Skip to main content

Advertisement

SpringerLink
Log in

Landslide susceptibility mapping for the Black Sea Region with spatial fuzzy multi-criteria decision analysis under semi-humid and humid terrestrial ecosystems

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Landslide, which is a process experienced not only at the local and catchment scales but also the regional and national scales, adversely affects the natural environment, including the flora and fauna, and the socio-economic well-being of human communities. The main aim of the present study was to generate a landslide susceptibility mapping model for the semi-humid and humid terrestrial ecosystems of the Black Sea Region. The modelling was done by using a spatial multi-criterion analysis (SMCA) method based on the integration of fuzzy environment and geographical information system (GIS) techniques and also the use of the AHP approach by incorporating 9 environmental indicators and 27 sub-indicators. In order to allocate a weighting value for each indicator, the fuzzy-AHP approach was applied to determine efficiently sensitive levels of importance for the indicator. In addition, precipitation climatology was included in detail with respect to the temporal and spatial distribution of rainfall in the study area. It was determined that approximately 33% of the research area includes high or very high susceptibility to landslide, whereas about 37% of the research area is in the low or very low susceptibility classes. Most highly or very highly susceptibility areas were located in the western and central Black Sea regions. In conclusion, this study provides an alternative perspective a useful alternative method for landslide susceptibility mapping through the incorporation of fuzzy sets through AHP in conjunction with the Buckley approach in modelling.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Acar DKC, Tasoglu H, Kerem İ (2019) Comparison of GIS-based landslide susceptibility assessment of the Satuk village (Yenice, NW Turkey) by frequency ratio and multi-criteria decision methods. Environ Earth Sci 78:81–94

    Article  Google Scholar 

  • Atkinson PM, Massari R (2011) Autologistic modelling of susceptibility to landsliding in the central Apennines, Italy. Geomorphol 130:55–64

    Article  Google Scholar 

  • Ba Q, Chen Y, Deng S, Wu Q, Yang J, Zhang J (2017) An improved information value model based on gray clustering for landslide susceptibility mapping. ISPRS Int J Geo-Inf 6(18):1–20

    Google Scholar 

  • Bathrellos GD, Skilodimou HD, Chousianitis K, Youssef AM, Pradhan B (2017) Suitability estimation for urban development using multi-hazard assessment map. Sci Total Environ 575:119–134

    Article  Google Scholar 

  • Bera A, Mukhopadhyay BP, Das D (2019) Landslide hazard zonation mapping using multcriteria analysis with the help of GIS techniques: a case study from eastern Himalayas, Namchi. South Sikkim Natural Hazards 96:935–959. https://doi.org/10.1007/s11069-019-03580-w

    Article  Google Scholar 

  • Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17(3):233–247

    Article  Google Scholar 

  • Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95(3):649–655

    Article  Google Scholar 

  • Chen J, Yang ST, Li HW, Zhang B, Lv JR (2013) Research on geographical environment unit division based on the method of natural breaks (Jenks). Int Arch Photogramm Remote Sens Spatial Inf Sci XL-4/W3:47–50, https://doi.org/10.5194/isprsarchives-XL-4-W3-47-2013

  • Cheng CH (1997) Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. Eur J Oper Res 96(2):343–350

    Article  Google Scholar 

  • Dağdeviren M, Yavuz S, Kılınç N (2009) Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst Appl 36(4):8143–8151

    Article  Google Scholar 

  • Dai F, Lee C, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64:65–87

  • Dehnavi A, Aghdam IN, Pradhan B, Morshed Varzandeh MH (2015) A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran. Catena 135:122–148

    Article  Google Scholar 

  • Deng H (1999) Multicriteria analysis with fuzzy pairwise comparison. Int J Approx Reason 21(3):215–231

    Article  Google Scholar 

  • Durán O, Aguilo J (2008) Computer-aided machine-tool selection based on a fuzzy-AHP approach. Expert Syst Appl 34(3):1787–1794

    Article  Google Scholar 

  • Erginal AE, Öztürk B, Ekinci YL, Demirci A (2009) Investigation of the nature of slip surface using geochemical analyses and 2-D electrical resistivity tomography: a case study from Lapseki area, NW Turkey. Environ Geol 58:1167–1175

    Article  Google Scholar 

  • Ersoy H, Yalçınalp B, Arslan M, Babacan AE, Çetiner G (2016) Geological and geomechanical properties of the carbonate rocks at the eastern Black Sea region (NE Turkey). J Afr Earth Sci 123:223–233

    Article  Google Scholar 

  • Ertuğrul İ, Karakaşoğlu N (2008) Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection. Int J Adv Manuf Technol 39(7–8):783–795

    Article  Google Scholar 

  • Ferentinou M, Chalkias C (2013) Mapping mass movement susceptibility across Greece with GIS, ANN and statistical methods, landslide science and practice. Springer, Berlin Heidelberg, pp 321–327

