Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82851
Title: Real-time assessment of potential seismic migration within a monitoring network using Red-flag SARA
Authors: Tan, Chiou Ting
Taisne, Benoît
Neuberg, Jurgen
Ahmad Basuki
Keywords: Magma Migration
Real-time Monitoring
Science::Geology
Issue Date: 2019
Source: Tan, C. T., Taisne, B., Neuberg, J., & Ahmad Basuki. (2019). Real-time assessment of potential seismic migration within a monitoring network using Red-flag SARA. Journal of Volcanology and Geothermal Research, 384, 31-47. doi:10.1016/j.jvolgeores.2019.07.004
Series/Report no.: Journal of Volcanology and Geothermal Research
Abstract: Magma opening new fluid pathways through the crust can generate migrating seismic sources following the trail of the magma. By using Seismic Amplitude Ratio Analysis (SARA), it is possible to detect this seismic migration simply from the amplitudes of continuous data recorded at different stations in a network, without having to do any picking of seismic phases. In this study, we present a modified method – Red-flag SARA, which adapts SARA for real-time monitoring. Red-flag SARA provides a quantitative tool to analyse amplitude ratios between stations in a network and detect temporal changes in these ratios. Since such changes imply seismic source location variations, Red-flag SARA is a handy tool during seismic crises to quickly answer the question of whether seismic activity, and therefore magma, is migrating or not. We tested Red-flag SARA on synthetic data and validated it using real data from two volcanoes – Piton de la Fournaise, Reunion Island, and Gede, Indonesia, for three scenarios: 1) magma migration ending as intrusion, 2) migration leading to eruption and 3) a burst of seismicity with no magma migration.
URI: https://hdl.handle.net/10356/82851
http://hdl.handle.net/10220/49742
ISSN: 0377-0273
DOI: 10.1016/j.jvolgeores.2019.07.004
Schools: Asian School of the Environment 
Research Centres: Earth Observatory of Singapore 
Rights: © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles
EOS Journal Articles

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