Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 65844 10.2205/2023ES000902 ixdubs ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ Spatial Variations of Earthquake Clustering Factor in Japan Пространственные вариации коэффициента группируемости землетрясений (на примере Японии) Цахилова Екатерина Алексеевна Tsakhilova Ekaterina Alekseevna tcakhilova.ea16@physics.msu.ru ФГБУ Институт теории прогноза землетрясений и математической геофизики Российской академии наук Москва Россия Institute of Earthquake Prediction Theory and Mathematical Geophysics Moscow Russian Federation Московский государственный университет имени М.В.Ломоносова Lomonosov Moscow State University 31 12 2023 31 12 2023 23 6 1 15 28 06 2023 21 12 2023 https://rjes.ru/en/nauka/article/65844/view

Cтатья посвящена пространственному распределению средней продуктивности землетрясений основной части Японии за период 2000–2020 гг. Карты были построены с помощью инструмента The Generic Mapping Tools с использованием каталога Японского Метеорологического Агентства для землетрясений глубиной 40 км от поверхности. Речь идет о «коровых» землетрясениях сухопутной части Японии. Были построены карты для периода 2010–2020 гг., где варьировались радиус (25 км, 50 км, 100 км), полнота каталога (1 и 1,5) и ∆𝑀-продуктивность (1 и 2). Для самой показательной карты была проверена устойчивость картины во времени. Также сделана попытка проверить влияние теплового потока на распределение средней продуктивности землетрясений.

The article is devoted to the spatial distribution of the average productivity of earthquakes in the main part of Japan for the period 2000–2020. The maps were generated with The Generic Mapping Tools using the Japan Meteorological Agency catalog for earthquakes 40 km below the surface. We are talking about «crustal» earthquakes on the island part of Japan. Maps were built for the period 2010–2020, where the radius (25 km, 50 km, 100 km), catalog completeness (1 and 1.5) and ∆𝑀-productivity (1 and 2) were varied. For the most indicative map, the stability of the picture in time was checked. An attempt was also made to test the effect of surface heat flux on the distribution of average earthquake productivity.

 Закон продуктивности землетрясений метод ближайшего соседа тепловой поток Япония Earthquake productivity law nearest neighbor method heat flow Japan Работа выполнена при поддержке государственного задания ФГБУ Институт теории прогноза землетрясений и математической геофизики Российской академии наук The work was carried out with the support of the state task of the Federal State Budgetary Institution Institute of the Theory of Earthquake Forecasting and Mathematical Geophysics of the Russian Academy of Sciences

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