Assesment of landslide susceptibility through analytical hierarchy process including surface wave data for Trabzon Degirmendere Valley (NE Türkiye)
ENVIRONMENTAL EARTH SCIENCES, vol.85, no.7, 2026 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 85 Issue: 7
- Publication Date: 2026
- Doi Number: 10.1007/s12665-026-12889-2
- Journal Name: ENVIRONMENTAL EARTH SCIENCES
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, BIOSIS, Compendex, Environment Index, Geobase, INSPEC
- Bursa Uludag University Affiliated: Yes
Abstract
Trabzon, located in the Eastern Black Sea region of T & uuml;rkiye, ranks among the provinces with the highest frequency of landslides, with a total of 1,673 recorded events between 1950 and 2019. In-situ measurements play a crucial role in supporting efforts aimed at mitigating the impacts of this common geohazard. In this study, geophysical parameters, specifically the average shear wave velocity in the upper 30 m (V-S30) and Ground Shear Strain (GSS), derived from surface wave data obtained through previous geophysical surveys, were integrated into a landslide susceptibility analysis using the Analytic Hierarchy Process (AHP). An updated landslide susceptibility map was produced as a result. To evaluate the impact of incorporating geophysical parameters, two separate susceptibility maps were generated: one based on 11 input parameters (including geophysical data) and another using only 8 conventional parameters (excluding geophysical data). The two AHP-based models' performance was assessed using Success Rate Curves and ROC-AUC analysis, which indicate that the 11-parameter model identifies a larger proportion of observed landslides within smaller portions of the study area and yields a higher AUC value (0.623) compared to the 8-parameter model (0.551), suggesting improved spatial discrimination. Furthermore, the analysis revealed that approximately 50% of the study area falls within zones classified as susceptible to landslides based on the 11-parameter model, emphasizing the critical need for targeted and proactive landslide risk management strategies in the region.