Author
Abstract
This study uses the Analytical Hierarchy Process (AHP) integrated with Geographic Information Systems (GIS) to assess landslide susceptibility in Türkiye at a drainage basin scale. Türkiye's mountainous terrain makes it highly prone to landslides, especially due to heavy rainfall from climatic changes. Addressing the need for comprehensive assessments, the study integrates multiple parameters such as slope, lithology, internal relief, land cover, and annual rainfall amount using publicly accessible datasets such as digital elevation models (DEM), geological maps, and rainfall records. The first comprehensive landslide susceptibility map for Türkiye was produced, validated through histogram and ROC curve analyses, resulting in 1:500,000 scale maps for each basin. This assessment offers a detailed understanding of landslide occurrences, identifying that moderate slopes (5–15°) and internal relief (200–250 m/km2) significantly influence landslides. A potential threshold for the Topographic Wetness Index (TWI) at 12–13 was also identified. The study highlights the importance of DEM resolution and strategic area subdivision for detailed analysis. The maps and classification methods provide a valuable framework for future research, enhancing understanding of geological hazards and aiding decision-makers in managing landslide risks. Recommendations include prioritizing open data, evaluating TWI, and refining classification methods for improved accuracy.
Suggested Citation
Kıvanç Okalp & Haluk Akgün, 2025.
"Assessing landslide susceptibility of Türkiye at drainage basin scale: a semi-quantitative approach,"
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(17), pages 20099-20127, October.
Handle:
RePEc:spr:nathaz:v:121:y:2025:i:17:d:10.1007_s11069-025-07615-3
DOI: 10.1007/s11069-025-07615-3
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:17:d:10.1007_s11069-025-07615-3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.