Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Фундаментальные иссл...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Динамика сейсмического режима и геофизических полей в Южно-Якутском регионе

Динамика сейсмического режима и геофизических полей в Южно-Якутском регионе

Abstract

We have done the analysis of the seismic activity data for the period 2008–2012. In the work included an assessment of the data about developments in the number of seismic events, released seismic energy, distribution parameters by periods. The article shows the graph of lgN(K) for earthquakes K = 11–15 of South-Yakutia region. The resulting observations and data analysis allow to identify potential geophysical forerunner of earthquakes and to define their relationship with seismic activity of the South Yakutia. In other words, reliable forerunner of earthquakes for the rapid assessment of seismic hazard are dedicated. The authors concluded that the anomalous distribution of seismic events in time leads to the possibility of seismic events model constructing when performing the necessary conditions for holding a significant number of experiments to obtain more reliable estimates of random variables of the model. As a result, the comprehensive interpretation of the observed geophysical forerunner, comparison geophysical parameters charts, taking into account the foreshoks allow the approximate place and strength of earthquakes forecasting.

Проведен анализ данных наблюдений сейсмической активности за 2008–2012 годы. Оценены сведения о произошедшем количестве сейсмических событий, выделившейся сейсмической энергии, распределении параметров по периодам. Построен график зависимости lgN(K) для землетрясений K = 11–15 для Южно-Якутского региона. Полученные в результате наблюдений данные и проведенный анализ дают возможность выявить потенциальные геофизические предвестники землетрясений, определить их взаимосвязь с сейсмической активностью Южной Якутии. Выделены надежные предвестники землетрясений для экспресс-оценки сейсмической опасности. Сделан вывод, что аномальное распределение сейсмических событий во времени ведет к возможности построения модели сейсмических событий при выполнении необходимого условия по проведению значительного числа экспериментов с целью получения более надежных оценок случайных переменных модели. Проведение комплексной интерпретации наблюдаемых геофизических предвестников, сопоставление графиков геофизических параметров с учетом предшествующих землетрясениям форшоков, возможно прогнозирование ориентировочного места возникновения и силы землетрясений.

Keywords

ГЕОФИЗИЧЕСКИЕ ПРЕДВЕСТНИКИ, ЗЕМЛЕТРЯСЕНИЯ, СЕЙСМИЧЕСКИЕ СОБЫТИЯ, ВЕРОЯТНОСТЬ

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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