Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis

Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis dairoh dairoh, Sudarmaji Sudarmaji, Ahmad Ashari, Wiwit Suryanto This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6575289/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a monitoring system of Merapi Volcano activity using five remote seismic station and low-cost Raspberry Shake and Boom sensors as an alternative to conventional (local) monitoring. The purpose of this study is to identify volcanic events recorded from seismic stations (UGM antenna) on seismic signal components by detecting and classifying events. The identification of volcanic events is carried out using STA/LTA detection, spectral, temporal, and seismic array analysis, as well as classification using the beamforming approach method and Frequency-Wavenumber (FK) analysis to determine the direction of incidence of the signal. The data analyzed for the period August 16 to September 12, 2023 on seismic signal components from UGM antenna station recordings. The results of our research show that both approaches used for the event identification process are able to verify and distinguish the source of seismic signal events recorded at the seismic remote UGM antenna station. The results of the beamforming approach and FK analysis effectively distinguish volcanic and earthquake event signals, with 376 volcanic events identified and a match rate of 84.30% to the PVMBG catalogue. The UGM antenna station recording data proved to be able to record volcanic activity from a distance of ± 16 km and has the potential to be a monitoring and early warning solution in volcanic areas that do not have adequate equipment. Merapi Volcano seismic detection remote and monitoring Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6575289","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":453716210,"identity":"52e129a3-de30-40a3-a133-25ca540590f7","order_by":0,"name":"dairoh dairoh","email":"","orcid":"","institution":"Universitas Gadjah Mada","correspondingAuthor":false,"prefix":"","firstName":"dairoh","middleName":"","lastName":"dairoh","suffix":""},{"id":453716211,"identity":"b07f534a-72f7-4a98-ad5a-e069e7faa6f3","order_by":1,"name":"Sudarmaji Sudarmaji","email":"","orcid":"","institution":"Universitas Gadjah Mada","correspondingAuthor":false,"prefix":"","firstName":"Sudarmaji","middleName":"","lastName":"Sudarmaji","suffix":""},{"id":453716212,"identity":"f18f6ea8-6134-4bcf-b199-abb7965f27e8","order_by":2,"name":"Ahmad Ashari","email":"","orcid":"","institution":"Universitas Gadjah Mada","correspondingAuthor":false,"prefix":"","firstName":"Ahmad","middleName":"","lastName":"Ashari","suffix":""},{"id":453716213,"identity":"fae4b616-1ac1-4327-bd28-8361b5580b15","order_by":3,"name":"Wiwit Suryanto","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAn0lEQVRIiWNgGAWjYFAC5gNQBmODBJFa2BJI1sJjAGcSp8Xg/Jlvkl9zGOT5G5gbbxCn5UbuNmnZbQyGMw4wNlsQpcXsBu82acltDIwbGBjbiHOY2fkzz0Ba7EnQciCHTfLjNoZE4rXY30gztmbcJpE84zCxfpHsP/zw5s9tNrb97e0PiQsxEGDmAcUIM9HqgYDxBymqR8EoGAWjYOQBANU6K1+61sKYAAAAAElFTkSuQmCC","orcid":"","institution":"Universitas Gadjah Mada","correspondingAuthor":true,"prefix":"","firstName":"Wiwit","middleName":"","lastName":"Suryanto","suffix":""}],"badges":[],"createdAt":"2025-05-02 04:23:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6575289/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6575289/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85947715,"identity":"d7dbc7d8-65af-42ce-981f-fef73a99c4f5","added_by":"auto","created_at":"2025-07-03 13:08:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2866207,"visible":true,"origin":"","legend":"","description":"","filename":"artikeldisc.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6575289/v1_covered_13745b82-15df-4986-b559-6109a2fd261a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Discrimination of Seismic Signals in UGM Antenna Station Recordings at Merapi Volcano Using a Remote Seismic Array: Beamforming and FK Analysis","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Merapi Volcano, seismic, detection, remote and monitoring","lastPublishedDoi":"10.21203/rs.3.rs-6575289/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6575289/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study presents a monitoring system of Merapi Volcano activity using five remote seismic station and low-cost Raspberry Shake and Boom sensors as an alternative to conventional (local) monitoring. 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The results of the beamforming approach and FK analysis effectively distinguish volcanic and earthquake event signals, with 376 volcanic events identified and a match rate of 84.30% to the PVMBG catalogue. 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