The “CO2-rich gas vents” of Mt. Amiata volcano (Tuscany, Central Italy): Geochemistry, genetic mechanism and hazard evaluation

2006 ◽  
Vol 25 (S1) ◽  
pp. 70-71
Author(s):  
Franco Tassi ◽  
Orlando Vaselli ◽  
Elena Lognoli ◽  
Fabrizio Cuccoli ◽  
Barbara Nisi ◽  
...  
Author(s):  
D Spallarossa ◽  
M Cattaneo ◽  
D Scafidi ◽  
M Michele ◽  
L Chiaraluce ◽  
...  

Summary The 2016–17 central Italy earthquake sequence began with the first mainshock near the town of Amatrice on August 24 (MW 6.0), and was followed by two subsequent large events near Visso on October 26 (MW 5.9) and Norcia on October 30 (MW 6.5), plus a cluster of 4 events with MW > 5.0 within few hours on January 18, 2017. The affected area had been monitored before the sequence started by the permanent Italian National Seismic Network (RSNC), and was enhanced during the sequence by temporary stations deployed by the National Institute of Geophysics and Volcanology and the British Geological Survey. By the middle of September, there was a dense network of 155 stations, with a mean separation in the epicentral area of 6–10 km, comparable to the most likely earthquake depth range in the region. This network configuration was kept stable for an entire year, producing 2.5 TB of continuous waveform recordings. Here we describe how this data was used to develop a large and comprehensive earthquake catalogue using the Complete Automatic Seismic Processor (CASP) procedure. This procedure detected more than 450,000 events in the year following the first mainshock, and determined their phase arrival times through an advanced picker engine (RSNI-Picker2), producing a set of about 7 million P- and 10 million S-wave arrival times. These were then used to locate the events using a non-linear location (NLL) algorithm, a 1D velocity model calibrated for the area, and station corrections and then to compute their local magnitudes (ML). The procedure was validated by comparison of the derived data for phase picks and earthquake parameters with a handpicked reference catalogue (hereinafter referred to as ‘RefCat’). The automated procedure takes less than 12 hours on an Intel Core-i7 workstation to analyse the primary waveform data and to detect and locate 3000 events on the most seismically active day of the sequence. This proves the concept that the CASP algorithm can provide effectively real-time data for input into daily operational earthquake forecasts, The results show that there have been significant improvements compared to RefCat obtained in the same period using manual phase picks. The number of detected and located events is higher (from 84,401 to 450,000), the magnitude of completeness is lower (from ML 1.4 to 0.6), and also the number of phase picks is greater with an average number of 72 picked arrival for a ML = 1.4 compared with 30 phases for RefCat using manual phase picking. These propagate into formal uncertainties of ± 0.9km in epicentral location and ± 1.5km in depth for the enhanced catalogue for the vast majority of the events. Together, these provide a significant improvement in the resolution of fine structures such as local planar structures and clusters, in particular the identification of shallow events occurring in parts of the crust previously thought to be inactive. The lower completeness magnitude provides a rich data set for development and testing of analysis techniques of seismic sequences evolution, including real-time, operational monitoring of b-value, time-dependent hazard evaluation and aftershock forecasting.


Geomorphology ◽  
1999 ◽  
Vol 31 (1-4) ◽  
pp. 181-216 ◽  
Author(s):  
Fausto Guzzetti ◽  
Alberto Carrara ◽  
Mauro Cardinali ◽  
Paola Reichenbach

1993 ◽  
Vol 36 (1) ◽  
Author(s):  
F. Brunamonte ◽  
A. M. Michetti ◽  
L. Serva ◽  
E. Vittori

2019 ◽  
Vol 8 (2) ◽  
pp. 91
Author(s):  
Mauro De Donatis ◽  
Giulio Pappafico ◽  
Roberto Romeo

The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake Induced slope FAiLures) method was applied to the survey of post-earthquake landslides in central Italy for seismic microzonation purposes. In order to optimize time and resources, while also reducing errors, the paper-based method of survey data sheets was translated into digital formats using such instruments as Tablet PCs, GPS and open source software (QGIS). To the base mapping consisting of Technical Regional Map (Carta Tecnica Regionale—CTRs) at the scale of 1:10,000, layers were added with such sensitive information as the Inventory of Landslide Phenomena in Italy (Inventario dei Fenomeni Franosi in Italia—IFFI), for example. A database was designed and implemented in the SQLite/SpatiaLite Relational DataBase Management System (RDBMS) to store data related to such elements as landslides, rock masses, discontinuities and covers (as provided by PARSIFAL). To facilitate capture of the datum on the ground, data entry forms were created with Qt Designer. In addition to this, the employment of some QGIS plug-ins, developed for digital surveying and enabling of quick annotations on the map and the import of images from external cameras, was found to be of considerable use.


1998 ◽  
Vol 41 (4) ◽  
Author(s):  
A. Tertulliani ◽  
S. Del Mese ◽  
R. Di Giovambattista ◽  
M. Pirro

The paper presented originates from the recovery of an unpublished document that reports estimated damage in the city of Palestrina (Central Italy) following the 1844 earthquake. This document is not quoted in the sources and repertoires concerning earthquakes in the Palestrina area, and it has probably never before been used in studies for seismic hazard evaluation. Analysis of the document has allowed us to state the distribution and severity of damage due to the seismic event, assessing an intensity of VII MCS for Palestrina. Comparison with other coeval documents evidenced a possible lack of information with respect to the dwellings of the less well-to-do population, granting the hypothesis of a more serious damage level. The distribution of effects within the town centre of Palestrina has been compared with the surficial geology, evidencing a strong dependence of the seismic response on the local geomorphology. Such results are also confirmed by a similar damage pattern following the 1876 earthquake, and allow us to outline a realistic view of Palestrina's seismic vulnerability.


Agronomie ◽  
2001 ◽  
Vol 21 (3) ◽  
pp. 267-276
Author(s):  
Daniela Businelli ◽  
Enrico Tombesi ◽  
Marco Trevisan

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