    Google Scholar 

  • Feizizadeh B, Roodposhti MS, Jankowski P, Blaschke T (2014) A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping. Comput Geosci 73:208–221

  • Generali M, Pizziolo M (2013) The susceptibility map for landslides with shallow initiation in the Emilia Romagna region (Italy). Springer, Berlin, Heidelberg

    Book  Google Scholar 

  • Görür N (1988) Timing of opening of the Black Sea basin. Tectonophysics 147:247–262

    Article  Google Scholar 

  • Heo E, Kim J, Boo KJ (2010) Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renew Sust Energ Rev 14(8):2214–2220

    Article  Google Scholar 

  • Hong HY, Ilia I, Tsangaratos P, Chen W, Xu C (2017) A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China. Geomorphology 290:1–16

    Article  Google Scholar 

  • Huang CC, Chu PY, Chiang YH (2008) A fuzzy AHP application in government-sponsored R&D project selection. Omega 36(6):1038–1052

    Article  Google Scholar 

  • Jaafari A, Najafi A, Pourghasemi HR, Rezaeian J, Sattarian A (2014) GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran. Int J Environ Sci Technol 11(4):909–926

    Article  Google Scholar 

  • Jakhar SK, Barua MK (2014) An integrated model of supply chain performance evaluation and decisionmaking using structural equation modelling and fuzzy AHP. Prod Plan Control 25(11):938–957

    Article  Google Scholar 

  • Jenks GF (1967) The data model concept in statistical mapping. International yearbook of cartography 7:186–190

    Google Scholar 

  • Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets Syst 11(3):229–241

    Article  Google Scholar 

  • Lahaoi H, Rhinane H, Hilali A, Lahssini S, Moukrim S (2017) Desertification assessment using MEDALUS model in watershed Oued El Maleh, Morocco. Geosciences 7:1–16

    Article  Google Scholar 

  • Mallick J, Sing RK, AlAwadh MA, Islam S, Khan RA, Qureshi MN (2018) GIS-based landslide susceptibility evaluation using fuzzy-AHP multi-criteria decision-making techniques in the Abha watershed, Saudi Arabia. Environ Earth Sci 77:276–301

    Article  Google Scholar 

  • Mandal B, Mandal S (2018) Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish River basin of eastern Darjeeling Himalaya, India. Adv Space Res 62:3114–3132

    Article  Google Scholar 

  • Margarint MC, Grozavu A, Patriche CV (2013) Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression. Nat Hazards Earth Syst Sci 13:3339–3355

    Article  Google Scholar 

  • Meng QK, Miao F, Zhen J, Wang XY, Wang A, Peng Y, Fan Q (2016) GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant panda natural reserve. China Bull Eng Geol Environ 75(3):923–944

    Article  Google Scholar 

  • Miháliková M, Özyazıcı MA, Dengiz O (2016) Mapping soil water retention on agricultural lands in central and eastern parts of the Black Sea region in Turkey. J Irrig Drain Eng 142(12):05016008–05016001

    Article  Google Scholar 

  • Mondal S, Maiti R (2013) Integrating the analytical hierarchy process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya. Int J Disaster Risk Sci 4(4):200–212

    Article  Google Scholar 

  • Roodposhti MS, Rahimi S, Beglou MJ (2014) PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping. Nat Hazards 73(1):77–95

    Article  Google Scholar 

  • Shahabi H, Khezri S, Ahmad BB, Hashim M (2014) Landslide susceptibility mapping at central Zab basin, Iran: a comparison between analytical hierarchy process, frequency ratio and logistic regression models. Catena 115(4):55–70

    Article  Google Scholar 

  • Shahabi H, Hashim M, Ahmad BB (2015) Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran. Environ. Earth Sci 73:8647–8668

    Article  Google Scholar 

  • Sharam LP, Patel N, Debnath P, Ghose MK (2012) Assessing landslide vulnerability from soil characteristic-a GIS based analysis Arab J Geosci 5:789–796

  • Sharma LP, Patel N, Ghose MK, Debnath P (2015) Develop/ment and application of Shannon's entropy integrated information value model for landslide susceptibility assessment and zonation in SikkimHimalayas in India. Nat Hazards 75(2):1555–1576

    Article  Google Scholar 

  • Skilodimou HD, Bathrellos GD, Chousianitis KAM, Pradhan B (2019a) Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study. Environ Earth Sci 78:47

    Article  Google Scholar 

  • Skilodimou HD, Bathrellos GD, Chousianitis K, Youssef AM (2019b) Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study. Environ Earth Sci 78:47–68

