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| Titel |
Further analysis of the 2008 Chaiten eruption torward early warning method for volcanic activity using microwave radiometer |
| VerfasserIn |
Takashi Maeda, Tadashi Takano |
| Konferenz |
EGU General Assembly 2011
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 13 (2011) |
| Datensatznummer |
250057027
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| Zusammenfassung |
| We have investigated an analysis method to detect local and faint changes from the data of
microwave radiometer. Our investigation stemmed from laboratory experiments which
confirmed that rocks emit microwave energy when fractured. This analysis method was
originally developed to detect microwave signals generated by rock failures in association
with an earthquake. Using our analysis method, we have already detected characteristic
microwave signals emitted from the land surface in association with some large earthquakes.
We believe that these detection cases strongly indicate that our analysis method has
the capability to detect local and faint microwave signals emitted from the land
surface.
We expect that our analysis method can detect volcanic themal anomalies as well
because thermal anomalies on volcanoes should be reflected in microwave signals.
Additionally, considering the advantage that microwave radiometer is less affected by
clouds, anomalies of land surface temperatures (LST) around a volcano before
eruption is likely to be detected. Therefore, we modified our analysis method for
volcanic monitoring, and applied it to a volcanic eruption case of Chaiten, Chile in
2008.
As a result, it was detected that microwave energy was emitted from the ground surface
around the volcano from several months before the eruption. We consider that these
microwave signals was caused by the increase of LST due to the volcanic activity, and it was
presented at the EGU General Assembly 2010 (Abstract ID: 11394). We keep verifying the
obtained analysis results, and further analysis results reinforces our conviction that our
analysis method is applicable to monitor volcanic activity. This paper presents these further
analysis results. |
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