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Measurement of Surface Deformation Related to the December 2018 Mt. Etna Eruption Using Time-Series Interferometry and Magma Modeling for Hazard Zone Mapping
Mount Etna has erupted several times since it was first formed. Recently, Mount Etna began erupting again over 24–27 December 2018. Because it erupts frequently, Mount Etna should be observed on a frequent basis. From June 2018 to October 2019, 34 and 56 interferometric synthetic aperture radar (InSAR) images were acquired from the ascending and descending tracks of the Sentinel-1 satellite, respectively. We employed the Stanford Method for Persistent Scatterers (StaMPS) and a refined small baseline subset (SBAS) InSAR method to produce a surface deformation time-series map. In the time-series analysis, the phase signal remained unaltered with time. The Okada model was then applied to the result to generate a modeled interferogram, and the Q-LavHA program was run to generate a lava flow prediction model. A direct comparison of the results showed that Persistent Scatterers Interferometry (PSI)-StaMPS and the refined SBAS technique were comparable in terms of the displacement pattern, with slightly different velocity values obtained for individual points. In particular, a velocity range of −25 to 21 cm/yr was obtained from PSI-StaMPS, whereas a range of −30 to 25 cm/yr was obtained from the refined SBAS method. Upon computation of the vertical and east-west displacement components based on ascending and descending track data using both methods, deformation velocities of 51.5 and 52.5 cm/yr in the westerly direction on the western flank of Mount Etna were obtained from PSI-StaMPS and the refined SBAS method, respectively, whereas on the eastern flank, deformation toward the east was estimated to occur at a velocity of 50.1 or 54.2 cm/yr, respectively. PSIStaMPS estimated a vertical deformation velocity of −5.3 to 18.3 cm/yr, whereas the refined SBAS method produced a velocity range of approximately −7 to 19 cm/yr. The interferogram obtained via Okada modeling showed two fault sources in the 2018 Mount Etna eruption and a total volume change of approximately 12.39 × 106 m3. From the modeling results, a lava flow prediction model was generated using the Q-LavHA program. The approaches described in this study can be used by government officials, authorities, and other decision-makers to monitor and assess the risk of volcanic activity in the region.
Document ID
20230003023
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Suci Ramayanti
(Kangwon National University Chuncheon, South Korea)
Arief R Achmad
(Kangwon National University Chuncheon, South Korea)
Hahn Chul Jung
(Korea Institute of Ocean Science and Technology Ansan-si, South Korea)
Minjeong Jo
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Sang-Wan Kim
(Sejong University Seoul, South Korea)
Yu-Chul Park
(Kangwon National University Chuncheon, South Korea)
Chang-Wook Lee
(Kangwon National University Chuncheon, South Korea)
Date Acquired
March 6, 2023
Publication Date
October 17, 2022
Publication Information
Publication: Geosciences Journal
Publisher: Springer
Volume: 26
Issue: 6
Issue Publication Date: December 1, 2022
ISSN: 1226-4806
e-ISSN: 1598-7477
Subject Category
Geosciences (General)
Funding Number(s)
CONTRACT_GRANT: 80NSSC22M0001
CONTRACT_GRANT: PE22900
CONTRACT_GRANT: 2019R1A6A1A03033167
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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