Influence Mechanism of Urban River Water Level on the Drainage Capacity of Stormwater Pipelines

Influence Mechanism of Urban River Water Level on the Drainage Capacity of Stormwater Pipelines | 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 Influence Mechanism of Urban River Water Level on the Drainage Capacity of Stormwater Pipelines Jinjun Zhou, Mengqi Kong, Xiaoxin Zhang, Zilong Liu, Haijia Zhang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8032958/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 dynamic coupling relationship between urban stormwater drainage networks and river water levels constitutes a critical issue in flood prevention. This study focuses on the area within Beijing's 3rd Ring Road, establishing an urban flood model using surveyed data of 67,212 pipe segments, 66,759 inspection wells, and 232 sub-catchments to analyze the backwater effect mechanism of river levels on drainage network capacity. Through Python-based batch simulations of 1,056 water level scenarios, results indicate that 64.6% of sub-catchments demonstrate drainage capacities meeting only 1-4-year recurrence interval standards. A nonlinear fitting formula (R²≥0.90) integrating pipe network service area, density, and storage capacity is developed, revealing a quadratic decay pattern in drainage capacity with rising water levels. These findings provide theoretical support for optimizing urban drainage design and flood warning systems. Physical sciences/Engineering Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Hydrology Earth and environmental sciences/Natural hazards Scientific community and society/Water resources Urban flooding Stormwater drainage network River water level Drainage capacity Hydrological model Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryDocument.pdf 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-8032958","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":552677994,"identity":"2ecd1d24-e695-4b64-9d0b-ca61794c77da","order_by":0,"name":"Jinjun Zhou","email":"","orcid":"","institution":"Tsinghua University","correspondingAuthor":false,"prefix":"","firstName":"Jinjun","middleName":"","lastName":"Zhou","suffix":""},{"id":552677995,"identity":"80fa1ff5-6c5f-42bb-9d30-bd81ac2d5f38","order_by":1,"name":"Mengqi Kong","email":"","orcid":"","institution":"Beijing University of 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