    Article  Google Scholar 

  • Sosson M, Stephenson R, Sheremet Y, Rolland Y, Adamia S, Melkonian R, Kangarli T, Yegorova T, Avagyan A, Galoyan G, Danelian T, Hassig M, Meijers M, Mualler C, Sahakyan L, Sadradze N, Alania V, Onice Enukidz O, Mosar J (2016) The eastern Black Sea-Caucasus region during the cretaceous: new evidence to constrain its tectonic evolution. Compt Rendus Geosci 348:23–32

    Article  Google Scholar 

  • Sun CC (2010) A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst Appl 37(12):7745–7754

    Article  Google Scholar 

  • Turan Demirağ İ, Dengiz O, Özkan B (2019) Spatial assessment and mapping of soil quality index for desertification in the semi-arid terrestrial ecosystem using MCDM in interval type-2 fuzzy environment. Comput Electron Agric 164. https://doi.org/10.1016/j.compag.2019.104933

  • Türkeş M (2010) Analysis of the UN convention to combat desertification with respect to the climate, climate change and drought, and applications in Turkey. In proceeding of symposium on combating desertification. Corum:601–616 (in Turkish)

  • Türkeş M (2013) Observed and projected climate change, drought and desertification in Turkey. Ankara Univ J Environ Sci 4:1–32

    Google Scholar 

  • Türkeş M (2015) Biogeography: a paleogeography and ecology approach. Revised Second Edition, Kriter Publisher - Physical Geography Series No: 3

  • Türkeş M (2017) Drought vulnerability and risk analysis of Turkey with respect to climatic variability and socio-ecological indicators. Ege Coğrafya Dergisi 26(2):47–70

    Google Scholar 

  • Tüysüz O, Yılmaz İÖ, Švabnicka I, Kirici S (2012) The Unaz formation: a key unit in the Western Black Sea Region, N Turkey. Turk J Earth Sci 21:1009–1028

    Google Scholar 

  • Wang Y, Jung KA, Yeo GT, Chou CC (2014) Selecting a cruise port of call location using the fuzzy AHP method: a case study in East Asia. Tour Manag 42:262–270

    Article  Google Scholar 

  • Xu C (2015) Preparation of earthquake-triggered landslide inventory maps using remote sensing and GIS technologies: principles and case studies. Geosci Front 6:825–836

    Article  Google Scholar 

  • Xu C, Dai F, Xu X, Lee YH (2012) GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China. Geomorphology 145:70–80

    Article  Google Scholar 

  • Wu Y, Li W, Wang Q, Liu Q, Yang D, Xing M, Pei Y, Yan S (2016) Landslide susceptibility assessment using frequency ratio, statistical index and certainty factor models for the Gangu County, China. Arab J Geosci 9:84. https://doi.org/10.1007/s12517-015-2112-0

  • Yan F, Zhang Q, Ye S, Ren B (2019) A novel hybrid approach for landslide susceptibility mapping integrating analytical hierarchy process and normalized frequency ratio methods with the cloud model. Geomorphology 327:170–187

    Article  Google Scholar 

  • Yan G, Liang S, Gui X, Xie Y, Zhao H (2018) Optimizing landslide susceptibility mapping in the Kongtong District, NW China: comparing the subdivision criteria of factors. Geocarto Int. https://doi.org/10.1080/10106049.2018.1499816

  • Yang JL, Chiu HN, Tzeng GH, Yeh RH (2008) Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Inf Sci 178(21):4166–4183

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  Google Scholar 

  • Zheng G, Zhu N, Tian Z, Chen Y, Sun B (2012) Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Saf Sci 50(2):228–239

    Article  Google Scholar 

  • Zhou SH, Chen GQ, Fang LG, Nie YW (2016) GIS-based integration of subjective and- objective weighting methods for regional landslides susceptibility mapping. Sustain For 8(4):334–349

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Dr. Gregory T. Sullivan for helpful comments and editing the English in an earlier version of this manuscript.

Author information

Authors and Affiliations

  1. Department of Geography, The Faculty of Economic, Administrative and Social Sciences, Samsun University, Samsun, Turkey

    İ. Demirağ Turan

  2. Department of Industrial Engineering, Faculty of Engineering, Ondokuz Mayıs University, Samsun, Turkey

    B. Özkan

  3. Center for Climate Change and Policy Studies, Boğaziçi University, İstanbul, Turkey

    M. Türkeş

  4. Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Ondokuz Mayıs University, Samsun, Turkey

    O. Dengiz

Authors
  1. İ. Demirağ Turan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. Özkan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Türkeş
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. O. Dengiz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to O. Dengiz.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Turan, İ.D., Özkan, B., Türkeş, M. et al. Landslide susceptibility mapping for the Black Sea Region with spatial fuzzy multi-criteria decision analysis under semi-humid and humid terrestrial ecosystems. Theor Appl Climatol 140, 1233–1246 (2020). https://doi.org/10.1007/s00704-020-03126-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-020-03126-2

Search

Navigation