A new generation Russian seismic scale

Aptikaev, F. F.; Erteleva, O. O.

doi:10.3103/s0747923917020025

Cited by 12 publications

(14 citation statements)

References 3 publications

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“…In such cases, it is extremely difficult to assign a certain intensity, regardless what particular scale is used. In general, a comparison of the intensity assessments performed with the MSK-64 and EMS-98 scales demonstrates the possibility of using the EMS-98 scale in the conditions of Eastern Siberia, and also confirms the previously drawn conclusions about the compatibility of these two scales (Musson et al 2010 ; Aptikaev and Erteleva 2017 ). In turn, this allows us to expect a relatively easy re-evaluation of the previously collected macroseismic data on earthquakes in Eastern Siberia using modern intensity scales.…”

Section: Discussionsupporting

confidence: 84%

“…The instrumental intensity assessment using recorded PGA values was carried out with the instrumental section of the MMSK-92 scale (Shebalin and Aptikaev 2003 ). The MMSK-92 is among the seismic scales of the Mercalli family (Aptikaev et al 2008 ; Aptikaev and Erteleva 2017 ) and has been used in Russia since the early 1990s along with MSK-64, mostly for instrumental intensity assessment. For comparison, we also used the equation relating intensity and PGA proposed by Caprio et al ( 2015 ).…”

Section: Methodsmentioning

confidence: 99%

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The December 9, 2020, Mw 5.5 Kudara earthquake (Middle Baikal, Russia): internet questionnaire hard test and macroseismic data analysis

Radziminovich

Гилева

Тубанов

et al. 2022

Bull Earthquake Eng

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The article discusses the macroseismic data on the December 9, 2020, M w 5.5 Kudara earthquake which occurred in the Selenga River delta (Middle Baikal, Eastern Siberia, Russia). This is the strongest seismic event in the study area over a 50-year period. The bulk of macroseismic data was obtained with internet questionnaire posted on the website of the Baikal Branch of the Geophysical Survey of the Russian Academy of Sciences. In total, 1433 responses were received from 120 places (villages, towns and cities) in Eastern Siberia, with most of them was obtained from large cities. In addition, a field survey was carried out in the near-field, which revealed slight non-structural damage to buildings in several settlements. The maximum intensity assessed VI–VII MSK-64 or VI EMS-98 was observed in the Kudara village. Taking into account the macroseismic data obtained, we have prepared a map of intensity data points. The largely observed shakings (intensity IV MSK-64/EMS-98) were noted at epicentral distances of over 500 km; intensity II MSK-64/EMS-98 was noted at a distance of up to 980 km. The Kudara earthquake allowed us to test the internet questionnaire in real conditions of strong seismic impact. The results obtained confirm the rather high efficiency of the internet questionnaire in the conditions of the Baikal region, however, some limitations associated with the responses spatial distribution are exist. A detailed study of the Kudara earthquake allowed us to gain new experience useful for the further development of macroseismology in Eastern Siberia.

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Section: Discussionsupporting

confidence: 84%

Section: Methodsmentioning

confidence: 99%

The December 9, 2020, Mw 5.5 Kudara earthquake (Middle Baikal, Russia): internet questionnaire hard test and macroseismic data analysis

Radziminovich

Гилева

Тубанов

et al. 2022

Bull Earthquake Eng

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“…A large quantity of measured values, many of them inevitably will be closely correlated with each other; i.e. a part of parameters will not only carry a considerable information load but also will be coherent with other information (Aptikaev, 1981). Here the parameters re ect main properties of the studied process and is independent among themselves, i.e., a change in one of the parameters should not give rise to appreciable changes in the values of the other parameters.…”

Section: Methodsmentioning

confidence: 99%

“…There are some general criteria of processes parameterization including seismic oscillations. A system of parameterization of seismic records proposed in this study the works is given below (Aptikaev, 1981;Aptikaev, 1985): the estimated parameters re ect the main features of a studied process and in this case it is important from the point of view of calculations of seismic resistance.…”

Section: General Principle Of Parameterizationmentioning

confidence: 99%

Scaling and Integration of site specific fourier spectra, response spectra, design response and ratios of H/V spectra of earthquakes in North-eastern India and vicinity : implication in seismic hazard assessment

