Relevant bibliographies by topics / HVSR inversion

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Academic literature on the topic 'HVSR inversion'

Author: Grafiati
Published: 11 December 2022
Last updated: 25 January 2023

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Journal articles on the topic "HVSR inversion"

1

Neukirch, Maik, Antonio García-Jerez, Antonio Villaseñor, Francisco Luzón, Jacques Brives, and Laurent Stehly. "On the Utility of Horizontal-to-Vertical Spectral Ratios of Ambient Noise in Joint Inversion with Rayleigh Wave Dispersion Curves for the Large-N Maupasacq Experiment." Sensors 21, no. 17 (September 4, 2021): 5946. http://dx.doi.org/10.3390/s21175946.

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Horizontal-to-Vertical Spectral Ratios (HVSR) and Rayleigh group velocity dispersion curves (DC) can be used to estimate the shallow S-wave velocity (VS) structure. Knowing the VS structure is important for geophysical data interpretation either in order to better constrain data inversions for P-wave velocity (VP) structures such as travel time tomography or full waveform inversions or to directly study the VS structure for geo-engineering purposes (e.g., ground motion prediction). The joint inversion of HVSR and dispersion data for 1D VS structure allows characterising the uppermost crust and near surface, where the HVSR data (0.03 to 10s) are most sensitive while the dispersion data (1 to 30s) constrain the deeper model which would, otherwise, add complexity to the HVSR data inversion and adversely affect its convergence. During a large-scale experiment, 197 three-component short-period stations, 41 broad band instruments and 190 geophones were continuously operated for 6 months (April to October 2017) covering an area of approximately 1500km2 with a site spacing of approximately 1 to 3km. Joint inversion of HVSR and DC allowed estimating VS and, to some extent density, down to depths of around 1000m. Broadband and short period instruments performed statistically better than geophone nodes due to the latter’s gap in sensitivity between HVSR and DC. It may be possible to use HVSR data in a joint inversion with DC, increasing resolution for the shallower layers and/or alleviating the absence of short period DC data, which may be harder to obtain. By including HVSR to DC inversions, confidence improvements of two to three times for layers above 300m were achieved. Furthermore, HVSR/DC joint inversion may be useful to generate initial models for 3D tomographic inversions in large scale deployments. Lastly, the joint inversion of HVSR and DC data can be sensitive to density but this sensitivity is situational and depends strongly on the other inversion parameters, namely VS and VP. Density estimates from a HVSR/DC joint inversion should be treated with care, while some subsurface structures may be sensitive, others are clearly not. Inclusion of gravity inversion to HVSR/DC joint inversion may be possible and prove useful.
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Rong, Mianshui, Xiaojun Li, and Lei Fu. "Improvement of the objective function in the velocity structure inversion based on horizontal-to-vertical spectral ratio of earthquake ground motions." Geophysical Journal International 224, no. 1 (July 21, 2020): 1–16. http://dx.doi.org/10.1093/gji/ggaa347.

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SUMMARY Given the improvements that have been made in the forward calculations of seismic noise horizontal-to-vertical spectral ratios (NHVSRs) or earthquake ground motion HVSRs (EHVSRs), a number of HVSR inversion methods have been proposed to identify underground velocity structures. Compared with the studies on NHVSR inversion, the research on the EHVSR-based inversion methods is relatively rare. In this paper, to make full use of the widely available and constantly accumulating strong-motion observation data, we propose an S-wave HVSR inversion method based on diffuse-field approximation. Herein, the S-wave components of earthquake ground motion recordings are considered as data source. Improvements to the objective function has been achieved in this work. An objective function with the slope term is introduced. The new objective function can mitigate the multisolution phenomenon encountered when working with HVSR curves with multipeaks. Then, a synthetic case is used to show the verification of the proposed method and this method has been applied to invert underground velocity structures for six KiK-net stations based on earthquake observations. The results show that the proposed S-wave EHVSR inversion method is effective for identifying underground velocity structures.
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Neukirch, Maik, Antonio García-Jerez, Antonio Villaseñor, Francisco Luzón, Mario Ruiz, and Luis Molina. "Horizontal-to-Vertical Spectral Ratio of Ambient Vibration Obtained with Hilbert–Huang Transform." Sensors 21, no. 9 (May 10, 2021): 3292. http://dx.doi.org/10.3390/s21093292.

