METADATA IN ENGLISH

About the journal

SEISMICHESKIE PRIBORY, ISSN: 0131-6230, eISSN: 2312-6965, DOI: 10.21455/si,

http://elibrary.ru/title_about.asp?id=25597

English Translation: Seismic Instruments, ISSN: 0747-9239 (Print) 1934-7871 (Online),

https://link.springer.com/journal/11990

Statistical analysis of precision water level data
observations in a seismically active region
(on example of the YuZ-5 well, Kamchatka)

G.N. Kopylova 1, A.A. Lyubushin 2, S.V. Boldina 1

1 Kamchatka branch of Geophysical Survey of the Russian Academy of Sciences, Petropavlovsk-Kamchatsky, Russia

2 Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences,

Moscow, Russia

 Corresponding author: G.N. Kopylova, e-mail: gala@emsd.ru

Abstract. The results of statistical analysis of the long-term time series of the water level observations in the YuZ-5 well located on the territory of the Petropavlovsk geodynamic site, Kamchatka, are presented. The used data from 27.07.2012 to 01.02.2018 are noteworthy for their detail (the interval of the level and atmospheric pressure registration was 5 minutes, the sensitivity of the water level recording ±0.1 cm, atmospheric pressure – ±0.1 hPa), and the fact that five strong earthquakes with Mw=6.5–8.3 occurred on epicentral distances de=80–700 km during the observations. A good study of the hydrodynamic regime of the observation well over a long period and the high quality of the data observations in conjunction with data on strong seismic events allow us to consider the possibility of using the formalized statistical methods of water level data processing for diagnostics of abnormal conditions of the observed object. As a result of the application of factor and cluster analysis to the sequence of multidimensional vectors of statistical properties of a time series of the water level data in successive time windows in one day after adaptive compensation of atmospheric pressure, four different statistically significant states of the time series were distinguished, between which switching occurs in the time. Geophysical interpretation of the allocated “anomalous” condition of the water level time series is carried out in comparison with the strong earthquakes, the technical actions in the observation well and seasonal features of the hydrodynamic regime of the observation well. It is shown that the presented method of water level data processing can find application in the field of geophysical monitoring and prediction of earthquakes.

Keywords: well, water level, earthquake, precursor, Kamchatka, time series, adaptive filtration, factor analysis, cluster analysis

About the authors

KOPYLOVA Galina Nikolaevna – Doctor of Geological and Mineralogical Sciences, docent, Chief scientist, Head of the laboratory, Kamchatka Branch of Geophysical Survey RAS (KB GS RAS), 683006, Russia, Petropavlovsk-Kamchatsky, 9 Piip Boulevard. Tel: 8(4152)431849. e-mail: gala@emsd.ru

LYUBUSHIN Alexey Alexandrovich – Doctor of Physical and Mathematical Sciences, professor, Chief scientist, Head of the laboratory, Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences, 123242, Russia, Moscow, Bolshaya Gruzinskaya str., 10-1. Tel: 8(499)254-23-50. e-mail: lyubushin@yandex.ru

BOLDINA Svetlana Vasil’evna – Candidate of Geological and Mineralogical Sciences, Senior scientist, Kamchatka Branch of Geophysical Survey RAS (KB GS RAS), 683006, Russia, Petropavlovsk-Kamchatsky, 9 Piip Boulevard. Tel: 8(4152)431835. e-mail: boldina@emsd.ru

Cite this article as: Kopylova G.N., Lyubushin A.A., Boldina S.V. Statistical analysis of precision water level data observations in a seismically active region (on example of the YuZ-5 well, Kamchatka). Seismicheskie Pribory, 2019, Vol. 55, no. 1, pp. 5–28. [in Russian]. https://doi.org/10.21455/si2019.1-1

English translation of the article will be published in Seismic Instruments, ISSN: 0747-9239 (Print) 1934-7871 (Online), https://link.springer.com/journal/11990), 2020, Volume 56, Issue 1.