Abstract
Turkey is highly prone to landslides because of the geological and geographic location. The study area, which is located in a tectonically active region, has been significantly affected by mass movements. Flow type landslides are frequently observed due to this location. This study aims at determining the source area and propagation of debris flows in the study area. We used the heuristic method to extract source areas of debris flow, and then used receiver operating characteristic (ROC) curve analysis to assess the performance of the method, and finally calculated the Area under curve (AUC) values being 83.64% and 80.39% for the success rate and prediction rate, respectively. We calculated potential propagation area and runout distance with Flow-R software. In conclusion, the obtained results (susceptibility map, propagation and runout distance) are very important for decision-makers at the region located on an active fault zone, which is highly prone to natural disasters. The outputs of this study could be used in site selection studies, designing erosion prevention systems and protecting existing human-made structures.
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Abuzied S, Ibrahim S, Kaiser M, Saleem T (2016) Geospatial susceptibility mapping of earthquake-induced landslides in Nuweiba area, Gulf of Aqaba, Egypt. Journal of Mountain Science 13: 1286–303. https://doi.org/10.1007/s11629-015-3441-x
Abuzied SM, Alrefaee HA (2019) Spatial prediction of landslide-susceptible zones in El-Qaá area, Egypt, using an integrated approach based on GIS statistical analysis. Bulletin of Engineering Geology and the Environment 78: 2169–2195. https://doi.org/10.1007/s10064-018-1302-x
Abuzied SM, Pradhan B (2020) Hydro-geomorphic assessment of erosion intensity and sediment yield initiated debris-flow hazards at Wadi Dahab Watershed, Egypt. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 1–26. https://doi.org/10.1080/17499518.2020.1753781
Akbaş B, Akdeniz N, Aksay A, et al. (1991) Turkey geology map. General Directorate of Mineral Research and Exploration Publications. Ankara Turkey. (In Turkish)
Bee EJ, Dashwood C, Pennington C, et al. (2019) Creating a national scale debris flow susceptibility model for Great Britain: a GIS based heuristic approach 2. Natural Hazards and Earth System Sciences. Discuss. https://doi.org/10.5194/nhess-2019-54
Blais-Stevens A, Behnia P (2016) Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada. Natural Hazards and Earth System Sciences 16(2): 449–462. https://doi.org/10.5194/nhess-16-449-2016
Boehner J, Selige T (2006) Spatial prediction of soil attributes using terrain analysis and climate regionalisation. In: Boehner, J., McCloy, K.R., Strobl, J.: ‘SAGA — Analysis and Modelling Applications’, Goettinger Geographische Abhandlungen 115: 13–27
Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides investigation and mitigation. Transportation research board, US National Research Council. Special Report 247, Washington, DC, Chapter 3, pp. 36–75
Demir G (2016) Landslide susceptibility assessment of the part of the North Anatolian Fault Zone (Turkey) by GIS-based frequency ratio and index of entropy models. Natural Hazards and Earth System Sciences. https://doi.org/10.5194/nhess-2016-327
Emiliano I (2015) Heuristic Reasoning: Studies in Applied Philosophy, Epistemology and Rational Ethics. Switzerland: Springer International Publishing. pp 1–2. https://doi.org/10.1007/978-3-319-09159-4
Erik D, Mutlutürk M (2008) Yukarı Kelkit vadisi Koyulhisar-Reşadiye arasındaki paleo moloz akmaları. IX. Bölgesel Kaya Mekaniği Sempozyumu, Dokuz Eylül Üniversitesi, İzmir. (In Turkish)
Erik D, Yılmaz H (2005) 17.03.2005 Kuzulu (Sugözü-Koyulhisar-Sivas) moloz çığı. 58. Türkiye Jeoloji Kurultayı, 11–17 Nisan 2005 Bildiri Özleri kitabı, 179–180, Ankara. (In Turkish)
ESRI (2011) ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute
Francipane A, Arnone E, Lo Conti F, et al. (2014) A comparison between heuristic, statistical, and data-driven methods In landslide susceptibility assessment: An application to the Briga and Giampilieri catchments. CUNY Academic Works. https://academicworks.cuny.edu/cc_conf_hic/150
Gamma P (2000) DF-Walk: Ein murgang-simulationsprogramm zur gefahrenzonierung (Geographica Bernensia, G66). University of Bern. (In German)
Gokceoglu C, Sönmez H, Nefeslioglu HA, et al. (2005) The March 17, 2005 Kuzulu landslide (Sivas, Turkey) and landslide susceptibility map of its near vicinity. Engineering Geology 81: 65–83. https://doi.org/10.1016/j.enggeo.2005.07.011
Guo X, Wu W (2015) Some ideas on constitutive modeling of debris materials in: Wu, W (Ed.), Recent Advances in Modeling Landslides and Debris Flows. Springer International Publishing, Switzerland pp 1–9. https://doi.org/10.1007/978-3-319-11053-0
