrigation area, China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 920, P. 170834 - 170834

Published: Feb. 10, 2024

Language: Английский

---

Sources, fate and influencing factors of nitrate in farmland drainage ditches of the irrigation area

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 122113 - 122113

Published: Aug. 7, 2024

Language: Английский

---

Performance of Vertical Sub-surface Flow Constructed Wetlands Planted with Thallia dealbata for Mercury Removal

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115651 - 115651

Published: Feb. 1, 2025

Language: Английский

---

Statistical and Probabilistic Modeling of Groundwater Contamination: A Data-Driven Uncertainty and Risk Assessment in Barind Tract, Rajshahi, Bangladesh

Journal of Trace Elements and Minerals, Journal Year: 2025, Volume and Issue: unknown, P. 100223 - 100223

Published: March 1, 2025

Language: Английский

---