Research on application of data quality inspection and key information extraction for GPS regional stations

Research on application of data quality inspection and key information extraction for GPS regional stations | 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 Research on application of data quality inspection and key information extraction for GPS regional stations Xing Shen, Zhiguang Liu, Jiaqing Wang, Yajin Pang, Linwei Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8557964/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 With the completion of the global networking of BDS-3 (BeiDou Navigation Satellite System-3), GNSS (Global Navigation Satellite System) has entered a new phase of multi-constellation and multi-frequency collaborative observation. The quality inspection of massive observation data has become a prerequisite for supporting a wide range of applications such as crustal deformation research and earthquake prediction. Based on the UNIX operating environment, this study develops a method for quality inspection and key information extraction of massive GPS data using the SHELL language. This method enables the automatic extraction of core indicators from RINEX-format data, including pseudorange multipath effects (mp1,mp2), data availability rate, observation epoch integrity, and cycle slip ratio (o/slps).Taking the two-phase observation data (2022-2023) from 108 regional stations in the Sichuan-Yunnan region as the research sample, the study method proposed in this paper reveals the following findings: The quality of regional GPS observation data in 2023 showed a systematic decline of approximately 5% compared with that in 2022. Specifically, the proportion of stations with a data availability rate > 85% and mp1,mp2 ≤ 0.5 decreased by 5%, 2%, and 3% respectively. This indicates that the dynamic evolution of the regional observation environment (e.g., vegetation coverage, artificial building interference) has a significant impact on data quality. Further analysis shows that although some stations have pseudorange multipath effects and cycle slip levels within the excellent range (mp1,mp2 10000), their data availability rate is still lower than the 80% required by regulations. The causes of this phenomenon are directly related to terrain occlusion at the station site, hidden electromagnetic interference, and insufficient satellite visibility.The technical method proposed in this paper can greatly avoid the inefficiency of traditional manual work. Compared with existing technical methods, the data processing efficiency per unit time can be improved by 3-5 times. It not only meets the unified inspection needs of GPS data in multiple scenarios but also provides a reference for quality traceability and accuracy assurance of massive multi-source GPS data, which has important practical value for promoting in-depth research on GPS in geophysics. GPS regional stations Data quality inspection Multipath effect Cycle slip ratio Data availability rate Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 05 May, 2026 Editor invited by journal 01 Apr, 2026 Editor assigned by journal 13 Jan, 2026 First submitted to journal 08 Jan, 2026 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-8557964","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":634631988,"identity":"ecc63cce-704b-4c17-b529-a00dbb9bc175","order_by":0,"name":"Xing 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The quality inspection of massive observation data has become a prerequisite for supporting a wide range of applications such as crustal deformation research and earthquake prediction. Based on the UNIX operating environment, this study develops a method for quality inspection and key information extraction of massive GPS data using the SHELL language. This method enables the automatic extraction of core indicators from RINEX-format data, including pseudorange multipath effects (mp1,mp2), data availability rate, observation epoch integrity, and cycle slip ratio (o/slps).Taking the two-phase observation data (2022-2023) from 108 regional stations in the Sichuan-Yunnan region as the research sample, the study method proposed in this paper reveals the following findings: The quality of regional GPS observation data in 2023 showed a systematic decline of approximately 5% compared with that in 2022. Specifically, the proportion of stations with a data availability rate \u0026gt; 85% and mp1,mp2 ≤ 0.5 decreased by 5%, 2%, and 3% respectively. This indicates that the dynamic evolution of the regional observation environment (e.g., vegetation coverage, artificial building interference) has a significant impact on data quality. Further analysis shows that although some stations have pseudorange multipath effects and cycle slip levels within the excellent range (mp1,mp2 \u0026lt;0.3, o/slps \u0026gt;10000), their data availability rate is still lower than the 80% required by regulations. The causes of this phenomenon are directly related to terrain occlusion at the station site, hidden electromagnetic interference, and insufficient satellite visibility.The technical method proposed in this paper can greatly avoid the inefficiency of traditional manual work. Compared with existing technical methods, the data processing efficiency per unit time can be improved by 3-5 times. It not only meets the unified inspection needs of GPS data in multiple scenarios but also provides a reference for quality traceability and accuracy assurance of massive multi-source GPS data, which has important practical value for promoting in-depth research on GPS in geophysics.","manuscriptTitle":"Research on application of data quality inspection and key information extraction for GPS regional stations","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-05-12 11:18:04","doi":"10.21203/rs.3.rs-8557964/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2026-05-05T08:26:39+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"Acta Geophysica","date":"2026-04-01T18:20:04+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-01-13T09:18:43+00:00","index":"","fulltext":""},{"type":"submitted","content":"Acta Geophysica","date":"2026-01-09T02:26:09+00:00","index":"","fulltext":""}],"status":"published","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}}],"origin":"","ownerIdentity":"c1c83c92-74b8-4e1f-b3cc-b5e625488d03","owner":[],"postedDate":"May 12th, 2026","published":true,"recentEditorialEvents":[{"type":"reviewersInvited","content":"","date":"2026-05-05T08:26:39+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-12T11:18:04+00:00","versionOfRecord":[],"versionCreatedAt":"2026-05-12 11:18:04","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8557964","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8557964","identity":"rs-8557964","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}