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The Horizontal-to-Vertical Spectral Ratio (HVSR) of ambient vibration measurements is a common tool to explore near surface shear wave velocity (Vs) structure. HVSR is often applied for earthquake risk assessments and civil engineering projects. Ambient vibration signal originates from the combination of a multitude of natural and man-made sources. Ambient vibration sources can be any ground motion inducing phenomena, e.g., ocean waves, wind, industrial activity or road traffic, where each source does not need to be strictly stationary even during short times. Typically, the Fast Fourier Transform (FFT) is applied to obtain spectral information from the measured time series in order to estimate the HVSR, even though possible non-stationarity may bias the spectra and HVSR estimates. This problem can be alleviated by employing the Hilbert–Huang Transform (HHT) instead of FFT. Comparing 1D inversion results for FFT and HHT-based HVSR estimates from data measured at a well studied, urban, permanent station, we find that HHT-based inversion models may yield a lower data misfit χ2 by up to a factor of 25, a more appropriate Vs model according to available well-log lithology, and higher confidence in the achieved model.
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Chávez-García, Francisco J., Miguel Rodríguez, Edward H. Field, and Denis Hatzfeld. "Topographic site effects. A comparison of two nonreference methods." Bulletin of the Seismological Society of America 87, no. 6 (December 1, 1997): 1667–73. http://dx.doi.org/10.1785/bssa0870061667.

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Abstract We present an experimental study of topographic site effects. The data we use come from an experiment carried out during the summer of 1989, in Epire (northern Greece). Ten digital stations recorded a total of 68 small earthquakes. A recent article (Chávez-García et al., 1996) presented a comparison between site effects determined using horizontal-to-vertical spectral ratios (HVSR) for this data set and theoretical modeling. In this note, we compare the topographic site effects determined using HVSR with another, independent, experimental estimate: a generalized inversion scheme (GIS). Neither HVSR nor GIS depend on the availability of a reference site. We obtain a very good agreement between both estimates of topographic site effects for both horizontal components. Our results support the use of HVSR to determine topographic site effects.
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Zuhaera, Andina, Suharno Suharno, and Bagus Sapto Mulyatno. "INVERSI MIKROTREMOR UNTUK PROFILING KECEPATAN GELOMBANG GESER (Vs) DAN MIKOROZONASI KABUPATEN BANDUNG." Jurnal Geofisika Eksplorasi 5, no. 2 (January 17, 2020): 3–14. http://dx.doi.org/10.23960/jge.v5i2.25.

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Bandung Regency is a highland area with a slope between 0 - 8%, 8-15% to above 45%. The district is located at an altitude of 768 m above sea level with the northern region higher than the south. The purpose of this study was to determine the distribution of Vs30 waves and determine the impact of damage due to wave amplification (amplification). To minimize the impact of this earthquake identification can be done including a survey to map soil characteristics in response to earthquake shocks using the seismic Horizontal to Vertical Spectral Ratio (HVSR) method. Based on the results of the study, the distribution of the dominant frequency values, Bandung Regency was identified as having hard and soft rock soil and having solid clay with a thickness of tens of meters. The amplification value in Bandung Regency has a value (0 Ao 6) which can be categorized that Bandung Regency has a small impact on the earthquake. The difference between the results of inversion processing and HVSR is due to the assumption that the layer inversion is heterogeneous and the HVSR layer is homogeneous.
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Perdhana, Radhitya, and Budi Eka Nurcahya. "Seismic microzonation based on microseismic data and damage distribution of 2006 Yogyakarta Earthquake." E3S Web of Conferences 76 (2019): 03008. http://dx.doi.org/10.1051/e3sconf/20197603008.

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The 2006 Yogyakarta earthquake caused an extensive damage to various areas of Yogyakarta regions. The damage distribution indicates the role of local site effects during the earthquake as the damage extended from Bantul Regency in Yogyakarta Province to Klaten Regency in Central Java. Microzonation based on the damage distribution is then carried out using Horizontal-to-Vertical Spectral Ratio (HVSR) technique. From this technique, amplification factor and predominant frequency can be obtained and then spatially mapped. Inversion can also be conducted to the HVSR curves to infer the geological condition of the study area.
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Thomas, Amanda M., Zack Spica, Miles Bodmer, William H. Schulz, and Joshua J. Roering. "Using a Dense Seismic Array to Determine Structure and Site Effects of the Two Towers Earthflow in Northern California." Seismological Research Letters 91, no. 2A (January 8, 2020): 913–20. http://dx.doi.org/10.1785/0220190206.

