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Anticipating abrupt shifts in temporal evolution of probability of eruption
- Source :
- Journal of Volcanology and Geothermal Research, Journal of Volcanology and Geothermal Research, Elsevier, 2016, 316, pp.50-55. ⟨10.1016/j.jvolgeores.2016.02.016⟩, EGU General Assembly 2016, EGU General Assembly 2016, Apr 2016, Vienne, Austria. pp.EGU2016-4534, 2016
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; Estimating the probability of eruption by jointly accounting for different sources of monitoring parameters overtime is a key component for volcano risk management. In the present study, we are interested in the transition froma state of low-to-moderate probability value and to the one of high probability value: the latter value generallysupports the call for evacuation. By using the data of MESIMEX exercise at the Vesuvius volcano, we investigatedthe potential for time-varying indicators related to the correlation structure or to the variability of the probabilitytime series for detecting in advance this critical transition. We found that changes in the power spectra and inthe standard deviation estimated over a rolling time window both present an abrupt increase, which marks theapproaching shift. Our numerical experiments revealed that the transition from an eruption probability of 10-15%to >70% could be identified up 3 hours in advance. This additional lead time could be useful to place different keyservices (e.g., emergency services for vulnerable groups, commandeering additional transportation means, etc.) ona higher level of alert before the actual call for evacuation.
- Subjects :
- 010504 meteorology & atmospheric sciences
Meteorology
010502 geochemistry & geophysics
01 natural sciences
Standard deviation
Geochemistry and Petrology
Time windows
Statistics
Early-warning signals
[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanology
[SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology
Risk management
0105 earth and related environmental sciences
Series (stratigraphy)
geography
[STAT.AP]Statistics [stat]/Applications [stat.AP]
geography.geographical_feature_category
business.industry
Uncertainty
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[STAT]Statistics [stat]
Geophysics
Critical transition
Volcano
13. Climate action
Forecast
business
Value (mathematics)
Lead time
Geology
Volcanic risk
Subjects
Details
- Language :
- English
- ISSN :
- 03770273
- Database :
- OpenAIRE
- Journal :
- Journal of Volcanology and Geothermal Research, Journal of Volcanology and Geothermal Research, Elsevier, 2016, 316, pp.50-55. ⟨10.1016/j.jvolgeores.2016.02.016⟩, EGU General Assembly 2016, EGU General Assembly 2016, Apr 2016, Vienne, Austria. pp.EGU2016-4534, 2016
- Accession number :
- edsair.doi.dedup.....7ddba6ddce86e194a5cf70e71d6a1765
- Full Text :
- https://doi.org/10.1016/j.jvolgeores.2016.02.016⟩