Relative Landslide Risk Assessment for the City of Valjevo Open image in new window

  • Katarina AndrejevEmail author
  • Jelka Krušić
  • Uroš Đurić
  • Miloš Marjanović
  • Biljana Abolmasov
Conference paper


This paper represents a relative landslide risk assessment of the City of Valjevo in Western Serbia. After the extreme rainfall during the May 2014, many new landslides were triggered, and Valjevo was one of the most affected areas in Serbia. The modeling was preceded by the data selection, and included ranging and preprocessing of the conditioning factors. The following eight factors were chosen as representative: stream distance, slope, lithology, elevation, distance from hydrogeological borders, land use, erodibility and aspect. Landslide susceptibility analysis was completed using the Analytical Hierarchy Process (AHP) multi-criteria method. Validation was performed by cross-referencing with an existing landslide inventory, which was made by field mapping and interpretation of satellite images. Finally, the relative risk was determined for the City of Valjevo by using a realistic population distribution model as a source for elements at risk. The results show the distribution of risk and suggest that 20% of the inhabited area falls into the high risk class, but this encompasses less than 5% of the total population.


Landslides Susceptibility map Relative risk assessment Validation 



This research was not possible without Project BEWARE (BEyond landslide aWAREness) funded by People of Japan and UNDP Office in Serbia (grant No 00094641). The project was implemented by the State Geological Survey of Serbia, and the University of Belgrade Faculty of Mining and Geology. All activities are supported by the Ministry of Energy and Mining, Government Office for Reconstruction and Flood Relief and Ministry for Education, Science and Technological Development of the Republic of Serbia Project No TR36009, too.


  1. Bhushan N, Rai K (2004) Strategic decision making: applying the analytic hierarchy process. Springer, London (ISBN 978-1-85233-864-0), p 172Google Scholar
  2. Cascini L (2008) Applicability of landslide susceptibility and hazard zoning at different scales. Eng Geol 102:164–177CrossRefGoogle Scholar
  3. Corominas J et al (2014) Recommendations for the quantitative analysis of landslide risk. Bull Eng Geol Env 73(2):209–263Google Scholar
  4. Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64:65–87CrossRefGoogle Scholar
  5. Fell R et al (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98CrossRefGoogle Scholar
  6. Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:861–874CrossRefGoogle Scholar
  7. Gavrilović S (1971) Inženjering o bujičnim tokovima i eroziji, Institut za eroziju, melioracije i vodoprivredu bujičnih tokova, Univerzitet u Beogradu, Šumarski fakultet i Časopis Izgradnja—specijalno izdanjeGoogle Scholar
  8. Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299CrossRefGoogle Scholar
  9. Komac M (2006) A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia. Geomorphology 74:17–28CrossRefGoogle Scholar
  10. Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40:1095–1113CrossRefGoogle Scholar
  11. Marjanović M, Abolmasov B, Đurić U, Zečević S (2013) Impact of geo-environmental factors on landslide susceptibility using an AHP method: a case study of Fruška Gora Mt. Serbia. Annales Geologiques de la Peninsule Balkanique 74:91–100CrossRefGoogle Scholar
  12. Marjanović et. al (2016) Coupling field and satellite data for an event-based landslide inventory. In: Proceedings of the 12th international symposium on landslides, 12–19 June 2016. Naples, Italy, pp 1361–1366Google Scholar
  13. Pourghasaemi et al (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed. Iran Nat Hazards 63:965–996CrossRefGoogle Scholar
  14. Saaty TL, Vargas LG (2001) Models, methods, concepts and applications of the analytic hierarchy process. Kluwer, Springer, US, p 333CrossRefGoogle Scholar
  15. Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. Int Assoc Eng Geol, Paris, p 63Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Katarina Andrejev
    • 1
    Email author
  • Jelka Krušić
    • 1
  • Uroš Đurić
    • 2
  • Miloš Marjanović
    • 1
  • Biljana Abolmasov
    • 1
  1. 1.Faculty of Mining and GeologyUniversity of BelgradeBelgradeSerbia
  2. 2.Faculty of Civil EngineeringUniversity of BelgradeBelgradeSerbia

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