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Abstract We deployed a network of 68 three-component geophones on the slow-moving Two Towers earthflow in northern California. We compute horizontal-to-vertical spectral ratios (HVSRs) from the ambient seismic field. The HVSRs have two prominent peaks, one near 1.23 Hz and another between 4 and 8 Hz at most stations. The 1.23 Hz resonance is a property of the background noise field and may be due to a velocity contrast at a few hundred meters depth. We interpret the higher frequency peaks as being related to slide deposits and invert the spectral ratios for shallow velocity structure using in situ thickness measurements as a priori constraints on the inversion. The thickness of the shallowest, low-velocity layer is systematically larger than landslide thicknesses inferred from inclinometer data acquired since 2013. Given constraints from field observations and boreholes, the inversion may reflect the thickness of deposits of an older slide that is larger in spatial extent and depth than the currently active slide. Because the HVSR peaks measured at Two Towers are caused by shallow slide deposits and represent frequencies that will experience amplification during earthquakes, the depth of the actively sliding mass may be less relevant for assessing potential slide volume and associated hazard than the thicknesses determined by our inversions. More generally, our results underscore the utility of combining both geotechnical measurements and subsurface imaging for landslide characterization and hazard assessment.
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Sudjono, Dwi Sudarmawan, Udi Harmoko, and Gatot Yuliyanto. "Delineation of Geothermal Manifestation in Sangubanyu Area Based on Microtremor HVSR Method." E3S Web of Conferences 125 (2019): 14012. http://dx.doi.org/10.1051/e3sconf/201912514012.

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The aims of this study is to describe the distribution of P wave velocity and S wave velocity value and Vp/Vs ratio based on microtremor HVSR method and its relationship with the appearance of hot spring at Sangubanyu Village. Geothermal manifestations in the Sangubanyu area are located in Bawang sub-district, Batang regency, and Plantungan sub-district, Kendal regency, Central Java province. HVSR method is used to process microtremor data which produces the dominant frequency value and amplification factor then do inversion on the H/V curve to get the value of the Vp and Vs. The results of the microtremor HVSR processing obtained the distribution of the dominant frequency values in the study area between 0.62 to 0.73 Hz and amplification factor values 1.09 to 1.39, the inversion results on the H/V curve obtained the distribution of Vp values between 131.76 m/s to 2181.19 m/s, Vs values between 76.61 to 1129.42 m/s, Vp/Vs ratio 1.64 – 3.35. Based on the results of the analysis and wave velocity interpretation, the subsurface structure of manifestation area of Sangubanyu is composed of tuffaceous sandstone and volcanic breccia, the normal faults with southern blocks relatively downthrown, that cause the appearance of hot springs.
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Zega, B. N., Z. Zulfakriza, S. Rosalia, and N. T. Puspito. "Seismic Hazard Potential in Yogyakarta Based on HVSR Curve Estimation." IOP Conference Series: Earth and Environmental Science 1047, no. 1 (July 1, 2022): 012028. http://dx.doi.org/10.1088/1755-1315/1047/1/012028.

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Abstract In 2006, the Special Region of Yogyakarta was shaken by a destructive earthquake. The United States Geological Survey (USGS) recorded that the earthquake had a magnitude of 6.3 Mw at a depth of 12.5 km below the surface that was triggered by strike slip fault activity. The severe damage occurred in Bantul district and Klaten district, where the Klaten area location were far from the earthquake epicenter. This proves that the magnitude and the earthquake source distance are not the only parameters for seismic hazard potential, but rather the presence of local site effects and building conditions. The present study aims to determine the characteristics of the soil and estimate the seismic hazard potential by using HVSR method. Horizontal to Vertical Spectral Ratio (HVSR) is one method that can be used to obtain the subsurface information from single station measurements. Furthermore, the inversion of Rayleigh wave ellipticity curve is used to obtain 1-D of shear wave velocity (Vs). The parameters from HVSR calculation and Rayleigh wave inversion were mapped to understand the subsurface structure beneath the Yogyakarta area. Based on the soil classification to Vs, Yogyakarta area is categorized to SD (Stiff soil/soft soil) and SC (Very dense soil and soft rock). The results of the mapping analysis indicated that Bantul district is an area with the highest potential of seismic hazard.
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10

Krylov, Artem A., Mikhail E. Kulikov, Sergey A. Kovachev, Igor P. Medvedev, Leopold I. Lobkovsky, and Igor P. Semiletov. "Peculiarities of the HVSR Method Application to Seismic Records Obtained by Ocean-Bottom Seismographs in the Arctic." Applied Sciences 12, no. 19 (September 23, 2022): 9576. http://dx.doi.org/10.3390/app12199576.

