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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 2
Nat. Hazards Earth Syst. Sci., 9, 507–521, 2009
https://doi.org/10.5194/nhess-9-507-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Methods and strategies to evaluate landslide hazard and risk

Nat. Hazards Earth Syst. Sci., 9, 507–521, 2009
https://doi.org/10.5194/nhess-9-507-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 Mar 2009

31 Mar 2009

Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium

M. Van Den Eeckhaut1,2, P. Reichenbach3, F. Guzzetti3, M. Rossi3, and J. Poesen1 M. Van Den Eeckhaut et al.
  • 1Physical and Regional Geography Research Group, K. U. Leuven, Belgium
  • 2Research Foundation – Flanders, Belgium
  • 3CNR – Istituto di Ricerca per la Protezione Idrogeologica, Perugia, Italy

Abstract. For a 277 km2 study area in the Flemish Ardennes, Belgium, a landslide inventory and two landslide susceptibility zonations were combined to obtain an optimal landslide susceptibility assessment, in five classes. For the experiment, a regional landslide inventory, a 10 m × 10 m digital representation of topography, and lithological and soil hydrological information obtained from 1:50 000 scale maps, were exploited. In the study area, the regional inventory shows 192 landslides of the slide type, including 158 slope failures occurred before 1992 (model calibration set), and 34 failures occurred after 1992 (model validation set). The study area was partitioned in 2.78×106 grid cells and in 1927 topographic units. The latter are hydro-morphological units obtained by subdividing slope units based on terrain gradient. Independent models were prepared for the two terrain subdivisions using discriminant analysis. For grid cells, a single pixel was identified as representative of the landslide depletion area, and geo-environmental information for the pixel was obtained from the thematic maps. The landslide and geo-environmental information was used to model the propensity of the terrain to host landslide source areas. For topographic units, morphologic and hydrologic information and the proportion of lithologic and soil hydrological types in each unit, were used to evaluate landslide susceptibility, including the depletion and depositional areas. Uncertainty associated with the two susceptibility models was evaluated, and the model performance was tested using the independent landslide validation set. An heuristic procedure was adopted to combine the landslide inventory and the susceptibility zonations. The procedure makes optimal use of the available landslide and susceptibility information, minimizing the limitations inherent in the inventory and the susceptibility maps. For the established susceptibility classes, regulations to link terrain domains to appropriate land rules are proposed.

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