Geospatial modeling of landslide susceptibility in Debek, South Wollo, Ethiopia: comparative analysis of frequency ratio and analytical hierarchy process models for geohazards management

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: March 24, 2025

Introduction Landslides are a major geohazard in the northern Ethiopian highlands, causing significant damage to farmland, infrastructure, and settlements, with profound socio-economic consequences. This study aims address pressing need for enhanced natural hazard management by investigating landslide susceptibility Debek region of South Wollo, Ethiopia. Methods The employs advanced geospatial modeling techniques assess susceptibility. Key causative factors—slope gradient, aspect, elevation, proximity streams springs, slope material, distance lineaments, land use/land cover (LULC)—were identified analyzed through field surveys satellite imagery. A total 328 events were documented, data divided into training (75%) validation (25%) sets. Landslide maps generated using Frequency Ratio (FR) Analytical Hierarchy Process (AHP) models. Validation models was conducted density indices (R-index) receiver operating characteristic (ROC) curves. Results analysis revealed that material springs most influential factors contributing FR model demonstrated slightly better performance than AHP model, an ROC success rate 0.828 prediction 0.835, compared 0.826 0.832, respectively, model. validated R-index curves, which showed high degree concordance between predicted observed events. Discussion highlights effectiveness GIS-based geomatics approaches mapping data-scarce region. comparative demonstrates strengths limitations each, offering valuable insights risk mitigation. findings underscore importance integrating management, supporting more informed land-use planning, targeted mitigation strategies, comprehensive disaster prevention initiatives. Conclusion research contributes advancing understanding dynamics highlands provides critical resources policymakers stakeholders involved management. study's enhance capacity effective landslide-prone area identification reduction, reinforcing improving frameworks.

Language: Английский

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Evolution of landslide susceptibility in the Three Gorges Reservoir area over the three decades from 1991 to 2020

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 25, 2025

Language: Английский

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Enhanced landslide susceptibility zonation using GIS-Based ensemble techniques

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 84(1)

Published: Dec. 28, 2024

Language: Английский

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Exploration of slope-type geological hazard susceptibility evaluation based on dynamic correction of SBAS-InSAR technology: A case study of Kang County in Gansu Province

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102945 - 102945

Published: Dec. 1, 2024

Language: Английский

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