Assesment of landslide susceptibility through analytical hierarchy process including surface wave data for Trabzon Degirmendere Valley (NE Türkiye)


AKIN Ö., ÇOBAN K. H., SÜNNETCİ M. O., ŞENKAYA M., Sayil N.

ENVIRONMENTAL EARTH SCIENCES, vol.85, no.7, 2026 (SCI-Expanded, Scopus) identifier

  • 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.