Morphotectonic analysis of the Lunigiana and Garfagnana grabens (northern Apennines, Italy): Implications for active normal faulting

Naccio, Deborah Di; Boncio, Paolo; Brozzetti, Francesco; Pazzaglia, Frank J.; Lavecchia, Giusy

doi:10.1016/j.geomorph.2013.07.003

Cited by 35 publications

(54 citation statements)

References 39 publications

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“…1), characterized by a dominant right-lateral strike-slip mechanism, as reported in previous works (Brozzetti et al, 2007;Di Naccio et al, 2013). Our results however provide further insight into the fault geometry and kinematics.…”

Section: Discussionsupporting

confidence: 85%

“…Historical seismicity from CPTI 11 catalogue (Rovida et al, 2011). kinematics. Some authors (Brozzetti et al, 2007 andDi Naccio et al, 2013) interpret this structure as a presently active transfer fault between the Lunigiana and the southern Garfagnana extensional graben.…”

Section: Contents Lists Available At Sciencedirectmentioning

confidence: 98%

“…Elter et al, 1975). The study area is also characterized by active faulting along right-lateral strike-slip fault zones (Brozzetti et al, 2007;Di Naccio et al, 2013). At a larger scale the Lunigiana and Garfagnana graben are located in the western portion of the Northern Apennines, characterized by a NW-SE oriented system of extensional structures that crosscut and dissect the older compressive structures of the chain (e.g.…”

Section: Introductionmentioning

confidence: 99%

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The 2013 Lunigiana (Central Italy) earthquake: Seismic source analysis from DInSAR and seismological data, and geodynamical implications for the northern Apennines

et al. 2014

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Section: Discussionsupporting

confidence: 85%

Section: Contents Lists Available At Sciencedirectmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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The 2013 Lunigiana (Central Italy) earthquake: Seismic source analysis from DInSAR and seismological data, and geodynamical implications for the northern Apennines

et al. 2014

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“…Avanzi et al (2013) studied the fragility of the territory by analysing the damage that occurred in two heavy rainfall events in 2009 and 2010 (in this latter paper the study area was slightly larger than that one here under examination). From a geological point of view, following Di Naccio et al (2013), the Northern Apennines are a NW-SE-trending belt formed by NE-verging tectonic units stacked since the late Oligocene after the collision of the Corsica-Sardinia and Adria continental blocks. The main tectonic units are (i) the Liguride allochthon, (ii) the Subligurian unit and (iii) the Tuscan unit (for a comprehensive synthesis and review see Argnani et al, 2003, and references therein).…”

Section: Study Case 25 October 2011mentioning

confidence: 99%

“…2.1.1 for Lunigiana. For an extensive and deeper analysis see Di Naccio et al (2013) and references therein.…”

Section: Study Case 18 March 2013mentioning

confidence: 99%

Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions: preliminary results

Capecchi

Perna

Crisci

2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Our study is aimed at estimating the added value provided by Numerical Weather Prediction (NWP) data for the modelling and prediction of rainfall-induced shallow landslides. We implemented a quantitative indirect statistical modelling of such phenomena by using, as input predictors, both geomorphological, geological, climatological information and numerical data obtained by running a limitedarea weather model. Two standard statistical techniques are used to combine the predictor variables: a generalized linear model and Breiman's random forests. We tested these models for two rainfall events that occurred in 2011 and 2013 in Tuscany region (central Italy). Modelling results are compared with field data and the forecasting skill is evaluated by mean of sensitivity-specificity receiver operating characteristic (ROC) analysis. In the 2011 rainfall event, the random forests technique performs slightly better than generalized linear model with area under the ROC curve (AUC) values around 0.91 vs. 0.84. In the 2013 rainfall event, both models provide AUC values around 0.7.Using the variable importance output provided by the random forests algorithm, we assess the added value carried by numerical weather forecast. The main results are as follows: (i) for the rainfall event that occurred in 2011 most of the NWP data, and in particular hourly rainfall intensities, are classified as "important" and (ii) for the rainfall event that occurred in 2013 only NWP soil moisture data in the first centimetres below ground is found to be relevant for landslide assessment. In the discussions we argue how these results are connected to the type of precipitation observed in the two events.

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Coseismic Stress and Strain Field Changes Investigation Through 3‐D Finite Element Modeling of DInSAR and GPS Measurements and Geological/Seismological Data: The L'Aquila (Italy) 2009 Earthquake Case Study

et al. 2018

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We investigate the L'Aquila 2009 earthquake (AQE, Mw 6.3, Italy) through a 3‐D Finite Element (FE) mechanical model based on the exploitation of ENVISAT DInSAR and GPS measurements and an independently generated fault model. The proposed approach mainly consists of (a) the generation of a 3‐D fault model of the active structures involved in the sequence and those neighboring to them, benefiting of a large geological and seismological data set; (b) the implementation of the generated 3‐D fault model in a FE environment, by exploiting the elastic dislocation theory and considering the curved fault geometry and the crustal heterogeneities information; and (c) the optimization of the seismogenic crustal blocks model parameters in order to reproduce the geodetic measurements. We show that our modeling approach allows us to well reproduce the coseismic surface displacements, including their significant asymmetric pattern, as shown by the very good fit between the modeled ground deformations and the geodetic measurements. Moreover, a comparative analysis between our FE model results and those obtained by considering a classical analytical (Okada) model, for both the surface displacements and the Coulomb stress changes, has been performed. Our model permits to investigate the coseismic stress and strain field changes relevant to the investigated volume and their relationships with the surrounding geological structures; moreover, it highlights the very good correlation with the seismicity spatial distribution. The retrieved stress field changes show different maxima: (a) at few kilometers depth, within the main event surface rupture zone; (b) at depths of 5–9 km in correspondence of main event hypocentral area, along the SW dipping Paganica Fault System (PFS); and (c) at depths of 12–14 km, in correspondence of the largest aftershock hypocentral area, along a steep segment of an underlying east dipping basal detachment. Moreover, the main event hypocenter is localized in a region of high‐gradient strain field changes, while a deeper volumetric dilatation lobe involves the largest aftershock zone. From these findings, we argue that the AQE hanging wall downward movement along the steep portion of PFS might have been modulated by the underlying basal detachment; on the other hand, the coseismic eastward motion of the PFS footwall might have triggered further slip on the OS, thus releasing the largest aftershock on an independent source. The retrieved stress and strain field changes, which support the active role of the OS, have been also validated through a comparative analysis with those obtained from independent geological, seismological, and GPS measurements.

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Morphotectonic analysis of the Lunigiana and Garfagnana grabens (northern Apennines, Italy): Implications for active normal faulting

Cited by 35 publications

References 39 publications

The 2013 Lunigiana (Central Italy) earthquake: Seismic source analysis from DInSAR and seismological data, and geodynamical implications for the northern Apennines

The 2013 Lunigiana (Central Italy) earthquake: Seismic source analysis from DInSAR and seismological data, and geodynamical implications for the northern Apennines

Statistical modelling of rainfall-induced shallow landsliding using static predictors and numerical weather predictions: preliminary results

Coseismic Stress and Strain Field Changes Investigation Through 3‐D Finite Element Modeling of DInSAR and GPS Measurements and Geological/Seismological Data: The L'Aquila (Italy) 2009 Earthquake Case Study

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