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2019 | OriginalPaper | Chapter

Application of a Statistical Approach to Landslide Susceptibility Map Generation in Urban Settings

Authors : Ciro Sepe, Pierluigi Confuorto, Anna Claudia Angrisani, Diego Di Martire, Mariano Di Napoli, Domenico Calcaterra

Published in: IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 1

Publisher: Springer International Publishing

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Abstract

Landslide susceptibility maps are effective tools for the mitigation of risks caused by such geological events. In line with recent scientific trends and thanks to the availability of detailed geological data, landslide susceptibility modeling, by means of statistical methodologies, has gained increasing consideration. The present work is based on a methodology widely employed in the field of ecology to draw prediction maps for the occurrence probability of certain species (MaxEnt). The study area is located in Palma Campania, a town sited in the peri-vesuvian area (in the province of Napoli, southern Italy) and characterized by a significant presence of pyroclastic soils, affected by several landslide events, one of which killed eight people in 1986. In this work, eleven geomorphological and geological predisposing factors were selected, based on previous experiences of landslides in peri-vesuvian areas and following several field surveys. Results were critically evaluated using a validation dataset (Receiver Operating Characteristic—ROC curves), by means of Sensitivity-Specificity graphs estimating Area Under Curve (AUC), and other tests such as the Jackknife and response curves, which highlighted the major role played by a number of factors. The consistent agreement between our results and the existing official map demonstrates the validity of the adopted procedure for emergency and land planning.

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Literature
go back to reference Calcaterra, D., Parise, M., Palma, B.: Combining historical and geological data for the assessment of the landslide hazard: a case study from Campania, Italy. Nat. Hazards Earth Syst. Sci. 3(1/2), 3–16 (2003) Calcaterra, D., Parise, M., Palma, B.: Combining historical and geological data for the assessment of the landslide hazard: a case study from Campania, Italy. Nat. Hazards Earth Syst. Sci. 3(1/2), 3–16 (2003)
go back to reference Carotenuto, F., Angrisani, A.C., Bakthiari, A., Carratù, M.T., Di Martire, D., Finicelli, G.F., Raia, P., Calcaterra, D.: A new statistical approach for landslide susceptibility assessment in the urban area of Napoli (Italy). In: Proceedings of the 4th World Landslide Forum, Ljubljana, Slovenia, vol. 2, pp. 881–889, May 29–June 2, 2017. Springer International Publishing, switzerland (2017). https://doi.org/10.1007/978-3-319-53498-5_100 Carotenuto, F., Angrisani, A.C., Bakthiari, A., Carratù, M.T., Di Martire, D., Finicelli, G.F., Raia, P., Calcaterra, D.: A new statistical approach for landslide susceptibility assessment in the urban area of Napoli (Italy). In: Proceedings of the 4th World Landslide Forum, Ljubljana, Slovenia, vol. 2, pp. 881–889, May 29–June 2, 2017. Springer International Publishing, switzerland (2017). https://​doi.​org/​10.​1007/​978-3-319-53498-5_​100
go back to reference Carratù, M.T., Di Martire, D., Finicelli, G.F., Calcaterra, D.: Comparison of bivariate and multivariate analyses for landslide susceptibility mapping in the Phlegraean district: the case study of Camaldoli hill (Napoli, Italy). Rend. Online Soc. Geol. It. 35, 50–53 (2015). https://doi.org/10.3301/ROL.2015.61CrossRef Carratù, M.T., Di Martire, D., Finicelli, G.F., Calcaterra, D.: Comparison of bivariate and multivariate analyses for landslide susceptibility mapping in the Phlegraean district: the case study of Camaldoli hill (Napoli, Italy). Rend. Online Soc. Geol. It. 35, 50–53 (2015). https://​doi.​org/​10.​3301/​ROL.​2015.​61CrossRef
go back to reference Cruden, D.M., Varnes, D.J.: Landslide types and processes. In: Turner, A.K., Schuster, R.L. (eds.) Landslides: Investigation and Mitigation, vol. 247, pp. 36–75. Transportation Research Board, National Research Council, National Academy Press, Washington, DC, Special report (1996) Cruden, D.M., Varnes, D.J.: Landslide types and processes. In: Turner, A.K., Schuster, R.L. (eds.) Landslides: Investigation and Mitigation, vol. 247, pp. 36–75. Transportation Research Board, National Research Council, National Academy Press, Washington, DC, Special report (1996)
go back to reference Felicísimo, Á.M., Cuartero, A., Remondo, J., Quirós, E.: Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study. Landslides 10(2), 175–189 (2013). https://doi.org/10.1007/s10346-012-0320-1CrossRef Felicísimo, Á.M., Cuartero, A., Remondo, J., Quirós, E.: Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study. Landslides 10(2), 175–189 (2013). https://​doi.​org/​10.​1007/​s10346-012-0320-1CrossRef
go back to reference Guadagno, F.M., Palmieri, M., Siviero, V., Vallario, A.: The Palma Campania landslide. Geol. Tec. 4, 18–29 (1988). (in Italian) Guadagno, F.M., Palmieri, M., Siviero, V., Vallario, A.: The Palma Campania landslide. Geol. Tec. 4, 18–29 (1988). (in Italian)
go back to reference Hydrogeomorphological Setting Plan: Update year 2015, Naples, Italy (2015) (in Italian) Hydrogeomorphological Setting Plan: Update year 2015, Naples, Italy (2015) (in Italian)
go back to reference Jenks, G.F.: The data model concept in statistical mapping. Int. Yearb. Cartography 7, 186–190 (1967) Jenks, G.F.: The data model concept in statistical mapping. Int. Yearb. Cartography 7, 186–190 (1967)
go back to reference Municipality Emergency Plan of Palma Campania town (2016) Municipality Emergency Plan of Palma Campania town (2016)
Metadata
Title
Application of a Statistical Approach to Landslide Susceptibility Map Generation in Urban Settings
Authors
Ciro Sepe
Pierluigi Confuorto
Anna Claudia Angrisani
Diego Di Martire
Mariano Di Napoli
Domenico Calcaterra
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-93124-1_19