Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission
Volcanic emissions are a well-known hazard that can have serious impacts on local populations and aviation operations. Whereas several remote sensing observations detect high-intensity explosive eruptions, few studies focus on low intensity and long-lasting volcanic emissions. In this work, we have...
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ftmdpi:oai:mdpi.com:/2072-4292/12/23/3866/ 2023-08-20T03:59:11+02:00 Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission Simona Scollo Antonella Boselli Stefano Corradini Giuseppe Leto Lorenzo Guerrieri Luca Merucci Michele Prestifilippo Ricardo Zanmar Sanchez Alessia Sannino Dario Stelitano agris 2020-11-25 application/pdf https://doi.org/10.3390/rs12233866 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing Image Processing https://dx.doi.org/10.3390/rs12233866 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 23; Pages: 3866 volcanic aerosol visible calibrated camera Lidar satellite photometer data Etna Text 2020 ftmdpi https://doi.org/10.3390/rs12233866 2023-08-01T00:31:54Z Volcanic emissions are a well-known hazard that can have serious impacts on local populations and aviation operations. Whereas several remote sensing observations detect high-intensity explosive eruptions, few studies focus on low intensity and long-lasting volcanic emissions. In this work, we have managed to fully characterize those events by analyzing the volcanic plume produced on the last day of the 2018 Christmas eruption at Mt. Etna, in Italy. We combined data from a visible calibrated camera, a multi-wavelength elastic/Raman Lidar system, from SEVIRI (EUMETSAT-MSG) and MODIS (NASA-Terra/Aqua) satellites and, for the first time, data from an automatic sun-photometer of the aerosol robotic network (AERONET). Results show that the volcanic plume height, ranging between 4.5 and 6 km at the source, decreased by about 0.5 km after 25 km. Moreover, the volcanic plume was detectable by the satellites up to a distance of about 400 km and contained very fine particles with a mean effective radius of about 7 µm. In some time intervals, volcanic ash mass concentration values were around the aviation safety thresholds of 2 × 10−3 g m−3. Of note, Lidar observations show two main stratifications of about 0.25 km, which were not observed at the volcanic source. The presence of the double stratification could have important implications on satellite retrievals, which usually consider only one plume layer. This work gives new details on the main features of volcanic plumes produced during low intensity and long-lasting volcanic plume emissions. Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 12 23 3866 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
volcanic aerosol visible calibrated camera Lidar satellite photometer data Etna |
spellingShingle |
volcanic aerosol visible calibrated camera Lidar satellite photometer data Etna Simona Scollo Antonella Boselli Stefano Corradini Giuseppe Leto Lorenzo Guerrieri Luca Merucci Michele Prestifilippo Ricardo Zanmar Sanchez Alessia Sannino Dario Stelitano Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
topic_facet |
volcanic aerosol visible calibrated camera Lidar satellite photometer data Etna |
description |
Volcanic emissions are a well-known hazard that can have serious impacts on local populations and aviation operations. Whereas several remote sensing observations detect high-intensity explosive eruptions, few studies focus on low intensity and long-lasting volcanic emissions. In this work, we have managed to fully characterize those events by analyzing the volcanic plume produced on the last day of the 2018 Christmas eruption at Mt. Etna, in Italy. We combined data from a visible calibrated camera, a multi-wavelength elastic/Raman Lidar system, from SEVIRI (EUMETSAT-MSG) and MODIS (NASA-Terra/Aqua) satellites and, for the first time, data from an automatic sun-photometer of the aerosol robotic network (AERONET). Results show that the volcanic plume height, ranging between 4.5 and 6 km at the source, decreased by about 0.5 km after 25 km. Moreover, the volcanic plume was detectable by the satellites up to a distance of about 400 km and contained very fine particles with a mean effective radius of about 7 µm. In some time intervals, volcanic ash mass concentration values were around the aviation safety thresholds of 2 × 10−3 g m−3. Of note, Lidar observations show two main stratifications of about 0.25 km, which were not observed at the volcanic source. The presence of the double stratification could have important implications on satellite retrievals, which usually consider only one plume layer. This work gives new details on the main features of volcanic plumes produced during low intensity and long-lasting volcanic plume emissions. |
format |
Text |
author |
Simona Scollo Antonella Boselli Stefano Corradini Giuseppe Leto Lorenzo Guerrieri Luca Merucci Michele Prestifilippo Ricardo Zanmar Sanchez Alessia Sannino Dario Stelitano |
author_facet |
Simona Scollo Antonella Boselli Stefano Corradini Giuseppe Leto Lorenzo Guerrieri Luca Merucci Michele Prestifilippo Ricardo Zanmar Sanchez Alessia Sannino Dario Stelitano |
author_sort |
Simona Scollo |
title |
Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
title_short |
Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
title_full |
Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
title_fullStr |
Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
title_full_unstemmed |
Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission |
title_sort |
multi-sensor analysis of a weak and long-lasting volcanic plume emission |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12233866 |
op_coverage |
agris |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; Volume 12; Issue 23; Pages: 3866 |
op_relation |
Remote Sensing Image Processing https://dx.doi.org/10.3390/rs12233866 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12233866 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
23 |
container_start_page |
3866 |
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1774719565223165952 |