Sharma

Baruah

Gogoi

2023

Preprint

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Understanding the behaviour of soil and site in highly seismically active Assam valley, Shillong-Mikir Hills Plateau and Eastern Himalayan Syntaxis of Northeastern India is important for seismic hazard assessment. Constrained by this tectonic interaction, we estimate the ground motion parameters of these tectonic domains through the inversion of 129 three component strong motion records of earthquakes with magnitude Mw>4.0 & Mw<6.0. Remarkably, parameters estimated at 9 different sites help to classify the region into four different site class subjected to magnitude and epicentral distance of the earthquake. Higher spectral acceleration observed at low period in Diphu, Nongstoin, Tezpur and Guwahati infer embedded site condition as rock subjected to removal of source and path effect. On the other, low spectral acceleration at high period in Kokrajhar, Golaghat, Goalpara and Nagaon indicate distinctly thick alluvial basin. Fourier spectrum width in Guwahati, Diphu, Nongstoin and Tezpur, within 2-10 Hz indicate the presence of compact & hard subsurface strata while the broad spectrum width of Kokrajhar, Golaghat, Boko, Nagaon and Goalpara within 0.5 – 10 Hz suggests presence of loose alluvium soil or soft sediments. Simultaneously, site specific response study on 11/08/2009, M5.6 Myanmar-Manipur Border earthquake indicate that high spectral acceleration is evolved due to thrust mechanism. This integrative approach comprising site specific fourier spectra, design response, influence of fault type and horizontal to vertical spectral amplitude ratios offer an unique method to characterize the site in various seismically active regions of the world.

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“…Subsequently, numerous minor revisions were made on this standard. The final product was the 1981 version known as MSK-81, and the structure classification of this version was provided (Aptikaev and Erteleva, 2017; Karnik et al, 1984; Lapajne, 1984). In the 1970s, Liu Huixian summarized the data of seismic damage inflicted by major destructive earthquakes throughout the world and analyzed the relationship among ground-motion parameters and seismic intensity obtained from observations of strong earthquakes (Hu, 2006).…”

Section: Introductionmentioning

confidence: 99%

Comparison of macroseismic-intensity scales by considering empirical observations of structural seismic damage

Chen

2020

Earthquake Spectra

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In practice, seismic intensity is evaluated in accordance with a macroseismic-intensity scale recognized in the field of seismic engineering globally. The application of different seismic-intensity scales to evaluate the seismic damage of a specific structure due to an earthquake yields diverse results. On this basis, this study compared a few extensively used macroseismic-intensity scales. The results can be used as a reference to develop an international intensity scale. According to empirical structural-damage survey data from the Wenchuan earthquake (Mw = 8.0) that occurred on 12 May 2008 in China, the European Macroseismic Scale (EMS)-98, Medvedev, Sponheuer, and Karnik (MSK)-81, and Chinese Seismic Intensity Scale (CSIS)-08 intensity scales were utilized to evaluate the resulting damage. This study carried out a vulnerability analysis of typical structures, established vulnerability seismic-damage matrices, and mapped out vulnerability curves under different intensities. Our objective is to demonstrate that the use of multiple intensity scales can lead to very different intensity levels. The differences in the damage of typical structures under different intensity levels were obtained from an evaluation using the three aforementioned intensity scales. As a result, a calculation model of the mean damage index is proposed herein. Ultimately, this article conducted an analysis on the failure characteristics of typical structures in an earthquake and provided effective measures to improve seismic performance for future reference.

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A new generation Russian seismic scale

Cited by 12 publications

References 3 publications

The December 9, 2020, Mw 5.5 Kudara earthquake (Middle Baikal, Russia): internet questionnaire hard test and macroseismic data analysis

The December 9, 2020, Mw 5.5 Kudara earthquake (Middle Baikal, Russia): internet questionnaire hard test and macroseismic data analysis

Scaling and Integration of site specific fourier spectra, response spectra, design response and ratios of H/V spectra of earthquakes in North-eastern India and vicinity : implication in seismic hazard assessment

Comparison of macroseismic-intensity scales by considering empirical observations of structural seismic damage

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