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

Kazuya Yamakawa; Mie Ichihara; Kyoka Ishii; Hiroshi Aoyama; Takeshi Nishimura; Maurizio Ripepe

doi:10.1029/2018GL078851

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

Kazuya Yamakawa, Mie Ichihara, Kyoka Ishii, Hiroshi Aoyama, Takeshi Nishimura, Maurizio Ripepe

SCI - Geophysics

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

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^∘. 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.

Original language	English
Pages (from-to)	8931-8938
Number of pages	8
Journal	Geophysical Research Letters
Volume	45
Issue number	17
DOIs	https://doi.org/10.1029/2018GL078851
Publication status	Published - 2018 Sept 16

Keywords

MUSIC algorithm
array
infrasound
monitoring
small aperture
volcano

ASJC Scopus subject areas

Geophysics
Earth and Planetary Sciences(all)

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10.1029/2018GL078851

Cite this

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

abstract = "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∘. 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.",

keywords = "MUSIC algorithm, array, infrasound, monitoring, small aperture, volcano",

author = "Kazuya Yamakawa and Mie Ichihara and Kyoka Ishii and Hiroshi Aoyama and Takeshi Nishimura and Maurizio Ripepe",

note = "Funding Information: The authors thank Dr Satoshi Matsumoto and Dr Hisayoshi Shimizu for helpful advice and constructive comments. We appreciate two anonymous reviewers and Editor Rebecca Carey for their suggestions to improve the manuscript. The field experiment was conducted on the field course of the Next Generation Volcano Researcher Development Program, supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT). This study was supported by the Joint Usage Program of the Earthquake Research Institute, University of Tokyo (2016B03) and MEXT (KAKENHI, 15K13561). The infrasound data are available through the Joint Usage Program of the Earthquake Research Institute. Publisher Copyright: {\textcopyright}2018. American Geophysical Union. All Rights Reserved.",

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AU - Yamakawa, Kazuya

AU - Ichihara, Mie

AU - Ishii, Kyoka

AU - Aoyama, Hiroshi

AU - Nishimura, Takeshi

AU - Ripepe, Maurizio

N1 - Funding Information: The authors thank Dr Satoshi Matsumoto and Dr Hisayoshi Shimizu for helpful advice and constructive comments. We appreciate two anonymous reviewers and Editor Rebecca Carey for their suggestions to improve the manuscript. The field experiment was conducted on the field course of the Next Generation Volcano Researcher Development Program, supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT). This study was supported by the Joint Usage Program of the Earthquake Research Institute, University of Tokyo (2016B03) and MEXT (KAKENHI, 15K13561). The infrasound data are available through the Joint Usage Program of the Earthquake Research Institute. Publisher Copyright: ©2018. American Geophysical Union. All Rights Reserved.

PY - 2018/9/16

Y1 - 2018/9/16

N2 - 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∘. 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.

AB - 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∘. 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.

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

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