Joint inversion of ambient noise surface wave and gravity data with variation of information coupling

Joint inversion of ambient noise surface wave and gravity data with variation of information coupling | 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 Joint inversion of ambient noise surface wave and gravity data with variation of information coupling Zhanjie Shi, Chao Wang, Xinxin He, Tengjiao Du This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3962862/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Joint inversion of surface wave and gravity data can reduce non-uniqueness of individual inversion and has been applied in the research of the crust and lithospheric mantle. Direct parameter coupling is mainly used for jointly inverting the both dataset in the current research, which need specifying a function relationship between shear wave (S-wave) velocity and density. It can result in spurious features when the models violate the parameter relationship. Moreover, deriving an appropriate velocity-density function is difficult and a single physical property relationship may not always be suitable for all regions. In this study, we present a new joint inversion algorithm for ambient noise surface wave and gravity data with variation of information (VI) coupling. The correlation between S-wave velocity and density models is constructed by a one-to-one relationship with VI. The effectiveness of the algorithm is verified using the synthetic and field data. The results of synthetic examples indicate that density anomalies have been recovered accurately by the joint inversion, but they are almost not imaged by the individual inversion. S-wave velocity models recovered by the joint inversion are more accurate than that from the individual inversion. And the fitting parameter relationship of the joint inversion models is closer to the true model than individual inversion. In the field case from the southeast of Tibetan Plateau, the S-wave velocity model of joint inversion has a higher resolution than separate inversion. Density model recovered by the joint inversion clearly displays crustal structures, which have been severely distorted in the individual inversion model. Joint inversion with VI coupling is an effective and valuable approach for inverting surface wave and gravity data. Ambient noise surface wave Gravity Joint inversion Variation of information coupling Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 18 Jun, 2024 Editor invited by journal 21 Feb, 2024 Editor assigned by journal 19 Feb, 2024 First submitted to journal 15 Feb, 2024 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-3962862","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":315903294,"identity":"0be3500a-34b9-4ba9-b7d6-dbcd3aa37ce4","order_by":0,"name":"Zhanjie Shi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYDACCcYGZiDFzMbAfIBBAiRygHgtbAnEagEqh7B4DCA0IS3ys5ubPxfU3GHnY+/5/MGyjUGO70YC4+cCPFoM7hxsMJ5x7BkzG8/ZDQaSbQzGkjcSmKVn4NMikdiQzMN2mJlNIndDAlBL4oYbCWzMPPgcNiOx4TDPP6AW+TcPDgC11BPUwnAjsbGZtw1kCw9jA1BLggEhLQY3EpuZefuAWnjSjBkkzkkYzjzzsFkav8PSH3/m+XY4Wb798OPPEmU28nzHkw9+xuswKEgGEcwS4MhkbCBCAwODHYhg/ECU2lEwCkbBKBhpAACoNkdzz5TWYwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-9283-9070","institution":"Zhejiang University","correspondingAuthor":true,"prefix":"","firstName":"Zhanjie","middleName":"","lastName":"Shi","suffix":""},{"id":315903295,"identity":"6a62791c-2c40-456a-ad49-6f9896dc974f","order_by":1,"name":"Chao Wang","email":"","orcid":"","institution":"Zhejiang University","correspondingAuthor":false,"prefix":"","firstName":"Chao","middleName":"","lastName":"Wang","suffix":""},{"id":315903296,"identity":"2f338693-e475-42d0-9c97-e96b81811218","order_by":2,"name":"Xinxin He","email":"","orcid":"","institution":"Zhejiang University","correspondingAuthor":false,"prefix":"","firstName":"Xinxin","middleName":"","lastName":"He","suffix":""},{"id":315903297,"identity":"64615aac-c92c-4eda-809b-a06ee56d6f6b","order_by":3,"name":"Tengjiao Du","email":"","orcid":"","institution":"Zhejiang University","correspondingAuthor":false,"prefix":"","firstName":"Tengjiao","middleName":"","lastName":"Du","suffix":""}],"badges":[],"createdAt":"2024-02-17 02:44:48","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3962862/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3962862/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59680336,"identity":"7641eb22-ca5a-46da-8b4d-9f862e638caa","added_by":"auto","created_at":"2024-07-04 17:52:48","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1710538,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3962862/v1_covered_993e29d4-f95c-471c-8906-b7354d95216a.pdf"}],"financialInterests":"","formattedTitle":"Joint inversion of ambient noise surface wave and gravity data with variation of information coupling","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"acta-geophysica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"agph","sideBox":"Learn more about [Acta Geophysica](http://link.springer.com/journal/11600)","snPcode":"11600","submissionUrl":"https://www.editorialmanager.com/agph/default2.aspx","title":"Acta Geophysica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Ambient noise surface wave, Gravity, Joint inversion, Variation of information coupling","lastPublishedDoi":"10.21203/rs.3.rs-3962862/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3962862/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eJoint inversion of surface wave and gravity data can reduce non-uniqueness of individual inversion and has been applied in the research of the crust and lithospheric mantle. Direct parameter coupling is mainly used for jointly inverting the both dataset in the current research, which need specifying a function relationship between shear wave (S-wave) velocity and density. It can result in spurious features when the models violate the parameter relationship. Moreover, deriving an appropriate velocity-density function is difficult and a single physical property relationship may not always be suitable for all regions. In this study, we present a new joint inversion algorithm for ambient noise surface wave and gravity data with variation of information (VI) coupling. The correlation between S-wave velocity and density models is constructed by a one-to-one relationship with VI. The effectiveness of the algorithm is verified using the synthetic and field data. The results of synthetic examples indicate that density anomalies have been recovered accurately by the joint inversion, but they are almost not imaged by the individual inversion. S-wave velocity models recovered by the joint inversion are more accurate than that from the individual inversion. And the fitting parameter relationship of the joint inversion models is closer to the true model than individual inversion. In the field case from the southeast of Tibetan Plateau, the S-wave velocity model of joint inversion has a higher resolution than separate inversion. Density model recovered by the joint inversion clearly displays crustal structures, which have been severely distorted in the individual inversion model. 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