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Моделирование афтершоковых процессов сильных землетрясений Камчатки

Моделирование афтершоковых процессов сильных землетрясений Камчатки

Abstract

Работа посвящена моделированию афтершоковых процессов на Камчатке и прилежащей акватории за период 1990–2008 гг. с целью прогнозирования афтершоковой активности. Моделирование проводилось с помощью релаксационных и триггерных моделей. Показано, что прогнозирование c помощью ETAS-модели по данным за предшествующие моменты времени дает приемлемую точность. Данный подход может быть использован в работе центров сейсмологического мониторинга при оценивании афтершоковой активности в первые дни после сильного землетрясения.

The paper is devoted to the modeling of aftershock processes of Kamchatka Peninsula and the adjacent areas for the period of 1990–2008 in order to forecast the aftershock activity. The modeling was conducted using relaxation and trigger models. It was shown that forecasting by means of ETAS-model based on the data for the previous moments of time gives an acceptable accuracy. This approach can be used by seismic monitoring centers during the fi rst days after a strong earthquake.

Keywords

КАМЧАТКА, СЕЙСМИЧНОСТЬ, АФТЕРШОКИ, МОДЕЛИРОВАНИЕ, ПРОГНОЗИРОВАНИЕ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold