Detecting underground cavities using microtremor data: physical modelling and field experiment

Kolesnikov, Yu. I.; Fedin, Konstantin

doi:10.1111/1365-2478.12540

Cited by 30 publications

(14 citation statements)

References 27 publications

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“…In conclusion, let us note some disadvantages and limitations of the passive seismic standing waves method considered in the application of detecting and mapping underground voids. As it was shown earlier on the results of physical modelling (Kolesnikov and Fedin, 2018), the curvature of the upper boundaries of the underground cavities can lead to some underestimation of the obtained estimates of their horizontal dimensions. This remark fully applies to our results since the roofs of passages and grottoes of caves in most cases have a rather complex shape.…”

Section: Cave Mapping Results and Discussionmentioning

confidence: 72%

“…(ii) Microtremor spectrum contains frequency components corresponding to these natural frequencies. If this is the case, then, as shown in Kolesnikov and Fedin (2018), the accumulation of amplitude spectra of a large number of noise records makes it possible to determine the frequencies of standing waves generated by microtremor in the space between the earth's surface and an underground hollow object.…”

Section: J U S T I F I Cat I O N O F T H E Cav E M a P P I N G M E T mentioning

confidence: 99%

“…Physical modeling results (Kolesnikov and Fedin, 2018) have shown that standing wave amplitudes can also be used to map underground cavities, although these amplitudes, unlike frequencies, can strongly depend on the spectral composition of microseismic noise. In this paper, we did not analyse the amplitude characteristics of standing waves, since the measurements were carried out for about 10 days in changing weather conditions, so the spectral composition of microseismic noise could change significantly over time.…”

Section: Figurementioning

confidence: 99%

“…Nevertheless, the question of finding reliable methods for identifying and mapping underground cavities remains relevant at the present time. Based on the results of physical modelling and a field experiment, Kolesnikov and Fedin (2018) have shown that it is possible to determine the frequencies of standing waves generated by noise (microtremor) in the space between the earth's surface and the upper boundary of underground hollow objects. This can be done using seismic noise records.…”

Section: Introductionmentioning

confidence: 99%

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Mapping of underground cavities by the passive seismic standing waves method: the case study of Barsukovskaya cave (Novosibirsk region, Russia)

Fedin

Kolesnikov

Ngomayezwe

2020

Geophysical Prospecting

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This article presents the results of mapping a karst cave by the passive seismic standing waves method. Barsukovskaya cave is located about 100 km southeast of the city of Novosibirsk (Russia). The total length of the cave's passages and grottoes is estimated at about 200 m, the maximum depth from the earth's surface is about 19 m. The method for studying underground cavities used is based on the effect of the generation of standing waves by microtremor in the space between the earth's surface and the cave roof. The accumulation of amplitude spectra of a large number of microtremor records makes it possible to determine the frequencies of the first few modes of these waves. Areal passive seismic survey on the earth's surface above the cave made it possible to construct a map of the lowest mode frequency distribution over the cave roof. Since no standing waves were observed at other points, this map reflects the cave structure in plan, which confirms the comparison with the cave diagram drawn up earlier by one of the speleologists. A schematic map of the depth of the cave roof was constructed using the longitudinal wave velocity V p = 3120 m/s determined by the rock samples selected near the entrance to the cave. This map at a qualitative level also agrees with the data of speleologists, which indicate that the cave, on average, gradually becomes deeper from the entrance to its dead-end branches. The shallower depths in comparison with the data of speleologists are apparently explained by a very low estimate of the velocity determined from a rock sample taken near the entrance to the cave. The reliability of the obtained cave mapping results is confirmed by the numerical simulation results using the finite-element method.

