During explosive eruptions, emergency responders and government agencies need to make fast decisions that should be based on an accurate forecast of tephra dispersal and assessment of the expected impact. Here, we propose a new operational tephra fallout monitoring and forecasting system based on quantitative volcanological observations and modelling. The new system runs at the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo (INGV-OE) and is able to provide a reliable hazard assessment to the National Department of Civil Protection (DPC) during explosive eruptions. The new operational system combines data from low-cost calibrated visible cameras and satellite images to estimate the variation of column height with time and model volcanic plume and fallout in near-real-time (NRT). The new system has three main objectives: (i) to determine column height in NRT using multiple sensors (calibrated cameras and satellite images); (ii) to compute isomass and isopleth maps of tephra deposits in NRT; (iii) to help the DPC to best select the eruption scenarios run daily by INGV-OE every three hours. A particular novel feature of the new system is the computation of an isopleth map, which helps to identify the region of sedimentation of large clasts (5 cm) that could cause injuries to tourists, hikers, guides, and scientists, as well as damage buildings in the proximity of the summit craters. The proposed system could be easily adapted to other volcano observatories worldwide.

Near-Real-Time Tephra Fallout Assessment at Mt. Etna, Italy / Simona Scollo, Michele Prestifilippo, Costanza Bonadonna, Raffaello Cioni, Stefano Corradini, Wim Degruyter, Eduardo Rossi, Malvina Silvestri, Emilio Biale, Giuseppe Carparelli, Carmelo Cassisi, Luca Merucci, Massimo Musacchio, Emilio Pecora. - In: REMOTE SENSING. - ISSN 2072-4292. - ELETTRONICO. - 11:(2019), pp. 1-18. [10.3390/rs11242987]

Near-Real-Time Tephra Fallout Assessment at Mt. Etna, Italy

Raffaello Cioni;
2019

Abstract

During explosive eruptions, emergency responders and government agencies need to make fast decisions that should be based on an accurate forecast of tephra dispersal and assessment of the expected impact. Here, we propose a new operational tephra fallout monitoring and forecasting system based on quantitative volcanological observations and modelling. The new system runs at the Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo (INGV-OE) and is able to provide a reliable hazard assessment to the National Department of Civil Protection (DPC) during explosive eruptions. The new operational system combines data from low-cost calibrated visible cameras and satellite images to estimate the variation of column height with time and model volcanic plume and fallout in near-real-time (NRT). The new system has three main objectives: (i) to determine column height in NRT using multiple sensors (calibrated cameras and satellite images); (ii) to compute isomass and isopleth maps of tephra deposits in NRT; (iii) to help the DPC to best select the eruption scenarios run daily by INGV-OE every three hours. A particular novel feature of the new system is the computation of an isopleth map, which helps to identify the region of sedimentation of large clasts (5 cm) that could cause injuries to tourists, hikers, guides, and scientists, as well as damage buildings in the proximity of the summit craters. The proposed system could be easily adapted to other volcano observatories worldwide.
2019
11
1
18
Simona Scollo, Michele Prestifilippo, Costanza Bonadonna, Raffaello Cioni, Stefano Corradini, Wim Degruyter, Eduardo Rossi, Malvina Silvestri, Emilio Biale, Giuseppe Carparelli, Carmelo Cassisi, Luca Merucci, Massimo Musacchio, Emilio Pecora
File in questo prodotto:
File Dimensione Formato  
remotesensing-11-02987.pdf

accesso aperto

Descrizione: articolo principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 1.67 MB
Formato Adobe PDF
1.67 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1180193
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 37
  • ???jsp.display-item.citation.isi??? 29
social impact