Mapping site amplification with the dense recording of ambient vibration for the city of Lucerne (Switzerland) – comparison between two approaches

Mapping site amplification with the dense recording of ambient vibration for the city of Lucerne (Switzerland) – comparison between two approaches | 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 Mapping site amplification with the dense recording of ambient vibration for the city of Lucerne (Switzerland) – comparison between two approaches Paulina Janusz, Francesco Panzera, Paolo Bergamo, Vincent Perron, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3912894/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Jan, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract Reliable site-specific amplification information can be retrieved using earthquake-based methods, involving the deployment of seismic networks, which, however, may need to operate for years. Hence, time- and cost-effective approaches using ambient vibrations are gaining popularity. Among such techniques, the hybrid standard spectral ratio method (SSRh) uses simultaneous recordings of ambient vibrations translated into a prediction of local seismic response with a limited number of instrumented sites with earthquake ground-motion data. The canonical correlation approach (CC) collates measured empirical amplification with its proxy computed from ambient vibrations (horizontal-to-vertical spectral ratios, HVSRn) at a training set of seismic stations, to predict site response at points without earthquake recordings. We apply both methods in the Lucerne area (Switzerland), located on a soft sedimentary basin, obtaining consistent results, comparable to amplification estimates from earthquake ground motions. The resulting linear amplification factors are significant (factor of 8–10 or more) at the fundamental frequency of resonance of the sediments (0.8-2 Hz). However, both techniques show systematic differences in the spatial and frequency domains. The CC method tends to underestimate the amplification at the fundamental frequency, while SSRh predicts higher amplification factors in the center and lower at the basin edges in comparison to the CC approach. The study discusses the impact of limited completeness of the calibration dataset, and variability introduced by factors like V s30 model choice and inelastic behavior treatment for the CC method, as well as the influence of the measurement setup for the SSRh method. ambient vibrations site amplification seismic site effects urban areas seismic hazard Full Text Supplementary Files AppendixA.pdf AppendixB.xlsx AppendixC1.pdf AppendixC2.pdf AppendixC3.pdf AppendixC4.pdf AppendixC5.pdf AppendixC6.pdf AppendixD.pdf Cite Share Download PDF Status: Published Journal Publication published 24 Jan, 2025 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted Editorial decision: Minor revisions needed 22 Mar, 2024 Reviewers agreed at journal 31 Jan, 2024 Reviewers invited by journal 31 Jan, 2024 Editor assigned by journal 30 Jan, 2024 First submitted to journal 29 Jan, 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-3912894","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":270418601,"identity":"c333e459-5d3c-4364-9a6b-cdd8fbade090","order_by":0,"name":"Paulina 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