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  5. Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
 
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Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna

Author(s)
Freret-Lorgeril, Valentin  
Bonadonna, Costanza  
Corradini, Stefano  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Donnadieu, Franck  
Guerrieri, Lorenzo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Lacanna, Giorgio  
Marzano, Frank Silvio  
Mereu, Luigi  
Merucci, Luca  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Ripepe, Maurizio  
Scollo, Simona  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Stelitano, Dario  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Language
English
Obiettivo Specifico
3V. Proprietà chimico-fisiche dei magmi e dei prodotti vulcanici
Status
Published
JCR Journal
JCR Journal
Journal
Remote Sensing  
Issue/vol(year)
/13 (2021)
ISSN
2072-4292
Publisher
MDPI
Pages (printed)
2097
Date Issued
2021
DOI
10.3390/rs13112097
URI
https://www.earth-prints.org/handle/2122/14993
Abstract
Multi-sensor strategies are key to the real-time determination of eruptive source parameters (ESPs) of explosive eruptions necessary to forecast accurately both tephra dispersal and deposition. To explore the capacity of these strategies in various eruptive conditions, we analyze data acquired by two Doppler radars, ground- and satellite-based infrared sensors, one infrasound array, visible video-monitoring cameras as well as data from tephra-fallout deposits associated with a weak and a strong paroxysmal event at Mount Etna (Italy). We find that the different sensors provide complementary observations that should be critically analyzed and combined to provide comprehensive estimates of ESPs. First, all measurements of plume height agree during the strong paroxysmal activity considered, whereas some discrepancies are found for the weak paroxysm due to rapid plume and cloud dilution. Second, the event duration, key to convert the total erupted mass (TEM) in the mass eruption rate (MER) and vice versa, varies depending on the sensor used, providing information on different phases of the paroxysm (i.e., unsteady lava fountaining, lava fountain-fed tephra plume, waning phase associated with plume and cloud expansion in the atmosphere). As a result, TEM and MER derived from different sensors also correspond to the different phases of the paroxysms. Finally, satellite retrievals for grain-size can be combined with radar data to provide a first approximation of total grain-size distribution (TGSD) in near real-time. Such a TGSD shows a promising agreement with the TGSD derived from the combination of satellite data and whole deposit grain-size distribution (WDGSD).
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article
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Freret-Lorgeril_et_al_2021_Examples_of_Multi-sensor_Determination.pdf

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