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Long-range correlations identified in time-series of volcano seismicity during dome-forming eruptions using detrended fluctuation analysis

Abstract:
Understanding the underlying structure of data from volcano monitoring is essential to identify precursors to changes in eruptive activity and to comprehend volcanic processes. However, effective analysis of longer-term trends in these signals is challenging as volcanic data are not necessarily statistically stationary or linear, particularly those from lava dome-forming volcanoes, which are commonly characterised by pulsatory eruptive activity. Here, we use detrended fluctuation analysis (DFA), a statistical technique previously applied to nonstationary data, to identify long-range (slowly decaying, e.g. power-law) correlations in a number of time-series of volcano seismicity recorded during the recent dome-forming eruptions of Volcán de Colima, Mexico, and Soufrière Hills Volcano, Montserrat. For all the time-series analysed, correlation strength varies through time and/or on different timescales; in some cases, this variation is periodic, seasonal, and/or related to activity. These results may provide new insights into eruptive processes and possibly further constrain the generation mechanisms of a number of the volcano-seismic event classes analysed. Furthermore, the correlation properties of real-time seismic measurements are shown (retrospectively) to contain information valuable to real-time volcano monitoring that is not identifiable by conventional analysis techniques. This study therefore demonstrates that long-range correlation analysis may be useful for extracting additional information from monitoring data at dome-forming or similar volcanoes. © 2013 Elsevier B.V.
Publication status:
Published

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Publisher copy:
10.1016/j.jvolgeores.2013.07.009

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Earth Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Earth Sciences
Role:
Author


Journal:
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH More from this journal
Volume:
264
Pages:
197-209
Publication date:
2013-08-15
DOI:
ISSN:
0377-0273


Language:
English
Keywords:
Pubs id:
pubs:430090
UUID:
uuid:189bafe9-bec3-4f12-a847-14f61558bc2a
Local pid:
pubs:430090
Source identifiers:
430090
Deposit date:
2013-11-17
ARK identifier:

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