Suitability of energy cone for probabilistic volcanic hazard assessment: validation tests at Somma-Vesuvius and Campi Flegrei (Italy)

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
Pablo Tierz ◽  
Laura Sandri ◽  
Antonio Costa ◽  
Lucia Zaccarelli ◽  
Mauro Antonio Di Vito ◽  
...  
2014 ◽  
Vol 2 (11) ◽  
pp. 7181-7196
Author(s):  
R. Tonini ◽  
L. Sandri ◽  
A. Costa ◽  
J. Selva

Abstract. Many volcanic systems are partially or entirely submerged, implying that vents may open underwater. The effect of submerged vents on probabilistic volcanic hazard assessment (PVHA) for tephra fallout has always been neglected, introducing potentially uncontrolled biases. We present a strategy to quantify the effect of submerged vents on PVHA for tephra fallout, based on a simplified empirical model where the efficiency of tephra production decreases as a function of the water depth above the eruptive vent. The method is then applied to Campi Flegrei caldera, comparing its results to those of two reference end-member models and their statistical mixing.


2004 ◽  
Vol 66 (6) ◽  
pp. 514-530 ◽  
Author(s):  
Giovanni Orsi ◽  
Mauro Antonio Di Vito ◽  
Roberto Isaia

2015 ◽  
Vol 15 (3) ◽  
pp. 409-415 ◽  
Author(s):  
R. Tonini ◽  
L. Sandri ◽  
A. Costa ◽  
J. Selva

Abstract. Many volcanic systems are partially or entirely submerged, implying that vents may open underwater. The effect of submerged vents on probabilistic volcanic hazard assessment (PVHA) for tephra fallout has always been neglected, introducing potentially uncontrolled biases. We present a strategy to quantify the effect of submerged vents on PVHA for tephra fallout, based on a simplified empirical model in which the efficiency of tephra production decreases as a function of the water depth above the eruptive vent. The method is then applied to Campi Flegrei caldera, comparing its results to those of two reference end-member models and their statistical mixing.


2006 ◽  
Vol 269 (1) ◽  
pp. 159-171 ◽  
Author(s):  
G. Mastrolorenzo ◽  
L. Pappalardo ◽  
C. Troise ◽  
S. Rossano ◽  
A. Panizza ◽  
...  

2021 ◽  
Author(s):  
Beatriz Martínez Montesinos ◽  
Manuel Titos ◽  
Laura Sandri ◽  
Sara Barsotti ◽  
Giovanni Macedonio ◽  
...  

<p>Campi Flegrei is an active volcano located in one of the most densely inhabited areas in Europe and under high-traffic air routes. There, the Vesuvius Observatory’s surveillance system, which continuously monitors volcanic seismicity, soil deformations and gas emissions, highlights some variations in the state of the volcanic activity. It is well known that fragmented magma injected into the atmosphere during an explosive volcanic eruption poses a threat to human lives and air-traffic. For this reason, powerful tools and computational resources to generate extensive and high-resolution hazard maps taking into account a wide spectrum of events, including those of low probability but high impact, are important to provide decision makers with quality information to develop short- and long- term emergency plans. To this end, in the framework of the Center of Excellence for Exascale in Solid Earth (ChEESE), we show the potential of HPC in Probabilistic Volcanic Hazard Assessment. On the one hand, using the ChEESE's flagship Fall3D numerical code and taking advance of the PRACE-awarded resources at CEA/TGCC-HPC facility in France, we perform thousands of simulations of tephra deposition and airborne ash concentration at different flight levels exploring the natural variability and uncertainty on the eruptive conditions on a 3D-grid covering a 2 km-resolution 2000 km x 2000 km computational domain. On the other hand, we create short- and long-term workflows, by updating current Bayesian-Event-Tree-Analysis-based prototype tools, to make them capable of analyze the large amount of information generated by the Fall3D simulations that finally gives rise to the hazard maps for Campi Flegrei.</p>


2011 ◽  
Vol 54 (5) ◽  
Author(s):  
Annamaria Vicari ◽  
Giuseppe Bilotta ◽  
Sergio Bonfiglio ◽  
Annalisa Cappello ◽  
Gaetana Ganci ◽  
...  

Author(s):  
Servando De la Cruz-Reyna ◽  
Ana Teresa Mendoza-Rosas

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