Assesment of landslide susceptibility through analytical hierarchy process including surface wave data for Trabzon Degirmendere Valley (NE Türkiye)
ENVIRONMENTAL EARTH SCIENCES, sa.85, ss.1-21, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s12665-026-12889-2
- Dergi Adı: ENVIRONMENTAL EARTH SCIENCES
- Derginin Tarandığı İndeksler: Scopus, Science Citation Index Expanded (SCI-EXPANDED), IBZ Online, BIOSIS, Compendex, Environment Index, Geobase, INSPEC
- Sayfa Sayıları: ss.1-21
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
Trabzon, located in the Eastern Black Sea region of Türkiye, ranks among the provinces with the highest frequency oflandslides, with a total of 1,673 recorded events between 1950 and 2019. In-situ measurements play a crucial role insupporting efforts aimed at mitigating the impacts of this common geohazard. In this study, geophysical parameters, spe-cifically the average shear wave velocity in the upper 30 m (VS30) and Ground Shear Strain (GSS), derived from surfacewave data obtained through previous geophysical surveys, were integrated into a landslide susceptibility analysis usingthe Analytic Hierarchy Process (AHP). An updated landslide susceptibility map was produced as a result. To evaluatethe impact of incorporating geophysical parameters, two separate susceptibility maps were generated: one based on 11input parameters (including geophysical data) and another using only 8 conventional parameters (excluding geophysicaldata). The two AHP-based models’ performance was assessed using Success Rate Curves and ROC–AUC analysis, whichindicate that the 11-parameter model identifies a larger proportion of observed landslides within smaller portions of thestudy area and yields a higher AUC value (0.623) compared to the 8-parameter model (0.551), suggesting improved spatialdiscrimination. Furthermore, the analysis revealed that approximately 50% of the study area falls within zones classifiedas susceptible to landslides based on the 11-parameter model, emphasizing the critical need for targeted and proactivelandslide risk management strategies in the region.