2009
DOI: 10.2205/2009es000329
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The implementation of information system elements for interpreting integrated geophysical observations in Kamchatka

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Cited by 7 publications
(3 citation statements)
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“…In both cases, the same methods of processing the observational data were used, including the following activities: The processing of the observational data in well YuZ-5 and construction of time series (for examples, see Figures 2, 3 and 4a, Figures 5b, 3.1 and 7) were carried out using the POLYGON Information System [59], which includes the database for the entire observation time, a program to compensate for barometric variations in the water level/pressure changes [38,40], as well as an interactive graphical interface.…”
Section: Seismo-hydrogeodynamic Effectsmentioning
confidence: 99%
“…In both cases, the same methods of processing the observational data were used, including the following activities: The processing of the observational data in well YuZ-5 and construction of time series (for examples, see Figures 2, 3 and 4a, Figures 5b, 3.1 and 7) were carried out using the POLYGON Information System [59], which includes the database for the entire observation time, a program to compensate for barometric variations in the water level/pressure changes [38,40], as well as an interactive graphical interface.…”
Section: Seismo-hydrogeodynamic Effectsmentioning
confidence: 99%
“…For all four statistical parameters, daily GRD files were created, representing tables of their values at the nodes of a regular grid of 50 × 50 nodes in size, covering the area in the latitude range of 50-64 N and in the longitude range of 155-168 E for the entire observation period. The distribution of each noise statistic over the territory, obtained by interpolating the median values of the parameters from the three stations closest to each node of the grid, was reflected on digital maps created using a geographic information system [44].…”
Section: Visualization Of the Seismic Noise Parameters Distributionmentioning
confidence: 99%
“…Based on the long-term detailed observations of water level variations in the SW-5 well, we identified four types of HGSV arising under the action of seismic waves emitted from the sources of the strong local and remote earthquakes. It has been possible to achieve this result due to the persistent continuity and high accuracy of water level measurements during a long period of time and due to using the specialized software products of the POLYGON Information System (Kopylova et al, 2009) and DIMAS data processing and visualization program (Droznin and Droznina, 2010), which are suitable for analyzing water level changes within a wide time span (from minutes to days and months) and for comparing the identified HGSV with the time of arrival of various groups of seismic waves.…”
Section: Hgsv Typification and Its Validitymentioning
confidence: 99%