A new RNN-based method of automatically pick out the coseismic groundwater-level change

A new RNN-based method of automatically pick out the coseismic groundwater-level change | 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 A new RNN-based method of automatically pick out the coseismic groundwater-level change Junyi Li, Yang Li, Wujian Ye, Yingcong Zheng, Dongdong Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4266869/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 The coseismic groundwater-level change in Odawara well which located in Kanagawa Prefacture, south Japan, has been recoded from 2011. The sampling rate of the groundwater level is 1Hz. In the long time observation, some ‘abnormal’ change has been checked by artificial. In these ‘abnormal’ groundwater level change, same can be related to earthquake waves as coseimic groundwarer level change. To pick out the coseismic groundwater level changes, We applied a new method based on Recurrent Neural Network(RNN) process to automatically pick out the coseismic groundwater-level change. In the RNN model, we applied a simple geomodel to relate the atmospheric pressure and groundwater level as a weight parameter in the neural network. We use a whole year of 1Hz sampling data to train the RNN model. As the result of the method, the accuracy of the all validation is 0.949, the accuracy of the seismic groundwater level events is 0.966 and the accuracy of the normal groundwater level is 0.971. This method show high accuracy to pick out the short-term secimic groundwater-level change which the change time is less than 45 minutes. 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4266869","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":295058552,"identity":"947d817e-7ac3-448a-97e8-d3a40dce126a","order_by":0,"name":"Junyi Li","email":"","orcid":"","institution":"Guangdong Polytechnic Institute","correspondingAuthor":false,"prefix":"","firstName":"Junyi","middleName":"","lastName":"Li","suffix":""},{"id":295058553,"identity":"0eaeeb67-e127-4ba0-afd5-cf69165f9ee2","order_by":1,"name":"Yang Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIie3QMWvCQBTA8QdCXIK3xiXpR3hyEBz8MHdLXIJYXFt7IaCLH0C/RcAvcOEwLhbXjBk7OBx0KTTQRpdud44F7z+84Xi/4R2Ay/Vfa7AbJBOocRLeR9iVBEo8b+cJvZPc5lR8+lpx6zYe39UHm7+GBMpsP8Eeg746FEZymiVjhkc6zLOcpujNwE+S2khkGiPDiheyXHXEX0Dgx2ZyvtzIWyH5+nuMARdWUqe0YfjCUHJBAdFOhvUl7j5ZjnbbUow2yKhnu2VwTqnW7TIiZN3gV/sTkr6qjORJghcAqL8Xz7R+LRLQ0wBL257L5XI9cr8c1lKedGj1AgAAAABJRU5ErkJggg==","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Yang","middleName":"","lastName":"Li","suffix":""},{"id":295058554,"identity":"13340158-90bf-4d5a-b56e-ffd197137804","order_by":2,"name":"Wujian Ye","email":"","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Wujian","middleName":"","lastName":"Ye","suffix":""},{"id":295058555,"identity":"ccc6f475-a9b4-47b8-b999-23aaee32cc3d","order_by":3,"name":"Yingcong Zheng","email":"","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yingcong","middleName":"","lastName":"Zheng","suffix":""},{"id":295058556,"identity":"31c165b5-2ba5-4290-96a5-661b61601f34","order_by":4,"name":"Dongdong Yang","email":"","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Dongdong","middleName":"","lastName":"Yang","suffix":""}],"badges":[],"createdAt":"2024-04-15 02:59:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4266869/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4266869/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56033510,"identity":"6e86423a-3960-4d87-8228-e4c004ed1a05","added_by":"auto","created_at":"2024-05-07 18:18:52","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":622773,"visible":true,"origin":"","legend":"","description":"","filename":"final3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4266869/v1_covered_934291f6-1958-46e9-9c68-5995c158ceac.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A new RNN-based method of automatically pick out the coseismic groundwater-level change","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":"","lastPublishedDoi":"10.21203/rs.3.rs-4266869/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4266869/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The coseismic groundwater-level change in Odawara well which located in Kanagawa Prefacture, south Japan, has been recoded from 2011. 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