Horizontal-to-Vertical Spectral Ratio (HVSR) Analysis of the Martian Passive Seismic Data from the InSight Mission

Subduction of Indo-Australia plate to Eurasia plate and locally active fault nearby Kulon Progo play as major source for earthquake events. After effect due to earthquake has different level of damage which depend on the magnitude and site characteristics. The horizontal-to-vertical spectral ratio (HVSR) passive seismic method is being used drastically to help in mapping the level of site vulnerability to earthquake event. HVSR analysis results help us acquire some physical values including weathered layer thickness where Vs 30 reference came from surface waves dispersion curve analysis of the MASW method as it is used as a parameter in calculating thickness value. Seismic refraction tomography is used to create subsurface model thus we may see the extent of underlying layer and its implication to earthquake event.Data measurements distribution are scattered in Kalirejo Village with the total of 63 passive seismic data, 33 MASW data, and 7 lines of seismic refraction acquisition. Some data show inadequate quality to be taken into further processing step, so data sorting activity should be carefully done. As a result, 21 of 63 passive seismic data are considered adequate to represent site physical values. Dominant frequency values ranging from 2 to 20 Hz, amplification factor varies between 1.5-12.5, and seismic vulnerability indices varies between 0.3-20. Surface waves dispersion curve inversion results are Vs 30 values ranging from 350 m/s to 980 m/s and seismic refraction tomography model shows Vp model with velocity values ranging from 0.2 to 3.2 km/s.

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HVSR Analysis of Rockslide Seismic Signals to Assess the Subsoil Conditions and the Site Seismic Response

International Journal of Geophysics ◽

10.1155/2018/9383189 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Alessia Lotti ◽

Veronica Pazzi ◽

Gilberto Saccorotti ◽

Andrea Fiaschi ◽

Luca Matassoni ◽

...

Keyword(s):

Seismic Data ◽

Seismic Noise ◽

Spectral Ratio ◽

Effect Of Temperature ◽

Precipitation Trend ◽

Seismic Signals ◽

Rock Falls ◽

Time Frequency ◽

Passive Seismic ◽

On Line

Many Italian rock slopes are characterized by unstable rock masses that cause constant rock falls and rockslides. To effectively mitigate their catastrophic consequence thorough studies are required. Four velocimeters have been placed in the Torgiovannetto quarry area for an extensive seismic noise investigation. The study area (with an approximate surface of 200×100 m) is located near the town of Assisi (Italy) and is threatened by a rockslide. In this work, we present the results of the preliminary horizontal to vertical spectral ratio analysis of the acquired passive seismic data aimed at understanding the pattern of the seismic noise variation in case of stress state and/or weathering conditions (fluid content and microfracturing). The Torgiovannetto unstable slope has been monitored since 2003 by Alta Scuola of Perugia and the Department of Earth Sciences of the University of Firenze, after the observation of a first movement by the State Forestry Corps. The available data allowed an extensive comparison between seismic signals, displacement, and meteorological information. The measured displacements are well correlated with the precipitation trend, but unfortunately no resemblance with the seismic data was observed. However, a significant correlation between temperature data and the horizontal to vertical spectral ratio trend of the seismic noise could be identified. This can be related to the indirect effect of temperature on rock mass conditions and further extensive studies (also in the time frequency domain) are required to better comprehend this dependency. Finally, the continuous on-line data reveal interesting applications to provide near-real time warning systems for emerging potentially disastrous rockslides.

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Estimation of glacier thicknesses and basal properties using the horizontal-to-vertical component spectral ratio (HVSR) technique from passive seismic data

Journal of Glaciology ◽

10.1017/jog.2016.135 ◽

2017 ◽

Vol 63 (238) ◽

pp. 229-248 ◽

Cited By ~ 27

Author(s):

STEFANO PICOTTI ◽

ROBERTO FRANCESE ◽

MASSIMO GIORGI ◽

FRANCO PETTENATI ◽

JOSÉ M. CARCIONE

Keyword(s):

Seismic Data ◽

Vertical Component ◽

Cost Effective ◽

Spectral Ratio ◽

Site Effect ◽

Glacier Surface ◽

Wide Range ◽

Passive Seismic ◽

Geophysical Imaging ◽

Hvsr Technique

ABSTRACTMicrotremor measurements and the horizontal-to-vertical spectral ratio (HVSR) technique, generally used for site effect studies as well as to determine the thickness of soft sedimentary layers, can effectively be applied to map the thickness of glaciers. In this work the radio-echo sounding, geoelectric and active seismic methods, widely employed to image the earth interior, are applied to verify the reliability of the HVSR technique in Alpine and Antarctic glacial environments. The technique has been used to analyze passive seismic data from glaciers of the Adamello and Ortles-Cevedale massifs (Italy), the Bernese Oberland Alps (Switzerland) and from the Whillans Ice Stream (West Antarctica). Comparing with the results obtained from the different geophysical imaging methods, we show that the resonance frequency in the HVSR spectra correlates well with the ice thickness at the site, in a wide range from a few tens of meters to more than 800 m. The reliability of the method mainly depends on the coupling of sensors at the glacier surface and on the basal impedance contrast. This passive seismic technique offers a logistically efficient and cost effective method to map glacier and ice-sheet thicknesses. Moreover, under certain conditions, it allows reliable estimations of the basal seismic properties.

