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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Identification of Areas of Anomalous Tremor of the Earth’s Surface on the Japanese Islands According to GPS Dataстатья
- Автор: Lyubushin Alexey
- Журнал: Applied Sciences
- Том: 12
- Год издания: 2022
- Издательство: MDPI
- Местоположение издательства: Basel, Switzerland
- Номер статьи: 7297
- DOI: 10.3390/app12147297
- Аннотация: Statistical properties of Earth surface tremors measured by means of GPS were investigated. This article considers measurements of the Earth’s surface displacements in three orthogonal directions relayed by a network of GPS sensors with about 1200 points distributed across Japan in 2009–2021. Next, the following characteristics of the tremors were considered: the entropy of the distribution of squared orthogonal wavelet coefficients, the entropy of the distribution of power spectrum values, and the spectral index. The anomalous regions of maxima of probability densities of the distribution of extreme values of the tremor statistics were determined: entropy minima and spectral index maxima. The average density maps of the distribution of extreme value tremor statistics were found to be highly correlated with one another. This made it possible to consider a weighted average density map and identify five anomalous regions in the center and south of Japan. A trajectory of visiting anomalous regions by a sequence of points realizing local maxima of the average probability density was obtained, for which seasonal periodicity was set. Estimates of changes in the average and maximum values of the correlation coefficients of tremor properties in an auxiliary network of 16 reference points in a semi-annual time window were obtained.Keywords: GPS tremor; entropy; spectral index; probability density; correlations
- Добавил в систему: Любушин Алексей Александрович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 2. | Полный текст | applsci-12-07297.pdf | 2,4 МБ | 3 августа 2022 [lyubushin] |