Synergetic Fuzzy Analytic Hierarchy Process for a realistic assessment of landslide vulnerability
- 1Carthage, Bizerte, earth sciences, Tunisia (fatenksn@gmail.com)
- 2RU “Geomaterial, structures in civil engineering and environment” (GESTE- UR21ES02), National Engineering School, University of Sfax, Sfax, Tunisia.
- 3CEIGRAM, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
- 4Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Landslide is a common natural geological hazard that causes most damaging effects on natural features worldwide. Around the world, landslides have caused casualties, property damages and other deleterious effects in geological, ecological, environmental and infrastructures. It delineates a significant limitation for the development of urban and industrial planning. Thus, it is fundamentally important to create a landslide susceptibility map that would contribute to a realistic assessment of the threatening natural hazard for a subsequent efficient management and prediction of those potential disasters.
In this context, the present study attempted to apply an integrated multicriteria analysis with focus on Analytic Hierarchy Process (AHP) and Fuzzy-AHP (F-AHP) for the assessment of landslide vulnerability in Jabbeus area (Southwestern, Tunisia), which is potential candidate for future excavation as an open pit phosphate mine. The thematic layers and the landslide-causing factors were collected from various geospatial data sources. The main identified causative factors included lithology (LI), slope (S), distance to faults (F), distance to drainage lines (D) and the topographic wetness index (TWI). In addition Synergetic Fuzzy Analytic Hierarchy Process (SF-AHP) was applied as an innovative methodology to quantify the synergetic effect of LI-S and LI-F using fuzzy functions to enhance the interactions of these factors.
Finally, Landslide Susceptibility Index (LSI) values were computed according to the weighted linear combination (WLC) based on which zonation maps using the three methods were generated. These zones were classified in four categories, from non vulnerable to highly vulnerable, to landsliding events. The formulated SF-AHP showed significant improvement in vulnerability assessment accuracy compared to other conventional approaches.
Keywords: Landslide, assessment, analytical hierarchy process, multi-criteria approach
ACKNOWLEDGEMENTS
The first author acknowledges the financial support by the Minister of Higher Education
and Scientific Research,University of Carthage,Tunisia. Project No PID2021-
122711NB-C21, from Spanish Ministerio de Ciencia e Innovación, partially funded this
work.
How to cite: Ksantini, F., Sdiri, A., Aydi, A., and Tarquis, A. M.: Synergetic Fuzzy Analytic Hierarchy Process for a realistic assessment of landslide vulnerability, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15218, https://doi.org/10.5194/egusphere-egu23-15218, 2023.
