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Landslides

, Volume 7, Issue 4, pp 433–444 | Cite as

Comparing predictive capability of statistical and deterministic methods for landslide susceptibility mapping: a case study in the northern Apennines (Reggio Emilia Province, Italy)

  • Federico Cervi
  • Matteo Berti
  • Lisa Borgatti
  • Francesco Ronchetti
  • Federica Manenti
  • Alessandro Corsini
Original Paper

Abstract

Statistical and deterministic methods are widely used in geographic information system based landslide susceptibility mapping. This paper compares the predictive capability of three different models, namely the Weight of Evidence, the Fuzzy Logic and SHALSTAB, for producing shallow earth slide susceptibility maps, to be included as informative layers in land use planning at a local level. The test site is an area of about 450 km2 in the northern Apennines of Italy where, in April 2004, rainfall combined with snowmelt triggered hundreds of shallow earth slides that damaged roads and other infrastructure. An inventory of the landslides triggered by the event was obtained from interpretation of aerial photos dating back to May 2004. The pre-existence of mapped landslides was then checked using earlier aerial photo coverage. All the predictive models were run on the same set of geo-environmental causal factors: soil type, soil thickness, land cover, possibility of deep drainage through the bedrock, slope angle, and upslope contributing area. Model performance was assessed using a threshold-independent approach (the ROC plot). Results show that global accuracy is as high as 0.77 for both statistical models, while it is only 0.56 for SHALSTAB. Besides the limited quality of input data over large areas, the relatively poorer performance of the deterministic model maybe also due to the simplified assumptions behind the hydrological component (steady-state slope parallel flow), which can be considered unsuitable for describing the hydrologic behavior of clay slopes, that are widespread in the study area.

Keywords

Shallow landslide Susceptibility Spatial analyses northern Apennines Italy 

Notes

Acknowledgments

The authors are very grateful to the Associate Editor Filippo Catani and to two anonymous reviewers, as their constructive remarks and suggestions have greatly improved the original manuscript.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Federico Cervi
    • 1
  • Matteo Berti
    • 2
  • Lisa Borgatti
    • 3
  • Francesco Ronchetti
    • 1
  • Federica Manenti
    • 4
  • Alessandro Corsini
    • 1
  1. 1.Dipartimento di Scienze della Terra, Università di Modena e Reggio EmiliaModenaItaly
  2. 2.Dipartimento di Scienze della Terra e Geologico-AmbientaliALMA MATER STUDIORUM - Università di BolognaBolognaItaly
  3. 3.Dipartimento di Ingegneria delle Strutture, dei Trasporti, delle Acque, del Rilevamento, del Territorio (DISTART)ALMA MATER STUDIORUM - Università di BolognaBolognaItaly
  4. 4.Servizio Pianificazione Territoriale ed AmbientaleProvincia di Reggio EmiliaReggio EmiliaItaly

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