Evaluation of gravitational anomalies in the areas of strongest earthquakes based on GRACE satellite measurements | Научно-инновационный портал СФУ

Evaluation of gravitational anomalies in the areas of strongest earthquakes based on GRACE satellite measurements

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2019

Год издания: 2019

Идентификатор DOI: 10.1016/j.procs.2019.09.334

Ключевые слова: EWH parameter, geoid, GRACE space system, Gravitational field anomalies, satellite data processing, statistical analysis, underwater earthquakes

Аннотация: The paper is devoted to the analysis of the features of the EWH parameter change over the geoid using satellite measurements of the GRACE space system. These local gravitational anomalies are studied depending on the geometrical characteristics of the focal zones of the strongest underwater earthquakes in the period 2003-2016. The statistical processing of satellite observations data using the histogram and maximum entropy methods was performed. Completed interpretation and obtained estimates showing differences and similarities in observational data, due to the peculiarities of the structure of the studied geomedia and the corresponding focal areas. The final result is a statistical description of the space of anomalies of the gravitational field of the Earth as a whole and features of local gravitational anomalies over the focal zones of underwater strong earthquakes in the period from 2003 to 2016. © 2019 The Author(s). Published by Elsevier B.V.

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Издание

Журнал: Procedia Computer Science

Выпуск журнала: Vol. 159

Номера страниц: 1642-1651

ISSN журнала: 18770509

Издатель: Elsevier B.V.

Персоны

  • Zotin A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky rabochy av., Krasnoyarsk, 660037, Russian Federation)
  • Simonov K. (Institute of Computational Modeling SB RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
  • Matsulev A. (Institute of Computational Modeling SB RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation, Institute of Chemistry and Chemical Technology SB RAS, 50/24 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
  • Kurako M. (Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation)

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