Academic Journal
Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis.
| Τίτλος: | Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis. |
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| Συγγραφείς: | Dairoh, Sudarmaji, Ashari, Ahmad, Suryanto, Wiwit |
| Πηγή: | Trends in Sciences; Apr2026, Vol. 23 Issue 4, p1-20, 20p |
| Θεματικοί όροι: | Beamforming, Seismic arrays, Seismic waves, Volcanic activity prediction, Volcanoes, Detectors, Seismic wave studies |
| Γεωγραφικοί όροι: | Merapi Volcano (Java, Indonesia) |
| Περίληψη: | Effective volcano monitoring is crucial for hazard mitigation and early warning systems. This study presents a monitoring system for Merapi Volcano using 5 remote seismic stations equipped with low-cost Raspberry Shake and Boom sensors, aiming to offer an affordable alternative to conventional local monitoring networks. The objective was to evaluate the capability of the UGM (Universitas Gadjah Mada) Antenna Station Array (UAA) to detect and classify tectonic and volcanic seismic activity. The system has been operational since July 2023; however, data from only 16 August to 12 September 2023 were analysed because of initial calibration challenges affecting data reliability, mainly due to environmental and power-related factors. This study presents a pilot-scale demonstration of a low-cost remote seismic array deployed at the Merapi Volcano. Using STA/LTA detection, beamforming, and FK analysis, 376 events were identified within a 28-day dataset (August 16 - September 12, 2023). Although the short temporal coverage prevents robust statistical analysis of long-term volcanic behaviour, the results highlight the feasibility of classifying volcanic versus tectonic events from a distance of 16 km. The limitations include suboptimal array geometry, environmental calibration challenges, and a relatively high false alarm rate, underscoring the need for extended monitoring campaigns, multimodal validation, and improved signal classification. Preliminary classification was performed through comparative spectral and directional analyses. Despite the short monitoring window, results indicate the potential for focused shortterm deployment to capture representative seismic behaviour during periods of increased activity. However, the limited duration does not preclude long-term trend analysis, and longer monitoring is needed to identify seasonal patterns and early signs of eruption. These findings demonstrate the potential of low-cost arrays as complementary monitoring tools in resource-limited volcanic regions, particularly for redundancy in national early warning systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Trends in Sciences is the property of Walailak Journal of Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 191649891 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.75964355469 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dairoh%22">Dairoh</searchLink><br /><searchLink fieldCode="AR" term="%22Sudarmaji%22">Sudarmaji</searchLink><br /><searchLink fieldCode="AR" term="%22Ashari%2C+Ahmad%22">Ashari, Ahmad</searchLink><br /><searchLink fieldCode="AR" term="%22Suryanto%2C+Wiwit%22">Suryanto, Wiwit</searchLink> – Name: TitleSource Label: Source Group: Src Data: Trends in Sciences; Apr2026, Vol. 23 Issue 4, p1-20, 20p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+arrays%22">Seismic arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+waves%22">Seismic waves</searchLink><br /><searchLink fieldCode="DE" term="%22Volcanic+activity+prediction%22">Volcanic activity prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Volcanoes%22">Volcanoes</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+wave+studies%22">Seismic wave studies</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Merapi+Volcano+%28Java%2C+Indonesia%29%22">Merapi Volcano (Java, Indonesia)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Effective volcano monitoring is crucial for hazard mitigation and early warning systems. This study presents a monitoring system for Merapi Volcano using 5 remote seismic stations equipped with low-cost Raspberry Shake and Boom sensors, aiming to offer an affordable alternative to conventional local monitoring networks. The objective was to evaluate the capability of the UGM (Universitas Gadjah Mada) Antenna Station Array (UAA) to detect and classify tectonic and volcanic seismic activity. The system has been operational since July 2023; however, data from only 16 August to 12 September 2023 were analysed because of initial calibration challenges affecting data reliability, mainly due to environmental and power-related factors. This study presents a pilot-scale demonstration of a low-cost remote seismic array deployed at the Merapi Volcano. Using STA/LTA detection, beamforming, and FK analysis, 376 events were identified within a 28-day dataset (August 16 - September 12, 2023). Although the short temporal coverage prevents robust statistical analysis of long-term volcanic behaviour, the results highlight the feasibility of classifying volcanic versus tectonic events from a distance of 16 km. The limitations include suboptimal array geometry, environmental calibration challenges, and a relatively high false alarm rate, underscoring the need for extended monitoring campaigns, multimodal validation, and improved signal classification. Preliminary classification was performed through comparative spectral and directional analyses. Despite the short monitoring window, results indicate the potential for focused shortterm deployment to capture representative seismic behaviour during periods of increased activity. However, the limited duration does not preclude long-term trend analysis, and longer monitoring is needed to identify seasonal patterns and early signs of eruption. These findings demonstrate the potential of low-cost arrays as complementary monitoring tools in resource-limited volcanic regions, particularly for redundancy in national early warning systems. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Trends in Sciences is the property of Walailak Journal of Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48048/tis.2026.11419 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Merapi Volcano (Java, Indonesia) Type: general – SubjectFull: Beamforming Type: general – SubjectFull: Seismic arrays Type: general – SubjectFull: Seismic waves Type: general – SubjectFull: Volcanic activity prediction Type: general – SubjectFull: Volcanoes Type: general – SubjectFull: Detectors Type: general – SubjectFull: Seismic wave studies Type: general Titles: – TitleFull: Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dairoh – PersonEntity: Name: NameFull: Sudarmaji – PersonEntity: Name: NameFull: Ashari, Ahmad – PersonEntity: Name: NameFull: Suryanto, Wiwit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 27740226 Numbering: – Type: volume Value: 23 – Type: issue Value: 4 Titles: – TitleFull: Trends in Sciences Type: main |
| ResultId | 1 |