Выполнены морфоструктурные, геологические, геофизические и газогеохимические исследования на восточном склоне хребта Вернадского, прилегающем к г. Северо-Курильску (о. Парамушир). Показано строение участков локализации близповерхностных и глубинных термальных вод. Полученные данные имеют принципиальное значение для создания концептуальной и разведочной моделей Северо-Курильского геотермального месторождения и понимания механизмов формирования современной рудной минерализации в недрах гидротермально-магматической конвективной системы.

Based on the integrated investigation, the authors obtained data on granulometric, chemical and mineral composition of ashes from the March — April, 2017 Kambalny Volcano eruption.
The data showed that the ash is resurgent, and it consists of the hydrothermally altered andesites from the Kambalny Ridge being the volcano bedding rocks. The authors suggest that the seismic build-up prior to the eruption and the 2017 explosive eruption were caused by the renewed gas-and-hydrothermal processes in the basement rocks of the Kambalny Ridge.

The article provides the analysis of the published data on anomalies of iridium and other platinum-group elements (PGE) at different Phanerozoic stratigraphical levels and gives evidences of heterogeneity of these anomalies and arguments of different authors about their relation with impact, volcanic, paleoclimatic and biotic events. Most of iridium anomalies coincide with large extinctions of sea organisms. The authors revealed in Cretaceous paleoceanic deposits of Eastern Kamchatka (Kamchatsky Mys peninsula) PGE anomalies at two levels corresponding to oceanic anoxic events OAE2 and MCE.

The authors studied siliceous limestones from the Vetlovsky complex of the Vakhil rise (Eastern Kamchatka). The paper provides their lithological and geochemical characteristic. The new limestones were compared with the previously studied limestones from the Albian-Cenomanian Smagin association of the Kamchatsky Mys peninsula, as well as with Cretaceous carbonates from the Pacific underwater rises. Limestones from the Vetlovsky complex deposited in the pelagic environments at low sedimentation rates, and under oxidizing conditions. Terrigenous input in deposits was insignificant. According to the geochemical data, some layers of limestones contain pyroclastics of various composition, which indicate a deposition in the area of island arc volcanism effect. The sedimentation occurred on the oceanic intraplate volcanic rise or on the internal rise of backarc basin. The major part of siliceous-carbonate oozes were forming between depths of 1-1.5km.

The paper proposes a formalized technique of probabilistic forecast by applying statistical estimation of seismicity level and a number of additional functions that characterize the predictive situation. The possibilities of this method are illustrated by the example of seismic activation before the eruptions of Bezymianny Volcano (Klyuchevskaya group, Kamchatka).
The initial data is the catalog of earthquakes of the Klyuchevskaya group of volcanoes during 1999-2014, compiled by the Kamchatka Branch of the Geophysical Survey, RAS. During this time there were 21 eruptions of Bezymianny Volcano. The precursor is defined as a threshold function associated with the current seismicity level and its characteristic form before the eruption.
The values of parameters characterizing the precursor are given including validity, reliability and efficiency, calculated by two methods. It is shown that the reliability of the precursor decreases with the increase in threshold values, and its validity increases.
The reliability of the method is 0.38–0.95, i.e., from 38 % to 95 % of eruptions had the precursor depending on the threshold level; and the validity is 0.3–0.6, i.e., from 30 % to 60 % of the identified precursors are realized also depending on the threshold level. Values of efficiency confirm the non-random nature of the precursor appearance.
The method includes determination of the probability of the forecast realization. The nomogram for probabilities depending on the duration of the forecast and the values of the prognostic parameter is designed.