Landslide Susceptibility Assessment: GIS Application to a Complex Mountainous Environment

  • Adrian GrozavuEmail author
  • Sergiu Pleşcan
  • Cristian Valeriu Patriche
  • Mihai Ciprian Mărgărint
  • Bogdan Roşca
Part of the Environmental Science and Engineering book series (ESE)


This study attempts to quantify landslide susceptibility in the upper Putna River basin in the Romanian Carpathians Bend using GIS techniques and logistic regression. First, a detailed landslide inventory was carried out and a GIS database was built, comprising potential predictors of landslide occurrence. The GIS database included 11 quantitative predictors, mostly geomorphometric parameters, and 4 qualitative predictors which were transformed into quantitative variables using landslide density approach. The logistic regression analysis, combined with a stepwise selection of the predictors, showed that landslide occurrence is best explained by slope inclination class, altitude, soil class, distance to drainage network and surface geology. The results show that the potentially unstable terrains, displaying high and very high landslide susceptibility values, cover an area about 3 times greater than the mapped landslide area.


Digital Elevation Model Landslide Susceptibility Drainage Network Landslide Occurrence Landslide Inventory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This study was carried out with financial support from the project POSDRU/89/1.5/S/49944 coordinated by „Al. I. Cuza” University of Iaşi, Romania. The authors wish to thank the reviewers whose comments and corrections were extremely useful for the improvement of the chapter.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Adrian Grozavu
    • 1
    Email author
  • Sergiu Pleşcan
    • 1
  • Cristian Valeriu Patriche
    • 1
    • 2
  • Mihai Ciprian Mărgărint
    • 1
  • Bogdan Roşca
    • 1
    • 2
  1. 1.Geography DepartmentAlexandru Ioan Cuza University of IaşiIasiRomania
  2. 2.Iaşi Branch, Geography TeamRomanian AcademyIasiRomania

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