Botan Vadisi (Siirt) Kayaboğaz-Sağlarca kesiminde kütle hareketi duyarlılığının CBS-AHS yöntemiyle değerlendirilmesi
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Anahtar Kelimeler
References
- Akgün, A., ve Türk, N. (2011). Mapping the landslide susceptibility for the Yığılca forest district (Western Black Sea Region, Turkey) by frequency ratio, logistic regression, and artificial neural networks. Environmental Earth Sciences, 66, 2063–2083. doi: 10.1007/s12665-011-1395-8
- Arabameri, A., Saha, S., Roy, J., Chen, W., Blaschke, T., Bui, D. T. (2020). Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran. Remote Sensing, 12(3), 475. doi: 10.3390/rs12030475
- Ayalew, L. & Yamagishi, H. (2005). The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains. Engineering Geology, 65(1-2), 15-31.
- Balcı, M. C., & Alpaslan, N. (2016). Siirt-Pervari-Çobanören Köyü kuzeydoğusunda meydana gelen kaya düşmesinin mühendislik jeolojisi kapsamında değerlendirilmesi. Batman Üniversitesi Yaşam Bilimleri Dergisi, 6(1), 225-239.
- Burrough, P. A. & McDonnell, R. A. (1998). Principles of geographical information systems. Oxford University Press.
- Chung, C. F., & Fabbri, A. G. (2003). Validation of spatial prediction models for landslide hazard mapping. Natural Hazards, 30(3), 451-472. https://doi.org/10.1023/B:NHAZ.0000007172.62651.2b
- Cooke, R. U., ve Doornkamp, J. C. (1990). Geomorphology in Environmental Management. Oxford University Press.
- Crosta, G. B., ve Frattini, P. (2008). Rainfall-induced landslides and debris flows. Hydrological Processes, 22(4), 473-477.
Details
Primary Language
Turkish
Subjects
Geographic Information Systems , Natural Hazards , Geomorphology and Earth Surface Processes , Physical Geography , Physical Geography and Environmental Geology (Other)
Journal Section
Research Article
Publication Date
December 20, 2025
Submission Date
October 23, 2025
Acceptance Date
December 11, 2025
Published in Issue
Year 2025 Volume: 2 Number: 2