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Section: Cave Mapping Results and Discussionmentioning

confidence: 72%

Section: J U S T I F I Cat I O N O F T H E Cav E M a P P I N G M E T mentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mapping of underground cavities by the passive seismic standing waves method: the case study of Barsukovskaya cave (Novosibirsk region, Russia)

Fedin

Kolesnikov

Ngomayezwe

2020

Geophysical Prospecting

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“…It is used to determine the fundamental site resonance frequency, which can be used to estimate the sediment thickness and depth to bedrock in a tabular medium (Lane et al 2008;Lontsi et al 2015). Recently, Kolesnikov & Fedin (2018) have applied the H/V method for the underground cavities detection by using body waves. The distribution of frequencies and amplitudes of extracted standing waves in the space between the ground surface and the upper face of the cavity enables to determine cavity's boundaries.…”

Section: Discussion a N D P E R S P E C T I V E Smentioning

confidence: 99%

New robust observables on Rayleigh waves affected by an underground cavity: from numerical to experimental modelling

Filippi

Leparoux²,

Grandjean

et al. 2019

Geophysical Journal International

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The investigation and monitoring of shallow hazards due to the presence of underground cavities remain a challenge for geophysical approaches. Thus, seismic surface waves have been tested in several recent research projects in order to detect and localize voids as well as to determine their geometries. Among these works, numerous numerical studies have proved the feasibility of Rayleigh waves to detect cavities. However, most imagery processes adapted to R waves are faced with difficulties when applying them to real data. This limitation points to a major problem: the interactions between Rayleigh waves and a cavity are complex, particularly in the case of dispersing and attenuating surrounding media. Here, a combined approach based on numerical and experimental data obtained in a reduced-scale measurement bench is conducted to better understand the seismic wave propagation phenomena involved in the presence of a cavity and define robust observables that can be used in field measurements. The observables bearing the cavity signature are studied qualitatively and quantitatively on numerical and experimental recordings. The latter take into account all the propagation phenomena involved. The observations are carried out on the vertical and horizontal component of the Rayleigh wave displacement. The selected observables are studied depending on nondimensional cavity's parameters versus the frequency, that is the wavelength-to-size ratio and the wavelength-to-depth ratio. The effects of the cavity's parameters on the observables show particularities as a function of these components, such as a higher rate of the amplitude on the horizontal component as well as a perturbation of the direct seismic surface wave amplitude above the cavity, also higher on the horizontal component. This latter feature is particularly visible on the variation of the elliptical particle motion recorded at the surface. It can be linked to the mode conversions that occur in the vicinity of the cavity and which predominate on the horizontal component when the signal is normalized.

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Monitoring of the hydraulic units operation of the Sayano‐Shushenskaya hydroelectric power plant using remote seismic observations

Gromyko

Fedin

Seleznev

et al. 2022

Earthq Engng Struct Dyn

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After a major accident in August 2009 at the Sayano‐Shushenskaya Hydroelectric Power Plant (SS HPP), all 10 hydroelectric units (HU) with a total capacity of 6400 MW failed. After investigating the causes of the accident and the reconstruction of the hydroelectric power plant, there was to develop a methodology for monitoring the operation of the newly commissioned HU. For inspection, a method was developed based on monitoring the natural frequencies of the dam structures and forced vibrations caused by the operation of the equipment. The article presents the main results of this study. Within the framework of the proposed approach, monitoring was carried out at various observation points of the dam structures and the turbine hall, as well as on a network of remote seismic stations. Based on the data recorded since 2009, an assessment of the parameters of dynamic impacts arising from the operation of hydraulic units of various types in different load modes on the elements of the HPP structure was carried out, and cause‐and‐effect relationships between changes in the operating modes of equipment and recorded vibrations in dam structures were investigated. An estimate of the general level of vibrations during the operation of various types of hydraulic units is given. As a result, the operating modes of hydraulic units are determined, in which there is a multiple increase in the amplitude of natural vibrations of the dam, an assessment of the operational characteristics of hydraulic units is given, taking into account the impact of seasonal conditions and changes in the water level in the reservoir.

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Detecting underground cavities using microtremor data: physical modelling and field experiment

Cited by 30 publications

References 27 publications

Mapping of underground cavities by the passive seismic standing waves method: the case study of Barsukovskaya cave (Novosibirsk region, Russia)

Mapping of underground cavities by the passive seismic standing waves method: the case study of Barsukovskaya cave (Novosibirsk region, Russia)

New robust observables on Rayleigh waves affected by an underground cavity: from numerical to experimental modelling

Monitoring of the hydraulic units operation of the Sayano‐Shushenskaya hydroelectric power plant using remote seismic observations

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