Azimuth Estimations From a Small Aperture Infrasonic Array: Test Observations at Stromboli Volcano, Italy

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  • Kazuya Yamakawa
    Earthquake Research Institute University of Tokyo Tokyo Japan
  • Mie Ichihara
    Earthquake Research Institute University of Tokyo Tokyo Japan
  • Kyoka Ishii
    Department of Geophysics, Graduate School of Science Kyoto University Kyoto Japan
  • Hiroshi Aoyama
    Institute of Seismology and Volcanology, Faculty of Science Hokkaido University Sapporo Japan
  • Takeshi Nishimura
    Department of Geophysics, Graduate School of Science Tohoku University Sendai Japan
  • Maurizio Ripepe
    Dipartimento di Scienze della Terra Università di Firenze Florence Italy

書誌事項

公開日
2018-09-06
資源種別
journal article
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1029/2018gl078851
公開者
American Geophysical Union (AGU)

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説明

<jats:title>Abstract</jats:title><jats:p>We tested the performance of an infrasonic array consisting of three microphones with a 20‐m aperture at Stromboli volcano, Italy. There were four active vents separated by ∼10<jats:sup>∘</jats:sup>. We employed multiple signal classification (MUSIC) to estimate direction of arrival (DOA) of the detected signals. Using test signals of which the source vents were identified by visual observation, the resolution of DOA estimation of MUSIC is compared with those of Capon beamforming, grid search, and semblance. We confirmed that MUSIC and grid search gave better resolution of DOA than the other two methods. Also, MUSIC provided the best resolutions in time and frequency. It was shown that the DOA switched between different vents or fluctuated in short time scales and can vary with frequency, which indicate multiple active sources. Possible DOA estimation errors were evaluated. A small aperture infrasonic array combined with MUSIC will become a powerful tool for studying and monitoring active volcanoes.</jats:p>

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