Developmental prediction law of water-conducting fracture zones in shallow buried single coal seams.

Developmental prediction law of water-conducting fracture zones in shallow buried single coal seams. | 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 Article Developmental prediction law of water-conducting fracture zones in shallow buried single coal seams. wen qian Zhu, lei Feng, jiang Liu, shuai Li, chenchen Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3927553/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 Taking the mining of shallow buried coal seam 2 − 2 in Xiaobaodang coal mine as the background, the analysis methods of empirical formula calculation method, numerical simulation method, and algorithmic prediction method are comprehensively applied to study the influence of different mining heights, different working face lengths, and different mining depths on the development of water-conducting fissure zones in shallow buried coal seams. At the same time, the development of water-conducting fissure zone in Yushen mining area of northern Shaanxi Province is highly calculated and predicted by algorithmic model. The results of the study show that the PSO-SVR prediction model is more accurate and precise than the traditional empirical formulae and numerical simulations. The results of the study can provide a certain basis for water preservation mining in working face under similar geological conditions. Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Natural hazards Earth and environmental sciences/Space physics Physical sciences/Energy science and technology Physical sciences/Engineering Water-conducting fissure zone Water-preserving mining PSO-SVR algorithm prediction Shallow buried coal seam 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-3927553","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":273799073,"identity":"4f637790-9d91-4dd4-aace-efb1303ea55c","order_by":0,"name":"wen qian 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At the same time, the development of water-conducting fissure zone in Yushen mining area of northern Shaanxi Province is highly calculated and predicted by algorithmic model. The results of the study show that the PSO-SVR prediction model is more accurate and precise than the traditional empirical formulae and numerical simulations. 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