Доклады Академии наукДоклады Академии наук0869-5652The Russian Academy of Sciences1870110.31857/S0869-56524894419-423Research ArticleTsunami hazard mapping methodology and its implementation for the Far Eastern coast of the Russian FederationShokinYu. I.<p>Academician of the Russian Academy of Sciences</p>chubarov@ict.nsc.ruGusiakovV. K.chubarov@ict.nsc.ruKikhtenkoV. A.chubarov@ict.nsc.ruChubarovL. B.chubarov@ict.nsc.ruInstitute of Computational Technologies, Siberian Branch of the Russian Academy of SciencesInstitute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of the Russian Academy of Sciences1012201948944194231512201915122019Copyright © 2019, Russian academy of sciences2019<p class="a"><span lang="EN-US">The overview maps of tsunami hazard for the Far East coast of Russian Federation are created. The methodological basis of the PTHA (Probabilistic Tsunami Hazard Assessment) approach are discussed, as well as the problems of constructing seismotectonic models of the main tsunamigenic zones, mathematical models and algorithms for calculating probability estimates of tsunami hazard, and some problems of applying the RTHA methodology both related to the lack of observation data and with the complexity of performing a large amount of scenario calculations. Examples of overview tsunami hazard maps for various recurrence intervals, constructed using the PTHA methodology and presented using the WTMap application, are given.</span></p>tsunami hazardtsunami zoningtsunamigenic zonesseismotectonic modelsrecurrenceprobabilistic assessmentsPTHAMonte Carlo methodscenario modelingцунамиопасностьцунамигенная зонасейсмотектоническая модельрайонированиеповторяемостьвероятностная оценкаРТНАметод Монте-Карлосценарное моделирование[Power W., Downes G. Tsunami Hazard Assessment. Volcanic and Tectonic Hazard Assessment for Nuclear Facilities / C. Connor. N. Chapman, L. Connor (Eds). Cambridge Univ. Press, 2009. P. 276-306. DOI: 10.1017/CBO9780511635380.012.][Knighton J., Bastidas L. A Proposed Probabilistic Seismic Tsunami Hazard Analysis Methodology // Nat. Hazards. 2015. V. 78. P. 699-723. DOI: 10.1007/s11069-015-1741-7.][Grezio A., Babeyko A., Baptista M.A., et al. Probabilistic Tsunami Hazard Analysis: Multiple Sources and Global Applications // Rev. of Geophysics. 2017. V. 55. P. 1158-1198. DOI: 10.1002/2017RG000579.][Гусяков В.К. Цунами на Дальневосточном побережье России: историческая перспектива и современная проблематика // Геология и геофизика. 2016. № 9. С. 1601-1615. DOI: 10.15372/GiG20160901.][Shokin Yu.I, Babailov V.V., Beisel S.A., et al. Mathematical Modeling in Application to Regional Tsunami Warning Systems Operations // Comput. Sci. and High Perform. Computing III: Notes on Numerical Fluid Mechanics and Multidisciplinary Design / E. Krause, Yu.I. Shokin, M. Resch, N. Shokina (Eds). V. 101. B.: Heidelberg: Springer-Verlag, 2008. P. 52-68. DOI: 10.1007/978-3-540-69010-8_6.][MacCormack R.W. The Effect of Viscosity in Hypervelocity Impact Cratering // J. Spacecraft and Rockets. 2003. V. 40. № 5. P. 757-763. DOI: 10.2514/2.6901.][Okada Y. Surface Deformation due to Shear and Tensile Faults in a Half Space // Bulletin of the Seismological Society of America. January 1992. № 82 (2). Р. 1018-1040. DOI: 10.1016/0148-9062(86)90674-1.][Лобковский Л.И., Сорохтин О.Г. Деформация литосферных плит в зонах поддвига // Океанология. Геофизика океана. Т. 2. Геодинамика. М.: Наука, 1979. C. 194-203.][HTDB/WLD (Historical Tsunami Database for the World Ocean), 2000 ВС to Present, Tsunami Laboratory, ICMMG SB RAS, Novosibirsk, 2018. http://tsun.sscc.ru/nh/tsunami.php][Интегрированная информационная система конструирования обзорных карт цунамирайонирования побережий с использованием исторических и расчетных данных / В.А. Кихтенко, В.К. Гусяков, Л.Б. Чубаров. Свидетельство о гос. регистрации программы для ЭВМ 2017618398. 2017. https://wtmap.dokku.lesemc.nsc.ru/]