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Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy)

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Abstract

Debris flows are among the most hazardous phenomena in nature, requiring the preparation of susceptibility models in order to cope with this severe threat. The aim of this research was to verify whether a grid cell-based susceptibility model was capable of predicting the debris-flow initiation sites in the Giampilieri catchment (10 km2), which was hit by a storm on the 1st October 2009, resulting in more than one thousand landslides. This kind of event is to be considered as recurrent in the area as attested by historical data. Therefore, predictive models have been prepared by using forward stepwise binary logistic regression (BLR), a landslide inventory and a set of geo-environmental attributes as predictors. In particular, the effects produced in the quality of the predictive models by changing the grid cell size (2, 4, 16 and 32 m) have been explored in terms of predictive performance, robustness, importance and role of the selected predictors. The results generally attested for high predictive performances of the 2, 8 and 16 m model sets (AUROC > 0.8), with the latter producing slightly better predictions and the 32 m showing the worst yet still acceptable performance and the lowest robustness. As regards the predictors, although all the 4 sets of models share a common group (topographic attributes, outcropping lithology and land use), the similarity resulted higher between the 8 and 16 m sets. The research demonstrates that no meaningful loss in the predictive performance arises by adopting a coarser cell size for the mapping unit. However, the largest adopted cell size resulted in marginally worse model performance, with AUROC slightly below 0.8 and error rates above 0.3.

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Acknowledgments

The findings and discussion of this research are the results of the activity which was carried out in the framework of the Ph.D. research projects of Mariaelena Cama and Luigi Lombardo at the “Dipartimento di Scienze della Terra e del Mare” of the University of Palermo (XXV cycle), supervisor Prof. E. Rotigliano. Luigi Lombardo Ph.D. thesis was internationally co-tutored with the Department of Geography of the University of Tübingen (Deutschland). This research was supported by the project SUFRA_SICILIA, funded by the ARTA-Regione Sicilia, and the FFR 2012/2013 Project, funded by the University of Palermo. Authors have commonly shared all the part of the research as well as of the manuscript preparation. Clare Hampton has linguistically edited the final version of this text. Authors wish to thank two anonymous reviewers which allowed to improve the quality of the manuscript.

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Authors and Affiliations

  1. Dipartimento di Scienze della Terra e del Mare, Università degli Studi di Palermo, Palermo, Italy

    M. Cama, C. Conoscenti, L. Lombardo & E. Rotigliano

  2. Department of Physical Geography and GIS, University of Tübingen, Tübingen, Germany

    L. Lombardo

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  1. M. Cama
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  2. C. Conoscenti
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  3. L. Lombardo
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  4. E. Rotigliano
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Correspondence to M. Cama.

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Cama, M., Conoscenti, C., Lombardo, L. et al. Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy). Environ Earth Sci 75, 238 (2016). https://doi.org/10.1007/s12665-015-5047-6

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