The ground-based InSAR monitoring system at Stromboli volcano: linking changes in displacement rate and intensity of persistent volcanic activity

Traglia, Federico Di; Intrieri, Emanuele; Nolesini, Teresa; Bardi, Federica; Ventisette, Chiara Del; Ferrigno, Federica; Sara, Frangioni; Frodella, William; Gigli, Giovanni; Lotti, Alessia; Stefanelli, Carlo Tacconi; Tanteri, Luca; Leva, D.; Casagli, Nicola

doi:10.1007/s00445-013-0786-2

Cited by 49 publications

(43 citation statements)

References 61 publications

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“…In order to provide information on the nature, extent, and activation frequency of ancient landslides, standard detection, and mapping procedures need a combination of field-based studies and advanced techniques, such as remote sensing data analysis and geophysi- cal investigations (Ciampalini et al, 2015;Lotti et al, 2015;Del Soldato et al, 2016;Morelli et al, 2017;Pazzi et al, 2017a, b). In this context GB-InSAR represents a versatile and flexible technology, allowing for rapid changes in the type of data acquisition (geometry and temporal sampling) based on the characteristics of the monitored slope failure, which is capable of assessing the extent and the magnitude of the landslide residual hazard (Di Traglia et al, 2014a, b, 2015Carlà et al, 2016). In the presented case study the 2-year continuous GB-InSAR monitoring campaign made it possible to measure the slope displacement with millimetric accuracy over a 1.2 km square landslide area, enabling the analyses of the evolution pattern connected to the landslide residual hazard.…”

Section: Discussionmentioning

confidence: 99%

“…Ground-based interferometric synthetic aperture radar (GB-InSAR) systems in particular, for their ability to measure displacements with high geometric accuracy, temporal sampling frequency, and adaptability to specific applications ( Monserrat et al, 2014), represent powerful devices successfully employed in (a) engineering and geological applications for detecting structural deformation and surface ground displacements (Tarchi et al, 1997(Tarchi et al, , 2003Antonello et al, 2004;Casagli et al, 2010Casagli et al, , 2017a, (b) monitoring of volcanic activity (Nolesini et al, 2013;Di Traglia et al, 2014a), and (c) stability analysis of historical towns built on isolated hilltops (Luzi et al, 2004;Frodella et al, 2016;Nolesini et al, 2016). Furthermore, in recent years the GB-InSAR technique has developed to an extent where it can significantly contribute to the management of major technical and environmental disasters (Del Ventisette et al, 2011;Broussolle et al, 2014;Lombardi et al, 2017;Bardi et al, 2017a, b).…”

Section: Introductionmentioning

confidence: 99%

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GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Frodella

Salvatici

Pazzi

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Diffuse and severe slope instabilities affected the whole Veneto region (north-eastern Italy) between 31 October and 2 November 2010, following a period of heavy and persistent rainfall. In this context, on 4 November 2010 a large detrital mass detached from the cover of the Mt. Rotolon deep-seated gravitational slope deformation (DSGSD), located in the upper Agno River valley, channelizing within the Rotolon Creek riverbed and evolving into a highly mobile debris flow. The latter phenomena damaged many hydraulic works, also threatening bridges, local roads, and the residents of the Maltaure, Turcati, and Parlati villages located along the creek banks and the town of Recoaro Terme. From the beginning of the emergency phase, the civil protection system was activated, involving the National Civil Protection Department, Veneto Region, and local administrations' personnel and technicians, as well as scientific institutions. On 8 December 2010 a local-scale monitoring system, based on a ground-based interferometric synthetic aperture radar (GBInSAR), was implemented in order to evaluate the slope deformation pattern evolution in correspondence of the debris flow detachment sector, with the final aim of assessing the landslide residual risk and managing the emergency phase. This paper describes the results of a 2-year GB-InSAR monitoring campaign (December 2010-December 2012) and its application for monitoring, mapping, and emergency management activities in order to provide a rapid and easy communication of the results to the involved technicians and civil protection personnel, for a better understanding of the landslide phenomena and the decision-making process in a critical landslide scenario.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Frodella

Salvatici

Pazzi

et al. 2017

Nat. Hazards Earth Syst. Sci.

