Forecasting Methods for Landslides Interacting with Infrastructures

Bozzano, Francesca; Cipriani, Ivan; Martino, Salvatore; Prestininzi, Alberto

doi:10.1007/978-3-642-31319-6_34

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…In order to get additional information about the cliff proneness to failure we experimentally performed short-term monitoring by GBInSAR and TLS remote-sensing techniques. GBInSAR (also referred to as TInSAR) has been extensively used since the early 2000s for the monitoring of landslides (among others, Pieraccini et al, 2002;Tarchi et al, 2003;Antonello et al, 2004;Noferini et al, 2005;Bozzano et al, 2010Bozzano et al, , 2011Crosetto et al, 2013;Bozzano et al, 2013Bozzano et al, , 2014. However, instead of the numerous studies on landslides, few applications of GBInSAR to the monitoring of landslides in coastal areas exist (Intrieri, 2013 andreferences therein, Hermanns et al, 2013 andreferences therein) and even less to the analysis of rock cliffs (Mazzanti and Brunetti, 2010).…”

Section: Gbinsar and Irt Surveymentioning

confidence: 99%

Analysis of sea cliff slope stability integrating traditional geomechanical surveys and remote sensing

Martino¹

2013

Preprint

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Abstract. An integrated approach to the geomechanical characterization of coastal sea cliffs was demonstrated at Mt. Pucci (Gargano promontory, Southern Italy) by performing direct traditional geomechanical and remote geostructural investigations via Terrestrial Laser Scanner (TLS). The consistency of the integrated techniques allowed us to achieve a comprehensive and affordable characterization of the main joint sets on the sea cliff slope. The observed joint sets were observed to evaluate the susceptibility of the slope to rock falls by attributing safety factors (SFs) to the topple- and wedge-prone rock blocks under three triggering conditions: (a) filling with static water, (b) seismic action, and (c) weathering of joint surfaces. The results of the susceptibility analysis for the topple-prone blocks show that the critical height of water filling of the joint is up to 50 cm and that the critical pseudo-static acceleration values vary in the range of 0.16–0.3 g depending on the block geometry and slope face orientation. For the wedge blocks, the critical height of water filling of the joint is generally up to several centimeters, and the critical pseudo-static acceleration values vary in the range of 0.05–0.8 g depending on the block geometry and slope face orientation. Moreover, the unstable conditions of the blocks due to weathering generally represent 60% of the joint degradation of the intact rock. The combined action of weathering and static water fill was also considered, resulting in a significant decrease of the SFs. Specifically, unstable conditions are associated with water levels lower than 47% of the water levels observed in intact joints, even if less than 60% of the weathering is attributed to the joints. Furthermore, remote survey analyses via Thermal InfraRed Camera and Terrestrial SAR Interferometry (TInSAR) were performed to evaluate the role of the surveyed joint sets in inducing instabilities in the Mt. Pucci sea cliff. The results of this study can be summarized as follows: (i) 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; and (ii) TInSAR monitoring revealed permanent displacements greater than 1 mm, and cyclic daily displacements of up to 1.2 mm were detected in certain sectors and were attributed to thermal variation of the rock mass.

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Section: Gbinsar and Irt Surveymentioning

confidence: 99%

Analysis of sea cliff slope stability integrating traditional geomechanical surveys and remote sensing

Martino¹

2013

Preprint

View full text Add to dashboard Cite

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“…GBInSAR (also referred to as TInSAR) has been extensively used since the early 2000s for the monitoring of landslides (among others, Pieraccini et al, 2002;Tarchi et al, 2003;Antonello et al, 2004;Noferini et al, 2005;Bozzano et al, 2010Bozzano et al, , 2011Crosetto et al, 2013;Bozzano et al, 2013Bozzano et al, , 2014. However, instead of the numerous studies on landslides, few applications of GBInSAR to the monitoring of landslides in coastal areas exist (Intrieri, 2013 and references therein, Hermanns et al, 2013 and references therein) and even less to the analysis of rock cliffs (Mazzanti and Brunetti, 2010).…”

Section: Gbinsar and Irt Surveymentioning

confidence: 99%

Integrating geomechanical surveys and remote sensing for sea cliff slope stability analysis: the Mt. Pucci case study (Italy)

Martino

Mazzanti

2014

Nat. Hazards Earth Syst. Sci.

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Abstract. An integrated approach to the geomechanical characterization of coastal sea cliffs was applied at Mt. Pucci (Gargano promontory, Southern Italy) by performing fieldbased 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 toppleand 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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Forecasting Methods for Landslides Interacting with Infrastructures

Cited by 2 publications

References 7 publications

Analysis of sea cliff slope stability integrating traditional geomechanical surveys and remote sensing

Analysis of sea cliff slope stability integrating traditional geomechanical surveys and remote sensing

Integrating geomechanical surveys and remote sensing for sea cliff slope stability analysis: the Mt. Pucci case study (Italy)

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