Integrating geomechanical surveys and remote sensing for sea cliff slope stability analysis: the Mt. Pucci case study (Italy)
An integrated approach to the geomechanical characterization of coastal sea cliffs was applied at Mt. Pucci (Gargano promontory, Southern Italy) by performing field-based geomechanical investigations and remote geostructural investigations via a terrestrial laser scanner (TLS). The consistency of th...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-04-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/14/831/2014/nhess-14-831-2014.pdf |
Summary: | An integrated approach to the
geomechanical characterization of coastal sea cliffs was applied at Mt. Pucci
(Gargano promontory, Southern Italy) by performing field-based geomechanical
investigations and remote geostructural investigations via a terrestrial
laser scanner (TLS). The consistency of the integrated techniques allowed
to achieve a comprehensive and affordable characterization of the main joint
sets on the sea cliff slope. The observed joint sets were considered to
evaluate the proneness of the slope to rock failures by attributing safety
factor (SF) values to the topple- and wedge-prone rock blocks under three
combined or independent triggering conditions: (a) hydrostatic water
pressures within the joints, (b) seismic action, and (c) strength reduction
due to weathering of the joint surfaces. The combined action of weathering
and water pressures within the joints was also considered, resulting in a
significant decrease in the stability. Furthermore, remote survey analyses
via InfraRed Thermography (IRT) and Ground Based Synthetic Aperture Radar
Interferometry (GBInSAR) were performed to evaluate the role of the surveyed
joint sets in inducing instabilities in the Mt. Pucci sea cliff. The results
from the remote surveys: (i) GBInSAR monitoring revealed permanent
displacements coupled to cyclic daily displacements, these last ones detected
in certain sectors of the cliff wall; (ii) the thermal images allowed us to
identify anomalies that correspond well to the main joints and to the slope
material released due to recent collapses. |
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ISSN: | 1561-8633 1684-9981 |