Gürsoy H, Tatar O, Mesci L, Koçbulut F (2005) KAFZ üzerinde gelişen 17 Mart 2005 Kuzulu mahallesi Heyelaninin (Sugözü Köyü — Koyulhisar, Sivas) jeolojik, jeomorfolojik özellikleri ve mevcut risk durumu. ATAG-9 Toplantisi, Bildiri özleri Kitabi, Sivas. pp 44–45. (In Turkish)
Hastaoğlu KÖ, Poyraz F, Türk T, et al. (2018) Investigation of the success of monitoring slow motion landslides using Persistent Scatterer Interferometry and GNSS methods. Survey Review 50(63): 475–486. https://doi.org/10.1080/00396265.2017.1295631
Hoek E, Bray JW (1981) Rock Slope Engineering. Revised 3rd edition. The Institution of Mining and Metallurgy, London. pp 341–351
Holmgren P (1994) Multiple flow direction algorithms for runoff modeling in grid based elevation models: An empirical evaluation. Hydrological Processes, 8(4): 327–334. https://doi.org/10.1002/hyp.3360080405
Horton P, Jaboyedoff M, Rudaz B, Zimmermann M (2013) Flow- R, a model for susceptibility mapping of debris flows and other gravitational hazards at a regional scale. Natural Hazards and Earth System Sciences 13: 869–885. https://doi.org/10.5194/nhess-13-869
Ketin I (1969) Kuzey Anadolu Fayi hakkinda. Maden Tetkik ve Arama Dergisi. 72:1–27.(In Turkish)
Leoni G, Campolo D, Falconi L, et al. (2015) Heuristic method for landslide susceptibility assessment in the Messina municipality. In Engineering Geology for Society and Territory — Volume 2: Landslide Processes Springer International Publishing 2: 501–504. https://doi.org/10.1007/978-3-319-09057-3_82
Pearl J (1984) Heuristics: Intelligent search strategies for computer problem solving. New York, Addison-Wesley. p 382.
Perla R, Cheng TT, McClung DM (1980) A two-parameter model of snow-avalanche motion. Journal of Glaciology 26: 197–207. https://doi.org/10.3189/S002214300001073X
Polat A, Gürsoy H (2014) Sayısal Yükselti Modeli (SYM) verileri yardımıyla 17 Mart 2005 Kuzulu (Koyulhisar, Sivas) heyelanının hacim hesabı. ATAG 18. Muğla, Sıtkı Koçman Üniversitesi. (In Turkish)
Polat A, Tatar O (2017) 2D simulation of probable debris flow in Koyulhisar, Turkey. International Symposium on Gis Applications in Geography and Geosciences. Çanakkale, Turkey.
Pradhan B (2010) Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches. Journal of the Indian Society of Remote Sensing 38: 301–320. https://doi.org/10.1007/s12524-010-0020-z
Riley SJ, DeGloria SD, Elliot R (1999) A terrain ruggedness index that quantifies topographic heterogeneity. Intermountain Journal of Sciences 5: 23–27.
Sharma LP, Patel N, Debnath P, Ghose MK (2012) Assessing landslide vulnerability from soil characteristics—a GIS-based analysis. Arabian Journal of Geosciences 5: 789–796. https://doi.org/10.1007/s12517-010-0272-5
Takahashi T (2007) Debris flow: Mechanics, prediction and countermeasures. Taylor & Francis. p 448.
Tatar O, Aykanat D, Kocbulut F, et al. (2000) Landslide investigation and assessment report of Koyulhisar town centre and district police chief building. Faculty of Engineering, Cumhuriyet University, Sivas, Turkey (In Turkish)
Ulusay R, Aydan Ö, Kılıç R (2007) Geotechnical assessment of the 2005 Kuzulu landslide (Turkey). Engineering Geology 89: 112–128. https://doi.org/10.1016/j.enggeo.2006.09.020
Ulusay R (2007) Heyelanlar ve mühendislik şevlerindeki duraysizliklar: Türleri, etkileri ve zararlarin azaltilmasi. Sel-Heyelan-Çiğ Sempozyumu, Samsun, Bildiriler Kitabi. pp 158–160. (In Turkish)
Varnes DJ (1978) Slope movement types and processes, in Schuster RL, and Krizek RJ, eds., Landslides: Analysis and control, National Research Council, Washington, D.C., Transportation Research Board, National Academy Press, Special Report 176: 11–33.
Yılmaz I (2009) A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks. Bulletin of Engineering Geology and the Environment 68: 297–306. https://doi.org/10.1007/s10064-009-0185-2
Yılmaz I (2010) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environmental Earth Sciences 61(4): 821–836. https://doi.org/10.1007/s12665-009-0394-9
Zimmermann M, Mani P, Gamma P, et al. (1997) Murganggefahr und Klimaänderung — ein GIS-basierter Ansatz. NFP31 Schlussbericht. Vdf Verlag, Zürich. P. 162. (In German)
Acknowledgements
The authors want to thank the Provincial Disaster and Emergency Directorate of Sivas for all supports. Also, we thank the anonymous reviewers for their contribution to the development of the previous version of the manuscript.
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Polat, A., Erik, D. Debris flow susceptibility and propagation assessment in West Koyulhisar, Turkey. J. Mt. Sci. 17, 2611–2623 (2020). https://doi.org/10.1007/s11629-020-6261-6
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DOI: https://doi.org/10.1007/s11629-020-6261-6