TY - JOUR T1 - HEYELAN DUYARLILIĞI, TEHLİKESİ VE RİSKİ İLE İLGİLİ ÇALIŞMALARDA TÜRKİYE VE AVRUPA BİRLİĞİ ÜLKELERİNİN KARŞILAŞTIRILMASI TT - COMPARISON OF LANDSLIDE SUSCEPTIBILITY, HAZARD AND RISK STUDIES BETWEEN TURKEY AND EUROPEAN UNION COUNTRIES AU - Derin, Leyla AU - Ercanoğlu, Murat PY - 2018 DA - May Y2 - 2018 DO - 10.35341/afet.414364 JF - Afet ve Risk Dergisi PB - Ankara Üniversitesi WT - DergiPark SN - 2636-8390 SP - 26 EP - 38 VL - 1 IS - 1 LA - tr AB - Dünyagenelinde ekonomik, sosyolojik, çevresel ve fiziksel kırılganlıkların artması,son yıllarda afetler sonucunda oluşan can ve mal kayıplarını önemli orandaarttırmıştır. Coğrafi yapısı, iklimselve jeolojik özellikleri nedeniyle afetlere sık sık maruz kalan Türkiye’deözellikle depremler, heyelanlar ve taşkınlar önemli miktarda can ve mal kaybınasebep olmaktadır. Yıkıcı etkiye sahip olan heyelanların verdiği zararlarınboyutlarının gereğinden daha düşük tahmin edilmesi, heyelanlara ilişkin detaylıçalışmaların yapılmasını zaruri kılmaktadır.Buçalışmada heyelan duyarlılığı, tehlikesi ve riski ile ilgili bilimselçalışmalarda Türkiye ve Avrupa Birliği (AB)’ne üye ülkelerin karşılaştırılmasıamaçlanmıştır. Yapılan taramalara göreheyelan duyarlılığı, tehlikesi ve riski ile ilgili AB’ne üye ülkelerdeki veTürkiye’deki araştırmacılar tarafından uluslararası dergilerde yayımlanantoplam 714 çalışma incelenmiştir. Bu çalışmalar incelendiğinde en fazlaçalışmanın heyelan duyarlılığı konusunda yapıldığı görülmektedir. AB’ne üyeülkelerdeki araştırmacılar tarafından yapılan toplam 335 heyelan duyarlılığı,164 heyelan tehlikesi ve 122 heyelan riski ile ilgili çalışmaya ulaşılırken,Türkiye’deki araştırmacılar tarafından yapılan 85 heyelan duyarlılığı, 3heyelan tehlikesi ve 5 heyelan riski ile ilgili çalışmaya ulaşılmıştır.Heyelanduyarlılığı ile ilgili çalışmalar kıyaslandığında, toplam çalışma sayısıaçısından İtalya’daki araştırmacılar tarafından yapılan 107 çalışma ilk sıradayer almaktadır. Alınan toplam atıf sayısı açısından ise Türkiye’dekiaraştırmacılar tarafından yapılan ve toplam çalışma sayısı açısından 2. sıradaolan 85 çalışma, aldıkları 5344 atıfla ilk sırada gelmektedir. AB’ne üyeülkelerle kıyaslandığında Türkiye’de yapılan heyelan duyarlılığı çalışmaları bualanda önemli bir yer tutarken, heyelan tehlikesi ve riski ile ilgili az sayıdaçalışma olması bu alanlarda daha fazla çalışılmasının gerekliliğinigöstermektedir. KW - Heyelan KW - Heyelan Duyarlılığı KW - Heyelan Tehlikesi KW - Heyelan Riski KW - Türkiye KW - AB Ülkeleri N2 - Increasing economic,sociological, environmental and physical resilience around the world have significantlyincreased the loss of life and property resulting from disasters in recentyears. Geographical structure, climatic and geological characteristics due tofrequent exposure to disasters, especially earthquakes in Turkey, landslidesand floods are causing a significant amount of loss of life and property. Theestimation of the extent of damages caused by landslides with destructiveeffects to a lesser extent makes it necessary to carry out detailed studies onlandslides.In this study, it wasaimed at comparing the scientific landslide susceptibility, hazard and riskstudies related to Turkey and the European Union countries. According to thelandslide susceptibility, hazard and risk literature surveys, a total of 714studies published in international journals by researchers in the EuropeanUnion member countries and Turkey, have been examined. When these studies areexamined, it was seen that most of the studies were performed about thelandslide susceptibility concept. A total of 335 landslide susceptibility, 164landslide hazard and 122 landslide risk studies have been reached by theresearchers in EU member countries, while 85 landslide susceptibility, 3landslide hazard and 5 landslide risk studies have been conducted byresearchers in Turkey.When studies on thelandslide susceptibility are compared, 107 studies made by researchers inItaly, in terms of the total number of works, are in the first place. 85 studies performed by Turkish scientists,received 5344 citations, are in the first place in terms of total number ofcitations and are in the second place in terms of the total number of studies.Compared with the European Union countries, landslide susceptibility studiesconducted in Turkey holding an important place in this area, but, few studieson landslide hazard and risk show that the need for more work in landslidehazard and risk studies. CR - Aleotti, P., Chowdhury, R. (1999). Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the Environment, 58, 21-44. CR - Baeza, C., & Corominas, J. (2001). Assessment of shallow landslide susceptibility by means of multivariate statistical techniques. Earth surface processes and landforms, 26(12), 1251-1263. CR - Cardinali, M., Reichenbach, P., Guzzetti, F., Ardizzone, F., Antonini, G., Galli, M., ... & Salvati, P. (2002). A geomorphological approach to the estimation of landslide hazards and risks in Umbria, Central Italy. Natural hazards and earth system science, 2(1/2), 57-72. CR - Carrara, A., Cardinali, M., Detti, R., Guzzetti, F., Pasqui, V., & Reichenbach, P. (1991). GIS techniques and statistical models in evaluating landslide hazard. Earth surface processes and landforms, 16(5), 427-445. CR - Catani, F., Casagli, N., Ermini, L., Righini, G., & Menduni, G. (2005). Landslide hazard and risk mapping at catchment scale in the Arno River basin. Landslides, 2(4), 329-342. CR - Chung, C. J. F., & Fabbri, A. G. (1999). Probabilistic prediction models for landslide hazard mapping. Photogrammetric engineering and remote sensing, 65(12), 1389-1399. CR - Clerici, A., Perego, S., Tellini, C., & Vescovi, P. (2002). A procedure for landslide susceptibility zonation by the conditional analysis method. Geomorphology, 48(4), 349-364. CR - Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J. P., Fotopoulou, S., ... & Pitilakis, K. (2014). Recommendations for the quantitative analysis of landslide risk. Bulletin of engineering geology and the environment, 73(2), 209-263. CR - EM-DAT (2015). The human cost of natural disasters 2015: a global perspective. http://emdat.be/human_cost_natdis (Son Erişim: 07.04.2018) CR - Ercanoglu, M., & Gokceoglu, C. (2002). Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach. Environmental geology, 41(6), 720-730. CR - Ercanoglu, M., & Gokceoglu, C. (2004). Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey). Engineering Geology, 75(3-4), 229-250. CR - Ermini, L., Catani, F., & Casagli, N. (2005). Artificial neural networks applied to landslide susceptibility assessment. Geomorphology, 66(1-4), 327-343. CR - Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi, E., & Savage, W. Z. (2008). Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology, 102(3), 85-98. CR - Gomez, H., & Kavzoglu, T. (2005). Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Engineering Geology, 78(1-2), 11-27. CR - Gökçe, O., Özden, Ş., Demir, A., (2008). Türkiye’de Afetlerin Mekansal ve İstatistiksel Dağılımı: Afet Bilgileri Envanteri. Afet İşleri Genel Müdürlüğü, Ankara, 117 s. CR - Guzzetti, F. (2000). Landslide fatalities and the evaluation of landslide risk in Italy. Engineering Geology, 58(2), 89-107. CR - Guzzetti, F., Carrara, A., Cardinali, M., & Reichenbach, P. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 31(1), 181-216. CR - Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., & Galli, M. (2006). Estimating the quality of landslide susceptibility models. Geomorphology, 81(1-2), 166-184. CR - Guzzetti, F., Reichenbach, P., Cardinali, M., Galli, M., & Ardizzone, F. (2005). Probabilistic landslide hazard assessment at the basin scale. Geomorphology, 72(1-4), 272-299. CR - Hutchinson, J.N. (1995). Landslide hazard assessment. Proceedings of 6th International Symposium on the Landslides, 10-14 February 1992, Christchurch, England, D.H.Bell (ed.), Balkema, 1805-1842. CR - Pourghasemi, H. R., Pradhan, B., & Gokceoglu, C. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran. Natural hazards, 63(2), 965-996. CR - Pradhan, B., & Lee, S. (2010). Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environmental Modelling & Software, 25(6), 747-759. CR - Pradhan, B., & Lee, S. (2010). Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides, 7(1), 13-30. CR - Süzen, M. L., & Doyuran, V. (2004). A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate. Environmental geology, 45(5), 665-679. CR - Süzen, M. L., & Doyuran, V. (2004). Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Engineering Geology, 71(3-4), 303-321. CR - Schuster, R. L. (1996). Socio-economic significance of landslides. In: Turner, Shuster (eds) “Landslides: investigation and mitigation”. Transportation Research Board – National Research Council, Special Report 247, 12–35. CR - Schuster, R.L., and Fleming, R.W. (1986). Economic losses and fatalities due to landslides. Bulletin of Association of Engineering Geologists, 23(1), 11-28. CR - UNISDR (2015). ” Sendai Framework for Disaster Risk Reduction 2015 – 2030”.http://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf (Son Erişim: 07.04.2018) CR - Van Westen, C. J., Rengers, N., & Soeters, R. (2003). Use of geomorphological information in indirect landslide susceptibility assessment. Natural hazards, 30(3), 399-419. CR - Varnes D.J. 1984. Landslide hazard zonation: a review of principles and practice, Unesco Press, Paris, 63. CR - Yalcin, A. (2008). GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): comparisons of results and confirmations. Catena, 72(1), 1-12. CR - Yesilnacar, E., & Topal, T. (2005). Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey). Engineering Geology, 79(3-4), 251-266. CR - Yilmaz, I. (2009). Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat—Turkey). Computers & Geosciences, 35(6), 1125-1138. CR - Yilmaz, 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. UR - https://doi.org/10.35341/afet.414364 L1 - http://dergipark.org.tr/tr/download/article-file/499208 ER -