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The application of the horizontal-to-vertical spectral ratio (HVSR) modeling and inversion techniques is becoming more and more widespread for assessing the seismic response and velocity model of soil deposits due to their effectiveness, environmental friendliness, relative simplicity and low cost. Nevertheless, a number of issues related to the use of these techniques in difficult natural conditions, such as in the shelf areas of the Arctic seas, where the critical structures are also designed, remain poorly understood. In this paper, we describe the features of applying the HVSR modeling and inversion techniques to seismic records obtained by ocean-bottom seismographs (OBS) on the outer shelf of the Laptev Sea. This region is characterized by high seismotectonic activity, as well as sparse submarine permafrost distribution and the massive release of bubble methane from bottom sediments. The seismic stations were installed for one year and their period of operation included periods of time when the sea was covered with ice and when the sea was ice-free. The results of processing of the recorded ambient seismic noise, as well as the wave recorder data and ERA5 and EUMETSAT reanalysis data, showed a strong dependence of seafloor seismic noise on the presence of sea ice cover, as well as weather conditions, wind speed in particular. Wind-generated gravity waves, as well as infragravity waves, are responsible for the increase in the level of ambient seismic noise. The high-frequency range of 5 Hz and above is strongly affected by the coupling effect, which in turn also depends on wind-generated gravity waves and infragravity waves. The described seafloor seismic noise features must be taken into account during HVSR modeling and interpretation. The obtained HVSR curves plotted from the records of one of the OBSs revealed a resonant peak corresponding to 3 Hz, while the curves plotted from the records of another OBS did not show clear resonance peaks in the representative frequency range. Since both OBSs were located in the area of sparse distribution of submarine permafrost, the presence of a resonance peak may be an indicator of the presence of a contrasting boundary of the upper permafrost surface under the location of the OBS. The absence of a clear resonant peak in the HVSR curve may indicate that the permafrost boundary is either absent at this site or its depth is beyond the values corresponding to representative seismic sensor frequency band. Thus, HVSR modeling and inversion techniques can be effective for studying the position of submarine permafrost.
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Dissertations / Theses on the topic "HVSR inversion"

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Cipta, Athanasius. "Site and Basin Effects on Seismic Hazard in Indonesia:Sulawesi and Jakarta Case Studies." Phd thesis, 2019. http://hdl.handle.net/1885/161086.

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Earthquakes are among the most costly, devastating and deadly natural hazards. The extent of the seismic hazard is often influenced by factors like the source location and site characteristics, while the susceptibility of assets is influenced by the population density, building design, infrastructure and urban planning. A comprehensive knowledge of the nature of source and local geology enables the establishment of an effective urban planning that takes into account the potential seismic hazard, which in turn may reduce the degree of vulnerability. The first probabilistic seismic hazard assessment (PSHA) incorporating the effects of local site characteristic for the island of Sulawesi in Indonesia has been conducted. Most of the island, with the exception of South Sulawesi, is undergoing rapid deformation. This leads to high hazard in most regions (such that PGA > 0.4g at 500 year return period including site effects) and extremely high hazard (like PGA > 0.8 g at 500 year return period) along fast-slipping crustal fault. On the other hand, a distant site relative to fault might suffer higher ground motion if that site is composed of soft soil. This research has proven that incorporating near-surface physical properties, in this case is represented by VS30, surface geology contribute significantly to ground motions, consequently, responsible for potential building damage. The PSHA study that took place in Sulawesi took us move further, investigate the effect of deep structure on seismic waves. Jakarta was chosen for its location sitting on less known deep sediment basin and economic and political importances. A dense portable-seismic-broadband network, comprising 96 stations, has been operated within four months covering the Jakarta. The seismic network sampled broadband seismic-noise mostly originating from ocean waves and anthropogenic activity. We used Horizontal-toVertical Spectral Ratio (HVSR) measurements of the ambient seismic noise to estimate the fundamental-mode Rayleigh wave ellipticity curves, which were used to infer the seismic velocity structure of the Jakarta Basin. By mapping and modeling the spatial variation of low-frequency (0.124{0.249 Hz) HVSR peaks, this study reveals variations in the depth to the Miocene basement. To map these velocity profiles of unknown complexity, we employ a Transdimensional-Bayesian framework for the inversion of HVSR curves for 1D profiles of velocity and density beneath each station. The inverted velocity profiles show a sudden change of basement depth from 400 to 1350 m along N-S profile through the center of the city, with an otherwise gentle increase in basin depth from south to north. Seismic wave modelings are conducted afterward and shows that for very deep basin of Jakarta, available ground motion prediction equation (GMPE) is less sufficient in capturing the effect of basin geometry on seismic waves. Earrthquake scenario modeling using SPECFEM2D is performed to comprehend the effect of deep basin on ground motions. This modeling reveals that the city may experience high peak ground velocity (PGV) during large megathrust earthquake. The complexity of the basin is responsible for magnifying ground motions observed in the basin.
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Conference papers on the topic "HVSR inversion"

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Martorana, R., P. Capizzi, G. Avellone, R. Siragusa, A. D'Alessandro, and D. Luzio. "Seismic Characterization by Inversion of HVSR Data to Improve Geological Modelling." In Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20142094.

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Gupta, R. K., M. Agrawal, and S. K. Pal. "Inversion of HVSR Curves using Monte-Carlo Global Optimization Technique for Seismic Site Characterization." In 3rd Asia Pacific Meeting on Near Surface Geoscience & Engineering. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202071043.

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Bignardi, Samuel, Simone Fiussello, and Anthony J. Yezzi. "Free and Improved Computer Codes For HVSR Processing and Inversions." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2018. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2018. http://dx.doi.org/10.4133/sageep.31-024.

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