An integrated approach to earthquake-induced landslide hazard zoning based on probabilistic seismic scenario for Phlegrean Islands (Ischia, Procida and Vivara), Italy

Caccavale, Mauro; Matano, Fabio; Sacchi, Marco

doi:10.1016/j.geomorph.2017.07.010

Cited by 35 publications

(33 citation statements)

References 56 publications

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“…Furthermore, coseismic displacements are located on an area along the northern flank of Mt. Epomeo which is characterized by high earthquake-induced landslide susceptibility [6,19] and has been already affected by catastrophic earthquake-induced landslides in the past [3] (Figure 1 and Supplementary Figure S1). Such observations suggest that non-tectonic displacements caused by earthquake-induced shallow landslides are not negligible and must be opportunely identified, modeled and analyzed to improve any source inversion procedure.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we applied a procedure to identify areas affected by slope instabilities triggered by the 2017 Ischia earthquake. The method is based on previously published works using a simplified Newmark analysis [19,20] which allows estimation of the landslide spatial extent and the associated probability of failure at a regional scale. The identified areas are then compared with coseismic ground displacements, retrieved from the processing of Sentinel-1 SAR data, to analyze the contribution of tectonic and non-tectonic phenomena to the observed ground displacements.…”

Section: Introductionmentioning

confidence: 99%

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The Relationship between InSAR Coseismic Deformation and Earthquake-Induced Landslides Associated with the 2017 Mw 3.9 Ischia (Italy) Earthquake

et al. 2018

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We investigated the contribution of earthquake-induced surface movements to the ground displacements detected through Interferometric Synthetic Aperture Radar (InSAR) data, after the M w 3.9 Ischia earthquake on 21 August 2017. A permanent displacement approach, based on the limit equilibrium method, allowed estimation of the spatial extent of the earthquake-induced landslides and the associated probability of failure. The proposed procedure identified critical areas potentially affected by slope movements partially overlapping the coseismic ground displacement retrieved by InSAR data. Therefore, the observed ground displacement field is the combination of both fault slip and surficial sliding caused by the seismic shaking. These findings highlight the need to perform preliminary calculations to account for the non-tectonic contributions to ground displacements before any estimation of the earthquake source geometry and kinematics. Such information is fundamental to avoid both the incorrect definition of the source geometry and the possible overestimation of the coseismic slip over the causative fault. Moreover, knowledge of the areas potentially affected by slope movements could contribute to better management of a seismic emergency, especially in areas exposed to high seismic and hydrogeological risks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Relationship between InSAR Coseismic Deformation and Earthquake-Induced Landslides Associated with the 2017 Mw 3.9 Ischia (Italy) Earthquake

et al. 2018

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“…The Gulf of Naples is one of the areas of the Eastern Tyrrhenian margin with the highest natural hazard, being characterized by active seismicity [1,2], natural and human-induced environmental pollution (e.g., [3,4]), coastal and marine slides [5,6], and tsunami [7]. The higher potential hazard factors in this area are in close relation with the emergence of volcanic complexes (Figure 1), such as Ischia and Procida Islands, Phlegrean Fields, and Somma-Vesuvius, as well as with the occurrence of several other submarine volcanic centers.…”

Section: Introductionmentioning

confidence: 99%

Fluid Vents, Flank Instability, and Seafloor Processes along the Submarine Slopes of the Somma-Vesuvius Volcano, Eastern Tyrrhenian Margin

et al. 2018

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Abstract:We report the geomorphological features of the continental shelf of the Gulf of Naples along the submarine slopes of the Somma-Vesuvius volcanic complex. This area is characterized by seafloor morphologies that are related to mantle degassing. Significant phenomena associated with this process occur. Doming of the seafloor has been detected in the area of Banco della Montagna, whereas a hole-like morphology has formed at Bocca dei Pescatori, likely as a result of a phreatic explosion. Outcropping or partially submerged volcanic bodies are also present as well as two main debris avalanche deposits arising from the main Somma-Vesuvius edifice. A large area characterized by an overall concave external profile and a global sediment wave morphology covers most of the southwestern area of the volcano.

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“…An important subject is the assessment of the stability or performance of the slope under seismic conditions, whereby the existing analytical methods can be classified into three different categories (Tropeano et al 2017). Furthermore, the Newmark model and related empirical predictive models have been frequently used for earthquakeinduced slope displacement simulation and landslide hazard assessment at a regional scale (Wilson and Keefer 1983;Jibson 1993;Miles and Ho 1999;Paruelo et al 2004;Sayg and Rathje 2008;Wang et al 2011;Pareek et al 2014;Borfecchia et al 2016;Chousianitis et al 2016;Du and Wang 2016;Caccavale et al 2017;Shinoda and Miyata 2017). Landslide susceptibility assessment can assess the spatial distribution of potential landslides in an area, and provide valuable assistance for hazards mitigation.…”

Section: Introductionmentioning

confidence: 99%

Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China

Xie

Wen

et al. 2018

Geomatics, Natural Hazards and Risk

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The main objective of this study is to evaluate the performances of different earthquake-induced landslides susceptibility mapping models at mountainous regions in China. At first, 160 earthquake-induced landslide points were identified from field investigations. Concurrently, based on the results of a literature review and the field investigation, 12 influencing factors were considered, and the corresponding thematic layers were generated using geographic information system (GIS) technology. Subsequently, 20 groups with a fixed number of cells were collected as a common training dataset for the two different models, based on a random selection from the entire database (including landslide cells and no-landslide cells). The neural network (NN) model and logistic regression (LR) model were developed with R software. Finally, earthquake-induced landslides susceptibility maps of Wenchuan county were produced, very low, low, medium, high and very high susceptibility zones cover. The validation results indicate that the landslide data from field investigations are in good agreement with the evaluation results, and the LR model has a slightly better prediction than the NN model in this case. In general, the NN model and LR models are satisfactory for susceptibility mapping of earthquake-induced landslides at mountainous regions.

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An integrated approach to earthquake-induced landslide hazard zoning based on probabilistic seismic scenario for Phlegrean Islands (Ischia, Procida and Vivara), Italy

Cited by 35 publications

References 56 publications

The Relationship between InSAR Coseismic Deformation and Earthquake-Induced Landslides Associated with the 2017 Mw 3.9 Ischia (Italy) Earthquake

The Relationship between InSAR Coseismic Deformation and Earthquake-Induced Landslides Associated with the 2017 Mw 3.9 Ischia (Italy) Earthquake

Fluid Vents, Flank Instability, and Seafloor Processes along the Submarine Slopes of the Somma-Vesuvius Volcano, Eastern Tyrrhenian Margin

Application and comparison of logistic regression model and neural network model in earthquake-induced landslides susceptibility mapping at mountainous region, China

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