The Kekuknai massif was formed in the course of tectono-magmatic activity that involved the origin of a shield volcano and a caldera depression with associated emplacement of extrusions that terminated in intense post-caldera areal volcanism. The mineralogical compositions of the massifs rocks have been considered in detail. The use of previously known and newly developed indicator properties of rock-forming minerals allowed the reconstruction of the general picture of the magmatic melt evolution and conditions of rock crystallization (various fluid and water saturation levels, as well as the oxidation state of the system). Essentially island-arc or intraplate characteristics of the massif s rock compositions are found at different stages of development of a single fluid-magmatic system. Decompression evolution of the parent deep-seated basanitic magma occurred via occurrence in intermediate magma chambers of daughter magmas of trachybasalt (pre-caldera stage) or hawaiite (areal volcanism) composition. Subsequent emanate-magmatic differentiation of these melts, combined with crystallization differentiation under changing P-T-f0l conditions, resulted in the formation of the entire diversity of the Kekuknai rocks

Abstract—We discuss the water!level variations in the E!1 well for the time period between May 2006 and
2010, inclusive. A trend towards an increasing level at an abnormally high rate occurred from mid!2006 to
December 2009. This increase is regarded as the response of the aquifer of gas!saturated ground water that
exists in the volcanogenic–sedimentary deposits of the Avacha volcano!tectonic depression to volumetric
strain changes during the precursory period and the occurrence of a swarm of small earthquakes ( = 8.3)
in the area of Koryakskii Volcano and to its phreatic eruption. We estimated the volumetric compression as
Δε = –(4.1 × 10–6–1.5 × 10–5) from the amplitude of water!level rise using the elastic parameters of the wa!
ter!saturated rocks. While the strain source was active, we observed a decreasing sensitivity of the hydrologic
regime in the well to the precursory processes before large (M ≥ 5.0) tectonic earthquakes.

On the territory of the Russian Far East, there are dozens of active volcanoes, requiring continuous attention of scientists for analysis and control of their condition. To provide solutions of various scientific problems, different information systems were implemented. However, disunity of information systems and limited data exchange between them limit the possibility of carrying out complex studies. This may result in disastrous consequences for the population and different fields of people's activities. The article describes the developed service-oriented software interface that implements interaction between the main existing information systems. The mutual use of accumulated sets of scientific data and processing instruments improves research and operational monitoring of the state of volcanoes in Kamchatka and Northern Kuriles.

Based on computer vision and machine learning methods, algorithms have been developed to classify images from fixed video cameras, as well as detect signs of volcanic activity in them. The results of testing the developed algorithms are presented using the example of observation data on the Klyuchevskoy and Sheveluch volcanoes. It is shown that the proposed solutions can be used for operational and retrospective monitoring of volcanic activity.