Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area

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Abstract To assess the risk levels of collapse for various low-impact development (LID) measures used in constructing stormwater systems in collapsible loess areas, the high-efficiency and high-precision urban stormwater model (GAST) was used to analyze the risk of waterlogging. Combined with the time of waterlogging accumulation, a method is proposed to assess the collapse risk level of various LID measures by considering the correlation between the collapsibility coefficient and soil parameters. This method was then used to analyze the changing patterns of settlement risk levels in grassed swales and rain gardens under different rainfall return periods (P1=20a, P2=50a, P3=100a) and water accumulation durations (T1=0.5 day, T2=5 day). The findings indicate a direct correlation between the rainfall return periods and the level of risk for collapse. At P3=100a, 50% of the collapse risk level in the study region reaches level III. Nevertheless, when the water accumulation duration is 5 days, the percentage of places classified as category III increases to 75%. Although rain gardens are better than grass swales at storing water, they also increase the risk of collapse. Therefore, it is essential to carefully monitor the durability of rain gardens during long periods of frequent rainfall. The evaluation approach proposed in this research demonstrates a 75% accuracy rate, confirming it as an initial and reliable instrument for evaluating the risk associated with building low-impact development stormwater systems in collapsible loess areas. Moreover, it can be employed to conduct additional investigations of the collapsibility impacts of LID measures in places with collapsible loess.
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Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area | 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 Simulation and Evaluation of Collapsible Risk of Low Impact Development Rainwater System in Collapsible Loess Area Jing Jing, Jingming Hou, Zhan peng Pan, Tian Wang, Xin yi Li, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4010188/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Oct, 2024 Read the published version in Water Resources Management → Version 1 posted 5 You are reading this latest preprint version Abstract To assess the risk levels of collapse for various low-impact development (LID) measures used in constructing stormwater systems in collapsible loess areas, the high-efficiency and high-precision urban stormwater model (GAST) was used to analyze the risk of waterlogging. Combined with the time of waterlogging accumulation, a method is proposed to assess the collapse risk level of various LID measures by considering the correlation between the collapsibility coefficient and soil parameters. This method was then used to analyze the changing patterns of settlement risk levels in grassed swales and rain gardens under different rainfall return periods (P 1 =20a, P 2 =50a, P 3 =100a) and water accumulation durations (T 1 =0.5 day, T 2 =5 day). The findings indicate a direct correlation between the rainfall return periods and the level of risk for collapse. At P 3 =100a, 50% of the collapse risk level in the study region reaches level III. Nevertheless, when the water accumulation duration is 5 days, the percentage of places classified as category III increases to 75%. Although rain gardens are better than grass swales at storing water, they also increase the risk of collapse. Therefore, it is essential to carefully monitor the durability of rain gardens during long periods of frequent rainfall. The evaluation approach proposed in this research demonstrates a 75% accuracy rate, confirming it as an initial and reliable instrument for evaluating the risk associated with building low-impact development stormwater systems in collapsible loess areas. Moreover, it can be employed to conduct additional investigations of the collapsibility impacts of LID measures in places with collapsible loess. Collapsible loess Urban stormwater model Low-impact development measures Method for assessing the risk of collapse Full Text Cite Share Download PDF Status: Published Journal Publication published 09 Oct, 2024 Read the published version in Water Resources Management → Version 1 posted Editorial decision: Minor revisions 09 Apr, 2024 Reviewers agreed at journal 04 Mar, 2024 Reviewers invited by journal 04 Mar, 2024 Editor assigned by journal 03 Mar, 2024 First submitted to journal 03 Mar, 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. 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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-4010188","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":276253869,"identity":"34f4d790-5a70-4b74-8a50-92acc9e05303","order_by":0,"name":"Jing Jing","email":"","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jing","middleName":"","lastName":"Jing","suffix":""},{"id":276253870,"identity":"e05d3d6d-c549-4648-bef9-b21f2e9ceeaf","order_by":1,"name":"Jingming 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