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Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy

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Abstract

In this article, the results of a study aimed to assess the landslide susceptibility in the Calaggio Torrent basin (Campanian Apennines, southern Italy) are presented. The landslide susceptibility has been assessed using two bivariate-statistics-based methods in a GIS environment. In the first method, widely used in the existing literature, weighting values (Wi) have been calculated for each class of the selected causal factors (lithology, land-use, slope angle and aspect) taking into account the landslide density (detachment zones + landslide body) within each class. In the second method, which is a modification of the first method, only the landslide detachment zone (LDZ) density has been taken into account to calculate the weighting values. This latter method is probably characterized by a major geomorphological coherence. In fact, differently from the landslide bodies, LDZ must necessarily occur in geoenvironmental classes prone to failure. Thus, the calculated Wi seem to be more reliable in estimating the propensity of a given class to generate failure. The thematic maps have been reclassified on the basis of the calculated Wi and then overlaid, with the purpose to produce landslide susceptibility maps. The used methods converge both in indicating that most part of the study area is characterized by a high–very high landslide susceptibility and in the location and extent of the low-susceptible areas. However, an increase of both the high–very high and moderate–high susceptible areas occurs in using the second method. Both the produced susceptibility maps have been compared with the geomorphological map, highlighting an excellent coherence which is higher using method-2. In both methods, the percentage of each susceptibility class affected by landslides increases with the degree of susceptibility, as expected. However, the percentage at issue in the lowest susceptibility class obtained using method-2, even if low, is higher than that obtained using method-1. This suggests that method-2, notwithstanding its major geomorphological coherence, probably still needs further refinements.

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Acknowledgements

The authors are grateful to two anonymous reviewers for their accurate revisions, which greatly improved the quality of the manuscript. The authors also wish to thank Dr. Francesco Fiorillo (University of Sannio, Benevento) for his helpful suggestions.

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  1. Dipartimento di Studi Geologici e Ambientali, Università degli Studi del Sannio, via dei Mulini 59/A, 82100, Benevento, Italy

    Paolo Magliulo, Antonio Di Lisio, Filippo Russo & Antonio Zelano

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  1. Paolo Magliulo
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Correspondence to Paolo Magliulo.

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Magliulo, P., Di Lisio, A., Russo, F. et al. Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy. Nat Hazards 47, 411–435 (2008). https://doi.org/10.1007/s11069-008-9230-x

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