Abstract
The study focuses on improving the methodology and technology of detailed seismic zoning of the Sakhalin region and adjacent areas. A new regional GMPE (ground motion prediction equation) model derived from instrumental data of accelerometer and seismometer networks are considered, as well as imported new-generation advanced (NGA 2) models. The results of probabilistic seismic hazard analysis (PSHA) for Yuzhno-Sakhalinsk has made it possible to compare the hazard curves of physical parameters produced by different attenuation models. The advantages and disadvantages of the regional GMPE model are discussed based on this comparison. Practical recommendations are given.
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REFERENCES
Abrahamson, N.A. and Silva, W., Summary of the Abrahamson & Silva NGA ground-motion relations, Earthquake Spectra, 2008, vol. 24, no. 1, pp. 67–97.
Abrahamson, N.A., Silva, W.J., and Kamai, R., Summary of the ASK14 ground motion relation for active crustal regions, Earthquake Spectra, 2014, vol. 30, no. 3, pp. 1025–1055. https://doi.org/10.1193/070913EQS198M
Aguilar-Meléndez, A., Ordaz Schroeder, M.G., De la Puente, J., González Rocha, S.N., Rodriguez Lozoya, H.E., Córdova Ceballos, A., García Elías, A., Calderón Ramón, C.M., Escalante Martínez, J.E., Laguna Camacho, J.R., and Campos Rios, A., Development and validation of software CRISIS to perform probabilistic seismic hazard assessment with emphasis on the recent CRISIS2015, Comput. Sist., 2017, vol. 21, no. 1, pp. 67–90.
Aleshin, A.S., Kontinual’naya teoriya seismicheskogo mikroraionirovaniya (Continuum Theory of Seismic Microzoning), Moscow: Nauchnyi mir, 2017.
Boore, D.M. and Atkinson, G.M., Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s, Earthquake Spectra, 2008, vol. 24, no. 1, pp. 99–138. https://doi.org/10.1193/1.2830434
Boore, D.M., Stewart, J.P., Seyhan, E., and Atkin-son, G.M., NGA-West 2 equations for predicting PGA, PGV, and 5%-damped PSA for shallow crustal earthquakes, Earthquake Spectra, 2014, vol. 30, no. 3, pp. 1057–1085. https://doi.org/10.1193/070113EQS184M
Cornell, C.A., Engineering seismic risk analysis, Bull. Seismol. Soc. Am., 1968, vol. 58, pp. 1583–1606.
Explanatory note on the GSZ-2016 maps set of general seismic zoning of the Russian Federation territory, Inzh. Izyskaniya, 2016, no. 7, pp. 49–121.
Grünthal, G., Stromeyer, D., Bosse, C., Cotton, F., and Bindi, D., The probabilistic seismic hazard assessment of Germany—version 2016, considering the range of epistemic uncertainties and aleatory variability, Bull. Earthquake Eng., 2018, vol., 16, no. 10, pp. 4339–4395. https:// doi.org/https://doi.org/10.1007/s10518-018-0315-y
Gusev, A.A., On the principles of mapping regions of seismic hazard in Russian Federation and normalization of seismic effects in terms of seismic accelerations. Part 1, Inzh. Izyskaniya, 2011a, no. 10, pp. 20–29.
Gusev, A.A., On the principles of mapping regions of seismic hazard in Russian Federation and normalization of seismic effects in terms of seismic accelerations. Part 2, Inzh. Izyskaniya, 2011b, no. 11, pp. 66–77.
Idriss, I.M., An NGA empirical model for estimating the horizontal spectral values generated by shallow crustal earthquakes, Earthquake Spectra, 2008, vol. 24, no. 1, pp. 217–242. https://doi.org/10.1193/1.2924362
Konovalov, A.V., Probabilistic seismic hazard analysis. https://habrahabr.ru/post/346734/. Accessed December 15, 2018.
Konovalov, A.V., Nagornykh, T.V., and Safonov, D.A., Sovremennye issledovaniya mekhanizmov ochagov zemletryasenii o. Sakhalin (Contemporary Studies of Focal Mechanisms of Sakhalin Island Earthquakes), Kozhurin, A.I., Ed., Vladivostok: Dal’nauka, 2014.
Konovalov, A.V., Manaichev, K.A., Stepnov, A.A., and Gavrilov, A.V., Regional model of attenuation of strong ground motions for Sakhalin Island, Vopr. Inzh. Seismol., 2018, vol. 45, no. 1. pp. 19–30. https://doi.org/10.21455/VIS2018.1-2
Levin, B.W., Kim, Ch.U., and Solovjev, V.N., A seismic hazard assessment and the results of detailed seismic zoning for urban territories of Sakhalin Island, Russ. J. Pac. Geol., 2013, vol. 7, no. 6, pp. 455–463.
Lin, T. and Baker, J.W., Probabilistic seismic hazard deaggregation of ground motion prediction models, 5th International Conference on Earthquake Geotechnical Engineering, Santiago, Chile, 2011.
Pagani, M., Hao, K.X., Fujiwara, H., Gerstenberger, M., and Ma, K.F., Appraising the PSHA earthquake source models of Japan, New Zealand, and Taiwan, Seismol. Res. Lett., 2016, vol. 87, no. 6, pp. 1240–1253. https://doi.org/10.1785/0220160101
Peretokin, S.A., Some aspects of probabilistic seismic hazard assessment using empirical dependences, Inzh. Izyskaniya, 2016, no. 7, pp. 39–48.
Villani, M., Faccioli, E., Ordaz, M., and Stupazzini, M., High-resolution seismic hazard analysis in a complex geological configuration: The case of the sulmona basin in Central Italy, Earthquake Spectra, 2014, vol. 30, no. 4, pp. 1801–1824. https://doi.org/10.1193/1112911EQS288M
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Konovalov, A.V., Sychov, A.S., Manaychev, K.A. et al. Testing of a New GMPE Model in Probabilistic Seismic Hazard Analysis for the Sakhalin Region. Seism. Instr. 55, 283–290 (2019). https://doi.org/10.3103/S0747923919030095
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DOI: https://doi.org/10.3103/S0747923919030095