1994
DOI: 10.1785/bssa0840061831
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Characteristics of long-period microtremors and their applicability in exploration of deep sedimentary layers

Abstract: Applicability of long-period microtremors in inferring subsurface structure is examined using measurements of microtremors in the northwestern part of the Kanto Plain in Japan. Short-term continuous measurements of long-period microtremors at both sediment and basement sites were taken. A spectral peak at a period of 4 to 5 sec is stable with time, while peaks at periods less than 2 sec are time variant, suggesting a variation of microtremor sources. However, it was found that the spectral ratio between vertic… Show more

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Cited by 167 publications
(15 citation statements)
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“…with a period of more than 2 seconds), and short-term microtremor (caused by human activities such as traffic, machinery, etc. with periods under 2 seconds) (Yamanaka et al, 1994). The comparison of the H/V component microtremor signal resulted in the dominant frequency and amplification parameters.…”
Section: Microtremor Data Processingmentioning
confidence: 95%
“…with a period of more than 2 seconds), and short-term microtremor (caused by human activities such as traffic, machinery, etc. with periods under 2 seconds) (Yamanaka et al, 1994). The comparison of the H/V component microtremor signal resulted in the dominant frequency and amplification parameters.…”
Section: Microtremor Data Processingmentioning
confidence: 95%
“…The HVSR method uses three components of ambient seismic noise in the horizontal direction of the west-east, north-south, and vertical directions consisting of long-term microtremors generated by natural activities, such as wind, sea waves, and rain, with periods of greater than 2 seconds; short-term microtremors produced by human activities, such as traffic and machinery; and other tremor sources with periods of less than 2 seconds [30]. This microtremor method is a passive seismic method with a single measurement station.…”
Section: Fig 2 Map Of the Research Area In Kota Lama Semarangmentioning
confidence: 99%
“…To compute the dispersion curve of the seismic signals emerging from the CC functions, we applied a velocity analysis to them. The method is similar to the constant velocity stack (CVS) analysis (Yilmaz, 1987;Yamanaka et al, 1994), which is very popular in active seismic reflection processing and has already been used on CC results for different Italian areas (Vassallo et al, 2019;Di Giulio et al, 2020). The CC functions were filtered in different frequency bands starting from 0.5 to 20 Hz.…”
Section: Velocity Profile Estimationmentioning
confidence: 99%