scholarly journals Volcanic unrest at Taupo¯macr volcano in 2019: Causes, mechanisms and implications

Author(s):  
Finnigan Illsley‐Kemp ◽  
Simon J. Barker ◽  
Colin J. N. Wilson ◽  
Calum J. Chamberlain ◽  
Sigrún Hreinsdóttir ◽  
...  
Keyword(s):  
2005 ◽  
Vol 39 (5) ◽  
pp. 459-467 ◽  
Author(s):  
A. Caracausi ◽  
M. Ditta ◽  
F. Italiano ◽  
M. Longo ◽  
P. M. Nuccio ◽  
...  
Keyword(s):  

2021 ◽  
pp. M55-2018-56
Author(s):  
A. Geyer ◽  
D. Pedrazzi ◽  
J. Almendros ◽  
M. Berrocoso ◽  
J. López-Martínez ◽  
...  

AbstractDeception Island (South Shetland Islands) is one of the most active volcanoes in Antarctica, with more than 15 explosive eruptive events registered over the past two centuries. Recent eruptions (1967, 1969 and 1970) and volcanic unrest episodes in 1992, 1999 and 2014–15 demonstrate that the occurrence of future volcanic activity is a valid and pressing concern for scientists, logistic personnel and tourists that are visiting or are working on or near the island. Over the last few decades, intense research activity has been carried out on Deception Island to decipher the origin and evolution of this very complex volcano. To that end, a solid integration of related scientific disciplines, such as tectonics, petrology, geochemistry, geophysics, geomorphology, remote sensing, glaciology, is required. A proper understanding of the island's evolution in the past, and its present state, is essential for improving the efficiency in interpreting monitoring data recorded during volcanic unrest periods and, hence, for future eruption forecasting. In this chapter, we briefly present Deception Island's most relevant tectonic, geomorphological, volcanological and magmatic features, as well as the results obtained from decades of monitoring the island's seismic activity and ground deformation.


2015 ◽  
Vol 77 (9) ◽  
Author(s):  
Sally H. Potter ◽  
Bradley J Scott ◽  
Gill E Jolly ◽  
Vince E Neall ◽  
David M Johnston
Keyword(s):  

2014 ◽  
Vol 119 (6) ◽  
pp. 5033-5051 ◽  
Author(s):  
S. Sainz-Maza Aparicio ◽  
J. Arnoso Sampedro ◽  
F. Gonzalez Montesinos ◽  
J. Martí Molist

2015 ◽  
Vol 304 ◽  
pp. 11-23 ◽  
Author(s):  
Simona Sicali ◽  
Graziella Barberi ◽  
Ornella Cocina ◽  
Carla Musumeci ◽  
Domenico Patanè
Keyword(s):  

Author(s):  
Alia Jasim ◽  
Brioch Hemmings ◽  
Klaus Mayer ◽  
Bettina Scheu

2021 ◽  
Author(s):  
Binayak Ghosh ◽  
Mahdi Motagh ◽  
Mahmud Haghshenas Haghshenas ◽  
Thomas Walter

<p>Over the years, various satellites like ERS-1, ERS-2 and Envisat has been in use for the interferometric capability for a wide range of geophysical and environmental applications. With the launches of Sentinel-1A and 1B satellites in 2014 and 2016 respectively, the availability of SAR data from every part of the world has been increased many folds. With short revisit times of 1-6 days, the Sentinel-1 and the planned Tandem-Land NISAR missions provide an unprecedented wealth of topography and surface change data using InSAR technique. Utilizing these Synthetic Aperture Radar (SAR) acquisitions, repeated approximately from the same point in space at different times, it is possible to produce measurements of ground deformations at some of the world’s active volcanoes and can be used to detect signs of volcanic unrest. Most of the existing traditional algorithms like Permanent Scatterer (PS) analysis and Small Baseline Subset (SBAS) technique are computationally extensive and cannot be applied in near real time to detect  precursory deformation and transient deformations. To overcome this problem, we have adapted a minimum spanning tree (MST) based spatial independent component analysis (ICA) method to automatically detect deformation signals of volcanic unrest. We utilize the algorithm’s capability to isolate signals of geophysical interest from atmospheric artifacts, topography and other noise signals, before monitoring the evolution of these signals through time in order to detect the onset of a period of volcanic unrest, in near real time. We demonstrate our approach on synthetic datasets having different signal strengths, varying temporally. We also present the results of our approach on the volcanic unrest of Mt. Thorbjörn in Iceland on 2020 and also the volcanic unrest of a volcano in Mexico from 2017 to 2019.</p>


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