Landslide Hazard Assessment in a Monoclinal Setting (Central Italy): Numerical vs. Geomorphological Approach
Marco Materazzi,
Margherita Bufalini,
Matteo Gentilucci,
Gilberto Pambianchi,
Domenico Aringoli and
Piero Farabollini
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Marco Materazzi: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Margherita Bufalini: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Matteo Gentilucci: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Gilberto Pambianchi: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Domenico Aringoli: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Piero Farabollini: Geology Division, School of Sciences and Technology, University of Camerino, 62032 Camerino, Italy
Land, 2021, vol. 10, issue 6, 1-22
Abstract:
A correct landslide hazard assessment (LHA) is fundamental for any purpose of territorial planning. In Italy, the methods currently in use to achieve this objective alternate between those based on mainly qualitative (geomorphological) and quantitative (statistical–numerical) approaches. The present study contributes to the evaluation of the best procedure to be implemented for LHA, comparing the results obtained using two different approaches (geomorphological and numerical) in a territorial context characterized by conditioning and triggering factors, favorable to the instability of the slopes. The results obtained, although preliminary, evidence the respective limitations of the methods and demonstrate how a combined approach can certainly provide mutual advantages, by addressing the choice of the best numerical model through direct observations and surveys.
Keywords: landslides; factor of safety; numerical models; Hoek–Brown method; monoclinal setting (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:6:p:624-:d:573249
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