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Automated Event Detection and Denoising Method for Passive Seismic Data Using Residual Deep Convolutional Neural Networks

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3054071 ◽

2021 ◽

pp. 1-11

Author(s):

Abdullah Othman ◽

Naveed Iqbal ◽

Sherif M. Hanafy ◽

Umair Bin Waheed

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Event Detection ◽

Seismic Data ◽

Deep Convolutional Neural Networks ◽

Denoising Method ◽

Passive Seismic

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Shear wave velocity profile estimation by integrated analysis of active and passive seismic data from small aperture arrays

Journal of Applied Geophysics ◽

10.1016/j.jappgeo.2016.03.034 ◽

2016 ◽

Vol 130 ◽

pp. 37-52 ◽

Cited By ~ 13

Author(s):

A.M. Lontsi ◽

M. Ohrnberger ◽

F. Krüger

Keyword(s):

Velocity Profile ◽

Shear Wave ◽

Shear Wave Velocity ◽

Seismic Data ◽

Integrated Analysis ◽

Small Aperture ◽

Passive Seismic ◽

Shear Wave Velocity Profile ◽

Profile Estimation ◽

Aperture Arrays

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Seismic solutions utilizing existing in-mine infrastructure for mineral exploration: A case study from Maseve platinum mine, South Africa

The Leading Edge ◽

10.1190/tle41010054.1 ◽

2022 ◽

Vol 41 (1) ◽

pp. 54-61

Author(s):

Moyagabo K. Rapetsoa ◽

Musa S. D. Manzi ◽

Mpofana Sihoyiya ◽

Michael Westgate ◽

Phumlani Kubeka ◽

...

Keyword(s):

South Africa ◽

Seismic Data ◽

Mineral Exploration ◽

Ground Surface ◽

Seismic Survey ◽

Noisy Environment ◽

Borehole Data ◽

Passive Seismic ◽

Below Ground

We demonstrate the application of seismic methods using in-mine infrastructure such as exploration tunnels to image platinum deposits and geologic structures using different acquisition configurations. In 2020, seismic experiments were conducted underground at the Maseve platinum mine in the Bushveld Complex of South Africa. These seismic experiments were part of the Advanced Orebody Knowledge project titled “Developing technologies that will be used to obtain information ahead of the mine face.” In these experiments, we recorded active and passive seismic data using surface nodal arrays and an in-mine seismic land streamer. We focus on analyzing only the in-mine active seismic portion of the survey. The tunnel seismic survey consisted of seven 2D profiles in exploration tunnels, located approximately 550 m below ground surface and a few meters above known platinum deposits. A careful data-processing approach was adopted to enhance high-quality reflections and suppress infrastructure-generated noise. Despite challenges presented by the in-mine noisy environment, we successfully imaged the platinum deposits with the aid of borehole data and geologic models. The results open opportunities to adapt surface-based geophysical instruments to address challenging in-mine environments for mineral exploration.

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Spectral ratio comparison between translation and rotational records from induced seismic events.

10.5194/egusphere-egu21-8817 ◽

2021 ◽

Author(s):

Dariusz Nawrocki ◽

Maciej Mendecki ◽

Lesław Teper

Keyword(s):

Seismic Data ◽

Seismic Station ◽

Spectral Ratio ◽

Numerical Differentiation ◽

Vertical Axis ◽

Frequency Range ◽

Signal Ratio ◽

Seismic Waveforms ◽

Seismic Tests ◽

Rotation Spectrum

The seismic observations of the rotational signals are a field of seismology that is constantly developed. The recent research concerns sensors technology and its potential application in seismic tests. This study presents the results of a comparative analysis of rotational and translational seismic records using the horizontal-to-vertical spectral ratio (HVSR) method. In terms of transitional signal ratio, we have used the name of HVSR, but in terms of rotational component spectra, we have introduced a torsion-to-rocking spectral ratio (TRSR) which corresponds to horizontal rotation spectrum to vertical rotation spectrum. It has to be noticed that rotation in the horizontal axes has a vertical character and rotation in the vertical axis has a horizontal character.The comparison was carried out between velocity signals of translational and rotational records, as well as, between acceleration signals respectively. All seismic data were recorded by two independent sensors: the rotational seismometer and translational accelerometer at the Imielin station, located in the Upper Silesia Coal Basin (USCB), Poland. The seismic data composed of three-component seismic waveforms related to 56 recorded tremors which were located up to 1,5 km from the seismic station and they resulted from the coal extractions carried out in the neighboring coal mines. The rotational acceleration was obtained by numerical differentiation and the translational velocity was produced by numerical integration.The conducted spectral analyses allowed to estimate the range of frequency in which the rotational HVSR and the corresponded translational HVSR are comparable. The analysis of HVSR/TRSR curves (in the selected frequency range of 1Hz to 10Hz) showed a strong correlation between the spectral ratios for the velocity signals (translational and rotational) in the frequency range of 1Hz to 2Hz. Respectively, the comparison of the accelerometer signals indicated the correlation between HVSR/TRSR curves in the frequency range of 1Hz to 3Hz. Moreover, both of the TRSR (for velocity and acceleration) showed additional maxima in the same frequency range of 3Hz to 5Hz. These relatively high-frequency maxima did not correspond to translational spectra. &#160;

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