Landslide susceptibity mapping using Analytical Hierarchy Process and Fuzzy- Analytical Hierarchy Process approches: A case study in Binh Dinh province, Viet Nam
DOI:
https://doi.org/10.5281/zenodo.18476916Từ khóa:
Landslides susceptibility mapping (LSM), Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (Fuzzy-AHP), Multi-criteria decision analysis (MCDA)Tóm tắt
Binh Dinh Province, Vietnam, has recently experienced frequent landslide events, highlighting the urgent need for effective hazard assessment. This study aims to evaluate landslide susceptibility using the Analytical Hierarchy Process (AHP) and Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) models. Ten conditioning factors were considered in both models: elevation, slope, aspect, Topographic Wetness Index (TWI), Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), distance to roads, distance to rivers, and geological characteristics. The resulting susceptibility maps were classified into five categories: very low, low, moderate, high, and very high. Model validation was conducted using the Receiver Operating Characteristic (ROC) curve, with Area Under the Curve (AUC) values exceeding 0.80, Root Mean Square Error (RMSE) values around 0.2, and accuracy scores above 0.8 for both models—indicating excellent predictive performance. Notably, the Fuzzy-AHP model slightly outperformed the AHP model. The analysis revealed that approximately 15% of the area falls within high and very high susceptibility zones, 30% within the moderate zone, and the remaining areas within low or very low susceptibility zones. These findings confirm the effectiveness and reliability of both the AHP and Fuzzy-AHP approaches for landslide susceptibility assessment. The resulting maps provide valuable guidance for local authorities and stakeholders in implementing disaster risk reduction strategies, early warning systems, and sustainable land-use planning.
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