Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 11, 2024
Language: Английский
Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 11, 2024
Language: Английский
Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02549 - e02549
Published: Jan. 1, 2025
Language: Английский
Citations
1Heliyon, Journal Year: 2025, Volume and Issue: 11(4), P. e42473 - e42473
Published: Feb. 1, 2025
Sustainable water resource management relies heavily on accurate groundwater potential mapping, especially in countries like Ethiopia, where is a primary drinking source. This study focuses the Maze-Zenti catchments, located Omo Basin of Ethiopia and covering an area 2,340 square kilometers, which are highly dependent resources. They aimed to identify zones using three advanced geospatial statistical methods: Multi-Influence Factor (MIF), Shannon Entropy (SE), Frequency Ratio (FR). These methods were selected for their demonstrated efficiency mapping. A comprehensive database was created, incorporating slope, elevation, drainage density, lithology, soil type, aspect, Topographic Wetness Index (TWI), lineament rainfall, land use. The results classified into four zones: low, moderate, high, very high across all models. ensemble model combining strong predictive capability, with 35.04% as 22.48% potential. Separately, frequency ratio (FR) emphasized (35.17%) (20.17%) zones, while entropy (SE) multi-influencing factor (MIF) models also identified significant portions moderate classes. Validation Receiver Operating Characteristic (ROC) curves established most reliable, achieving Area under Curve (AUC) 0.851, followed by (0.813) (0.784). numerical comparison actual well yields revealed 77.5% accuracy rate, further validating model's reliability. highlights critical role mapping regions limited resources offers flexible framework adaptable various hydrogeological conditions, making it valuable drillers, managers, researchers, other stakeholders management.
Language: Английский
Citations
0Global Challenges, Journal Year: 2025, Volume and Issue: unknown
Published: April 27, 2025
Abstract This study investigates the groundwater potential zones in Ziway Lake watershed of Ethiopia's rift valley using a GIS‐based multi‐criteria decision analysis within Analytical Hierarchy Process (AHP). Environmental factors, including recharge, lithology, elevation, lineament density, and drainage are analyzed. The soil water assessment tool (SWAT) model is applied to estimate recharge for watershed. performance SWAT model, evaluated based on observed streamflow at Katar Meki stations, demonstrates good during calibration validation phases. watershed's classified as Very low (18.01%), Low (17.62%), Moderate (12.05%), High (28.34%), (23.98%). Groundwater integrated with drinking quality index GIS, showing that (39.72%) very high areas have excellent quality. Results show over half has moderate potential, identifying critical sustainable management. findings provide useful guidance key exploration conservation, offering practical approach can be other regions ensure
Language: Английский
Citations
0Heliyon, Journal Year: 2025, Volume and Issue: 11(10), P. e43045 - e43045
Published: April 29, 2025
Language: Английский
Citations
0Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101238 - 101238
Published: June 12, 2024
Language: Английский
Citations
0Journal of the Indian Society of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 11, 2024
Language: Английский
Citations
0