Atikul Haque Farazi

Mr. Atikul Haque Farazi

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 July 2020 in Arabian Journal of Geosciences
Verified
Journal Article
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IMIlias Mahmud
Ilias Mahmud
AMAbu Jafor Mia
Abu Jafor Mia
MIMD ASHRAFUL ISLAM
MD ASHRAFUL ISLAM
MPMehedi Hasan Peas
Mehedi Hasan Peas
AFAtikul Haque Farazi
Atikul Haque Farazi
SASyed Humayun Akhter
Syed Humayun Akhter

30 March 2020 in SN Applied Sciences
Verified
Journal Article
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SHShakhawat Hossain
Shakhawat Hossain
AKA. S. M. Maksud Kamal
A. S. M. Maksud Kamal
MRMd. Zillur Rahman
Md. Zillur Rahman
AFAtikul Haque Farazi
Atikul Haque Farazi
DMDhiman Ranjan Mondal
Dhiman Ranjan Mondal
NFNasim Ferdous
Nasim Ferdous

24 January 2023 in Geophysical Journal International
Verified
Journal Article
Open access
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AFAtikul Haque Farazi
Atikul Haque Farazi
YIYoshihiro Ito
Yoshihiro Ito
EGEmmanuel Soliman M Garcia
Emmanuel Soliman M Garcia
ALAgostiny Marrios Lontsi
Agostiny Marrios Lontsi
FSFrancisco José Sánchez-Sesma
Francisco José Sánchez-Sesma
MSMasanao Shinohara
Masanao Shinohara
This study presents the shear-wave velocity (VS) structures of sedimentary sequences and a section of the upper crustal layer in the Fukushima forearc region of the Japan Trench subduction zone, which were obtained by analysing the horizontal-to-vertical (H/V) spectral ratios of ambient vibration records. The H/V curves were derived using 31 days of continuous seismic data from 3 broadband and 16 short-period ocean bottom seismometer (OBS) stations. Using the broadband data, H/V ratios from 0.01 to 10 Hz were derived, but the ratios below 0.1 Hz frequencies were unusually large and temporally unstable. Characterization of seismic noise energy from ∼1 year of seismic data of three broadband OBSs revealed variable and elevated energy conditions below 0.1 Hz due to typical long-period oceanic noise; we link these observations with the unstable H/V ratios below this frequency. Therefore, H/V analysis was performed in the frequency range of 0.1–10 Hz for both broadband and short-period OBSs to obtain subsurface VS profiles. For the forward calculation of the H/V ratios in the inversion process, we used the recently developed “hvgeneralized" method, which is based on the diffuse field assumption (DFA), and accounts for the water layer on top of stratified media. Moreover, available prior geological and geophysical information was utilized during the inversion of the H/V curves. We found that subsurface VS ranged from approximately 30 m/s at the seabed to approximately 4900 m/s at 7000 m below the sea floor (mbsf). Starting with the best model candidate at each OBS location, the effect of the water layer on the H/V curve in the deep ocean was investigated by comparing synthetic H/V curves with and without the water layer. The synthetic H/V analysis revealed that the water layer had a significant effect on H/V amplitudes at higher frequencies (>1 Hz), whereas comparatively little effect was observed at lower frequencies (<1 Hz). This study provides an empirical basis for H/V analysis using OBS data to determine VS down to several kilometers of sedimentary sequences to the upper crust with high-resolution.

17 March 2017 in Bulletin of Engineering Geology and the Environment
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Journal Article
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ZRZillur Rahman
Zillur Rahman
SHShakhawat Hossain
Shakhawat Hossain
AKA. S. M. Maksud Kamal
A. S. M. Maksud Kamal
SSSumi Siddiqua
Sumi Siddiqua
FMFansab Mustahid
Fansab Mustahid
AFAtikul Haque Farazi
Atikul Haque Farazi


1 May 2018 in Journal of Scientific Research
Verified
Journal Article
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AFAtikul Haque Farazi
Atikul Haque Farazi
NFN. Ferdous
N. Ferdous
AKA. S. M. M. Kamal
A. S. M. M. Kamal
This study aims at evaluation of seismic soil liquefaction hazard potential at Probashi Palli Abasan Project area of Tongi, Gazipur, exploiting standard penetration test (SPT) data of 15 boreholes, following Simplified Procedure. Liquefaction potential index (LPI) of each borehole was determined and then cumulative frequency distribution of clustered LPI values of each surface geology unit was determined assuming cumulative frequency at LPI = 5 as the threshold value for liquefaction initiation. By means of geotechnical investigation two surface geological units—Holocene flood plain deposits, and Pleistocene terrace deposits were identified in the study area. We predicted that 14% and 24% area of zones topped by Pleistocene terrace deposits and zones topped by Holocene flood plain deposits, respectively, would exhibit surface manifestation of liquefaction as a result of 7 magnitude earthquake. The engendered hazard map also depicts site specific liquefaction intensity through LPI values of respective boreholes, and color index, which was delineated by mapping with ArcGIS software. Very low to low, and low to high liquefaction potential, respectively, was found in the areas covered by Pleistocene terrace deposits and Holocene flood plain deposits. LPI values of both units are such that sand boils could be generated where LPI > 5.