gtcrustГеодинамика и тектонофизикаGeodynamics & Tectonophysics2078-502XInstitute of the Earth's crust of the Russian Academy of Sciences, Siberian Branch10.5800/GT-2019-10-2-0425gtcrust-852Research ArticleСОВРЕМЕННАЯ ГЕОДИНАМИКАRECENT GEODYNAMICSХАРАКТЕРИСТИКИ САМОПОДОБИЯ СЕЙСМИЧНОСТИ И РАЗЛОМНОЙ СЕТИ СИХОТЭ‐АЛИНЬСКОГО ОРОГЕННОГО ПОЯСА И ПРИЛЕГАЮЩИХ ТЕРРИТОРИЙCHARACTERISTICS OF SELF‐SIMILARITY OF SEISMICITY AND THE FAULT NETWORK OF THE SIKHOTE ALIN OROGENIC BELT AND THE ADJACENT AREAShttps://orcid.org/0000-0002-8888-4239ЗахаровВ. С.ZakharovV. S.

Геологический факультет Московского государственного университета им. М.В. Ломоносова119991, Москва, Ленинские Горы, 1, 141982, Дубна, ул. Университетская, 19

Vladimir S. Zakharov - Doctor of Geology and Mineralogy, Professor

Faculty of Geology M.V. Lomonosov Moscow State University

1 Leninskie Gory, GSP-1, Moscow 119991, 

19 Universitetskaya street, Dubna 141982

zakharov@geol.msu.ruhttps://orcid.org/0000-0003-4249-3985ДиденкоА. Н.DidenkoA. N.

Алексей Николаевич Диденко - доктор геолого-минералогических наук, член-корреспондент РАН, главный научный сотрудник

680000, Хабаровск, ул. Ким Ю Чена, 65, 

680035, Хабаровск, ул. Тихоокеанская, 136

Aleksei N. Didenko - Doctor of Geology and Mineralogy, Corresponding Member of RAS, Chief Researcher

65 Kim Yu Chen street, Khabarovsk 680000, 136 Tikhookeanskaya street, Khabarovsk 680035

itig@itig.as.khb.ruhttps://orcid.org/0000-0003-1382-9742ГильмановаГ. З.Gil’manovaG. Z.

Гульшат Забировна Гильманова - кандидат геолого-минералогических наук, старший научный сотрудник, заведующая группы ГИС

680000, Хабаровск, ул. Ким Ю Чена, 65

Gul’shat Z. Gil’manova - Candidate of Geology and Mineralogy, Senior Researcher, Head of GIS Department

65 Kim Yu Chen street, Khabarovsk 680000

gigulya@yandex.ruhttps://orcid.org/0000-0003-1283-5032МеркуловаТ. В.MerkulovaT. V.

Татьяна Владимировна Меркулова - кандидат геолого-минералогических наук, ведущий научный сотрудник

680000, Хабаровск, ул. Ким Ю Чена, 65

Tatiana V. Merkulova - Candidate of Geology and Mineralogy, Lead Researcher

65 Kim Yu Chen street, Khabarovsk 680000

merculova@itig.as.khb.ruМосковский государственный университет им. М.В. Ломоносова; Государственный университет «Дубна»РоссияM.V. Lomonosov Moscow State University; Dubna State UniversityRussian FederationИнститут тектоники и геофизики им. Ю.А. Косыгина ДВО РАН; Тихоокеанский государственный университетРоссияYu.A. Kosygin Institute of Tectonics and Geophysics, Far East Branch of RAS; Pacific National UniversityRussian FederationИнститут тектоники и геофизики им. Ю.А. Косыгина ДВО РАНРоссияYu.A. Kosygin Institute of Tectonics and Geophysics, Far East Branch of RASRussian Federation201924062019102541559Copyright © Захаров В.С., Диденко А.Н., Гильманова Г.З., Меркулова Т.В., 20192019Захаров В.С., Диденко А.Н., Гильманова Г.З., Меркулова Т.В.Zakharov V.S., Didenko A.N., Gil’manova G.Z., Merkulova T.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.gt-crust.ru/jour/article/view/852

Проведен комплексный анализ характеристик самоподобия сейсмичности и сети разломов в пределах Сихотэ‐Алиньского орогенного пояса и прилегающих территорий. Установлено, что основные осо‐ бенности сейсмичности определяются коровыми землетрясениями. Дифференциация исследуемой территории по плотности эпицентров и величине фрактальной размерности поля эпицентров (De) показывает, что наиболее активные участки земной коры связаны с Харпийско‐Курско‐Приамурской зоной, с северной частью Буреинского массива и Монголо‐Охотской складчатой системой. Анализ значений наклона графика повторяемости землетрясений (b) показывает, что наибольшие его величины соответствует районам наибольшей сейсмической активности: северной части Буреинского массива и, в меньшей степени, – Монголо‐Охотской системе. Повышенные значения фрактальной размерности разломной сети (Df) соответствуют складчатым системам (Сихотэ‐Алиньской и Монголо‐Охотской), а пониженные – впадинам и прогибам (Среднеамурская, Удский и Торомский). Сопоставление результатов фрактального анализа сети разломов с данными по современному напряженно‐деформированному состоянию показывает их общую приуроченность к областям интенсивного современного сжатия. Соответствие поля параметра b для верхнекоровых землетрясений и поля размерности сети разломов Df указывает на общую согласованность самоподобного распределения магнитуды (энергии) землетрясений и фрактального распределения размеров разрывных нарушений. Полученные результаты показывают, что параметры самоподобия являются важной количественной характеристикой в сейсмотектонике и могут использоваться при неотектоническом и геодинамическом анализе.

We performed a comprehensive analysis of the characteristics of self‐similarity of seismicity and the fault network within the Sikhote Alin orogenic belt and the adjacent areas. It has been established that the main features of seismicity are controlled by the crustal earthquakes. Differentiation of the study area according to the density of earthquake epicenters and the fractal dimension of the epicentral field of earthquakes (De) shows that the most active crustal areas are linked to the Kharpi‐Kur‐Priamurye zone, the northern Bureya massif and the Mongol‐Okhotsk folded system. The analysis of the earthquake recurrence plot slope values reveals that the highest b‐values correlate with the areas of the highest seismic activity of the northern part of the Bureya massif and, to a less extent, of the Mongol‐Okhotsk folded system. The increased fractal dimension values for the fault network (Df) correlate with the folded systems (Sikhote Alin and Mongol‐Okhotsk), while the decreased values conform to the depressions and troughs (Middle Amur, Uda and Torom). A comparison of the fractal analysis results for the fault network with the recent stress‐strain data gives evidence of their general confineness to the contemporary areas of intense compression. The correspondence between the field of the parameter b‐value for the upper crustal earthquakes and the fractal dimension value for the fault network (Df) suggests a general consistency between the self‐similar earthquake magnitude (energy) distribution and the fractal distribution of the fault sizes. The analysis results demonstrate that the selfsimilarity parameters provide an important quantitative characteristic in seismotectonics and can be used for the neotectonic and geodynamic analyses.

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The authors declare that there are no conflicts of interest present.