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Separation of high- and low-level ambient noise for HVSR: Application in city conditions for Greater Toronto area
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-1660-0663
Department of Civil and Environmental Engineering, Faculty of Engineering, University of Western Ontario.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0001-9419-2207
Number of Authors: 32016 (English)In: Bulletin of The Seismological Society of America (BSSA), ISSN 0037-1106, E-ISSN 1943-3573, Vol. 106, no 5, p. 2177-2184Article in journal (Refereed) Published
Abstract [en]

The Nakamura method, which involves horizontal-to-vertical spectral ratio (HVSR) analysis, is widely used for seismic microzonation studies. The noise from local traffic in city conditions presents a challenge for the application ofHVSR analysis. This article presents a technique developed for separation of the transient noise due to local traffic (high-level noise) and background ambient noise (low-level noise) and the application of theHVSR analysis to both partitions of the noise. This approach is applied to identify the predominant frequencies for almost 200 noise samples from the Greater Toronto area. The results demonstrated that the developed technique is effective and allows estimation of the fundamental resonant frequency in theHVSR in urban environment, even in the presence of intensive nearby traffic. The interpretation of the obtained results showed that, most probably, the lower (fundamental) frequency appears due to multiple reflections from the overburden/bedrock boundary. In some cases, a resonance with higher amplitude is dominant, and it is due to a contrast boundary between soil layers in the overburden

Place, publisher, year, edition, pages
2016. Vol. 106, no 5, p. 2177-2184
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-59571DOI: 10.1785/0120150389ISI: 000388365100021Scopus ID: 2-s2.0-84988947861OAI: oai:DiVA.org:ltu-59571DiVA, id: diva2:1033513
Note

Validerad; 2016; Nivå 2; 2016-10-06 (andbra)

Available from: 2016-10-07 Created: 2016-10-07 Last updated: 2018-07-10Bibliographically approved

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Mihaylov, DimitarDineva, Savka

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