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Tephra Mass Eruption Rate From Ground-Based X-Band and L-Band Microwave Radars During the November 23, 2013, Etna Paroxysm.

Authors :
Marzano, Frank S.
Mereu, Luigi
Scollo, Simona
Donnadieu, Franck
Bonadonna, Costanza
Source :
IEEE Transactions on Geoscience & Remote Sensing. May2020, Vol. 58 Issue 5, p3314-3327. 14p.
Publication Year :
2020

Abstract

The morning of November 23, 2013, a lava fountain formed from the New South-East Crater (NSEC) of Mt. Etna (Italy), one of the most active volcanoes in Europe. The explosive activity was observed from two ground-based radars, the X-band polarimetric scanning and the L-band Doppler fixed-pointing, as well as from a thermal-infrared camera. Taking advantage of the capability of the microwave radars to probe the volcanic plume and extending the volcanic ash radar retrieval (VARR) methodology, we estimate the mass eruption rate (MER) using three main techniques, namely surface-flux approach (SFA), mass continuity-based approach (MCA), and top-plume approach (TPA), as well as provide a quantitative evaluation of their uncertainty. Estimated exit velocities are between 160 and 230 m/s in the paroxysmal phase. The intercomparison between the SFA, MCA, and TPA methods, in terms of retrieved MER, shows a fairly good consistency with values up to 2.4 × 106 kg/s. The estimated total erupted mass (TEM) is 3.8 × 109, 3.9 × 109, and 4.7 × 109 kg for SFA with L-band, X-band, and thermal-infrared camera, respectively. Estimated TEM is between 1.7 × 109 kg and 4.3 × 109 for TPA methods and 3.9 ×109 kg for the MCA technique. The SFA, MCA, and TPA results for TEM are in fairly good agreement with independent evaluations derived from ground collection of tephra deposit and estimated to be between 1.3 ± 1.1 × 109 and 5.7 × 109 kg. This article shows that complementary strategies of ground-based remote sensing systems can provide an accurate real-time monitoring of a volcanic explosive activity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
58
Issue :
5
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
143857874
Full Text :
https://doi.org/10.1109/TGRS.2019.2953167