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Magma pathway and its structural controls of Asama Volcano, Japan

By
Yosuke Aoki
Yosuke Aoki
1
Earthquake Research Institute, University of Tokyo, 1-1 Yayoi 1, Bunkyo-ku, Tokyo 113-0032, Japan
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Minoru Takeo
Minoru Takeo
1
Earthquake Research Institute, University of Tokyo, 1-1 Yayoi 1, Bunkyo-ku, Tokyo 113-0032, Japan
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Takao Ohminato
Takao Ohminato
1
Earthquake Research Institute, University of Tokyo, 1-1 Yayoi 1, Bunkyo-ku, Tokyo 113-0032, Japan
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Yutaka Nagaoka
Yutaka Nagaoka
1
Earthquake Research Institute, University of Tokyo, 1-1 Yayoi 1, Bunkyo-ku, Tokyo 113-0032, Japan
2
Present address: Japan Meteorological Agency, 3–4 Otemachi 1, Chiyoda-ku, Tokyo 110-8122, Japan
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Kiwamu Nishida
Kiwamu Nishida
1
Earthquake Research Institute, University of Tokyo, 1-1 Yayoi 1, Bunkyo-ku, Tokyo 113-0032, Japan
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Published:
January 01, 2013

Abstract

Asama Volcano, Japan, is one of the most active volcanoes in the Japanese islands. Recent development of geophysical monitoring in Asama Volcano allows us to infer the magma pathway and its structural controls beneath the volcano. Combining geodetic data and precise earthquake locations during recent eruptions suggests that the magma intrudes several kilometres to the west of the summit to a depth of about 1 km below sea level as a nearly east–west-trending dyke. The vertically intruded magma then moves horizontally by several kilometres to beneath the summit before it ascends vertically to make the surface. Combining the P-wave velocity and the resistivity structure shows that the intrusions are under structural controls. Frozen and fractureless magma associated with volcanic activity until 24 000 years ago impedes the ascent of rising magma on its way to the surface. The S-wave velocity structure inferred from ambient noise tomography reveals a low-velocity body beneath the modelled dyke. From independent information, we have inferred that this low-velocity body is likely to be a magma chamber.

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Geological Society, London, Special Publications

Remote Sensing of Volcanoes and Volcanic Processes: Integrating Observation and Modelling

D. M. Pyle
D. M. Pyle
University of Oxford, UK
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T. A. Mather
T. A. Mather
University of Oxford, UK
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J. Biggs
J. Biggs
University of Bristol, UK
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Geological Society of London
Volume
380
ISBN electronic:
9781862396456
Publication date:
January 01, 2013

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