Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/14993
Authors: Freret-Lorgeril, Valentin* 
Bonadonna, Costanza* 
Corradini, Stefano* 
Donnadieu, Franck* 
Guerrieri, Lorenzo* 
Lacanna, Giorgio* 
Marzano, Frank Silvio* 
Mereu, Luigi* 
Merucci, Luca* 
Ripepe, Maurizio* 
Scollo, Simona* 
Stelitano, Dario* 
Title: Examples of Multi-Sensor Determination of Eruptive Source Parameters of Explosive Events at Mount Etna
Journal: Remote Sensing 
Series/Report no.: /13 (2021)
Publisher: MDPI
Issue Date: 2021
DOI: 10.3390/rs13112097
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).
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat
Freret-Lorgeril_et_al_2021_Examples_of_Multi-sensor_Determination.pdfOpen Access published article4.39 MBAdobe PDFView/Open
Show full item record

Page view(s)

284
checked on Apr 27, 2024

Download(s)

10
checked on Apr 27, 2024

Google ScholarTM

Check

Altmetric