Article detail · 2023
A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Turkiye
- Year
- 2023
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
- Catalog match (ISSN) International Journal of Disaster Risk Science
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Abstract Preparation of accurate and up-to-date susceptibility maps at the regional scale is mandatory for disaster mitigation, site selection, and planning in areas prone to multiple natural hazards. In this study, we proposed a novel multi-hazard susceptibility assessment approach that combines expert-based and supervised machine learning methods for landslide, flood, and earthquake hazard assessments for a basin in Elazig Province, Türkiye. To produce the landslide susceptibility map, an ensemble machine learning algorithm, random forest, was chosen because of its known performance in similar studies. The modified analytical hierarchical process method was used to produce the flood susceptibility map by using factor scores that were defined specifically for the area in the study. The seismic hazard was assessed using ground motion parameters based on Arias intensity values. The univariate maps were synthesized with a Mamdani fuzzy inference system using membership functions designated by expert. The results show that the random forest provided an overall accuracy of 92.3% for landslide susceptibility mapping. Of the study area, 41.24% were found prone to multi-hazards (probability value > 50%), but the southern parts of the study area are more susceptible. The proposed model is suitable for multi-hazard susceptibility assessment at a regional scale although expert intervention may be required for optimizing the algorithms.
Topics
Citations
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33 citations
OpenAlex cited_by_count (cache / database)
10 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes 2024
- Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes 2024
- Settlement Site Selection Model for Multihazard Risky Areas with Open Source Web-GIS, Machine Learning, and MCDM 2025
- Impact of geohazards on cadastral data: an assessment after the 6 February 2023 Kahramanmaras earthquakes (Türkiye) 2024
- MULTI-HAZARD SUSCEPTIBILITY ASSESSMENT WITH HYBRID MACHINE LEARNING METHODS FOR TUT REGION (ADIYAMAN, TURKIYE) 2023
- Landslide risk assessment employing susceptibility, run-out distances and vulnerability in a micro basin from Türkiye 2026
- Perspective on secondary disasters: a literature review for future research 2024
- DEPREM SONRASI RİSKLERİ ANLAMAK: OLASI MARMARA DEPREMİNE YÖNELİK BİR ANALİZ 2024
- Perspective on secondary disasters: a literature review for future research 2024
- Perspective on secondary disasters: a literature review for future research 2024