The identification and quantitative study of important geological discontinuities, like those related to large landslides constitutes a paramount problem, which claims for a careful, detailed and, if possible, quantitatively based geomorphologic analysis. Numerical geomorphic analyses represent an interesting approach to these studies, allowing for a detailed and pretty accurate identification of hidden topographic anomalies that may be related to large landslides or other hidden geological structures. Geomorphic numerical analyses herein presented, are performed on the digital elevation model, based on the 2D discrete wavelet transform. This analysis is applied to a case study related to the middle-south Apennine at the front of the Apennine, whereas a really large deep-seated large landslide has been previously identified on the base of different geomorphic analysis. Finally, the analysis emphasizes some peculiar aspect of the buried front of the Apennine, which can potentially bias the landslide.

Quantitative geomorphological analysis based on wavelet transforms / Doglioni, Angelo; Simeone, Vincenzo. - STAMPA. - (2013), pp. 257-266. [10.1007/978-3-642-31325-7_34]

Quantitative geomorphological analysis based on wavelet transforms

Angelo Doglioni;Vincenzo Simeone
2013-01-01

Abstract

The identification and quantitative study of important geological discontinuities, like those related to large landslides constitutes a paramount problem, which claims for a careful, detailed and, if possible, quantitatively based geomorphologic analysis. Numerical geomorphic analyses represent an interesting approach to these studies, allowing for a detailed and pretty accurate identification of hidden topographic anomalies that may be related to large landslides or other hidden geological structures. Geomorphic numerical analyses herein presented, are performed on the digital elevation model, based on the 2D discrete wavelet transform. This analysis is applied to a case study related to the middle-south Apennine at the front of the Apennine, whereas a really large deep-seated large landslide has been previously identified on the base of different geomorphic analysis. Finally, the analysis emphasizes some peculiar aspect of the buried front of the Apennine, which can potentially bias the landslide.
2013
Landslide Science and Practice. Volume 1: Landslide Inventory and Susceptibility and Hazard Zoning
978-3-642-31324-0
Springer
Quantitative geomorphological analysis based on wavelet transforms / Doglioni, Angelo; Simeone, Vincenzo. - STAMPA. - (2013), pp. 257-266. [10.1007/978-3-642-31325-7_34]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/13465
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