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Separation of high- and low-level ambient noise for HVSR: Application in city conditions for Greater Toronto area
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.ORCID-id: 0000-0002-1660-0663
Department of Civil and Environmental Engineering, Faculty of Engineering, University of Western Ontario.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.ORCID-id: 0000-0001-9419-2207
Rekke forfattare: 32016 (engelsk)Inngår i: Bulletin of The Seismological Society of America (BSSA), ISSN 0037-1106, E-ISSN 1943-3573, Vol. 106, nr 5, s. 2177-2184Artikkel i tidsskrift (Fagfellevurdert) 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

sted, utgiver, år, opplag, sider
2016. Vol. 106, nr 5, s. 2177-2184
HSV kategori
Forskningsprogram
Gruv- och Berganläggningsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-59571DOI: 10.1785/0120150389ISI: 000388365100021Scopus ID: 2-s2.0-84988947861OAI: oai:DiVA.org:ltu-59571DiVA, id: diva2:1033513
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Validerad; 2016; Nivå 2; 2016-10-06 (andbra)

Tilgjengelig fra: 2016-10-07 Laget: 2016-10-07 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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Mihaylov, DimitarDineva, Savka

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