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“…At the onset of the 1985, 2002-2003, 2007 and 2014 flank eruptions, gravel/debris slides evolved in dry gravel/debris flows along the SdF following the opening of eruptive fissures on the NE flank of the summit cone (De Fino et al 1988;Calvari et al 2005Calvari et al , 2010Carlà et al 2016). During the 2012-2013 high-intensity strombolian activity, overflows occurred and were often associated with the sliding of the NEC craterrim (Di Traglia et al 2014b;Calvari et al 2016). During the 2002-2003 flank eruption, a rock rotational slide (25-30 × 10 6 m 3 ) occurred (Bonaccorso et al 2003).…”

Section: Geological Settingmentioning

confidence: 99%

Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study

et al. 2017

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Susceptibility of intrusion-related landslides in an active volcano was evaluated coupling the landslide susceptibility estimation by random forest (RF), and the probabilistic volcanic vent opening distribution, as proxy for magma injection, using the QVAST tool. In order to develop and test the method proposed here, the RF/QVAST approach was adopted for Stromboli volcano (Southern Italy) since it experienced moderate to huge instability events, it is geomorphologically prone to instability events, and it is affected by active intense volcanic activity that can produce slope instability. The main destabilizing factors of the volcanic flanks are the slope, the aspect, the terrain roughness, the land cover and the litho-technical features of the outcropping rocks. Estimation of volcanic susceptibility shows that the areas with high probability of new vent opening are located in the north-western unstable volcano flank (Sciara del Fuoco), in the volcano summit and the north-eastern volcano flank coherent with the possible reactivation of the eruptive fissures related to the regional tectonic setting. The areas with higher probability of intrusion-related landslides are located in the upper part of the Sciara del Fuoco, while the rest of the island show moderate to low probability of intrusion-related landslide occurrence.

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“…Time series data were synthesized to daily displacement values spanning from January 1, 2010, to August 7, 2014. Data from Di Traglia et al ( , 2014aTraglia et al ( , b, c, 2015 revealed that remarkable inflation of the crater terrace area occurred in three different periods ( Similarly, three periods of volcanic unrest were defined by several authors based on the observation of intense volcanic activity (Coppola et al 2012;Calvari et al 2014;Di Traglia et al 2014a, b, c, 2015Rizzo et al 2015;Calvari et al 2016):…”

Section: The Gbinsar Systemmentioning

confidence: 99%

“…GBInSAR is an efficient technique for capturing inflation in open vent volcanoes like Stromboli, because it can detect very shallow magma storage, which is difficult to identify using other methods (Casagli et al 2007;Di Traglia et al 2013, 2014a, b, c, 2015. A ground-based radar permits the user to choose the optimal instrument location for measurements (Wadge et al 2008(Wadge et al , 2014, providing also an exceptional geometrical resolution and allowing for continuous monitoring of the displacements with a very high sampling rate (up to 1 min; Di Traglia et al 2014a), if compared to space-borne InSAR data (up to 4 days; Pinel et al 2014). Daily displacements acquired by the GBInSAR between January 1, 2010, and August 7, 2014, were analyzed in order to define the periods of anomalous deformation of the summit crater terrace.…”

Section: Introductionmentioning

confidence: 99%

A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series

2016

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The evaluation of the intensity of unrest phases at active volcanoes is a crucial topic in volcano hazard studies. This is particularly troublesome in the case of persistently active volcanoes like Stromboli (Southern Italy), where intense eruptive summit activity (overflows, strong spattering, powerful explosions) has in some cases anticipated a flank eruption. In this context, a new approach for the analysis of displacement data is introduced. Daily displacements of the Stromboli crater terrace measured between January 1, 2010, and August 7, 2014, by a ground-based interferometric synthetic aperture radar system were compared, in retrospect, to displacement predictions provided by an autoregressive integrated moving average-based model. The methodology consisted in assessing when the actual displacements exceeded a fixed probability threshold for the forecasts (*95 %). Two sets of data were consequently produced: (1) series of residuals between actual displacements and model threshold (''anomalies'') and (2) series of normalized residuals between actual displacements and model threshold (''normalized anomalies''). This permitted to statistically identify and quantify the anomalous deformation at the crater terrace over the reference time interval of the analysis. Anomalies started to occur before each period of intense volcanic activity, highlighting the possibility to discern between background activity and unrest. Moreover, results indicated that the inflation of the crater terrace during the preparatory phase of the 2014 flank eruption was characterized by the greatest amount of anomalous deformation.

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The ground-based InSAR monitoring system at Stromboli volcano: linking changes in displacement rate and intensity of persistent volcanic activity

Cited by 49 publications

References 61 publications

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

GB-InSAR monitoring of slope deformations in a mountainous area affected by debris flow events

Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study

A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series

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