Vulkanologiâ i sejsmologiâ

ISSN (PRINT): 0203-0306

Media registration certificate: No. 0110147 dated 02/05/1993

Founder: Institute of Volcanology and Seismology, Far Eastern Branch of the Russian Academy of Sciences (Petropavlovsk-Kamchatsky), Russian Academy of Sciences (Moscow)

Editor-in-Chief: Sobisevich Alexey Leonidovich Doctor of Physical and Mathematical Sciences, Corresponding Member of the Russian Academy of Sciences

Number of issues per year: 6

Indexation: RISC, List of Higher Attestation Commissions, RSCI Core, white list (2nd level)

Journal of Volcanology and Seismology is an international peer-reviewed journal that publishes theoretical and experimental studies, communications, and reports on volcanic, seismic, geodynamic, and magmatic processes occurring in the areas of island arcs and other active regions of the Earth. In particular, the journal looks at present-day land and submarine volcanic activity; Neogene–Quaternary volcanism; mechanisms of plutonic activity; the geochemistry of volcanic and postvolcanic processes; geothermal systems in volcanic regions; and seismological monitoring. In addition, the journal surveys earthquakes, volcanic eruptions, and techniques for predicting them. The journal welcomes manuscripts from all countries.

 

Current Issue

Open Access Open Access  Restricted Access Access granted  Restricted Access Subscription Access

No 2 (2025)

Cover Page

Full Issue

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Articles

Synthetic Earthquake Catalog for the Eastern Sector of the Arctic Zone of the Russian Federation
Shebalin P.N., Gvishiani A.D., Malyutin P.A., Grekov E.M., Antipova A.O., Vorobyova I.A., Dzeboev B.A., Dzeranov B.V.
Abstract

The synthetic earthquake catalog for the Eastern sector of the Arctic zone of the Russian Federation is constructed in the paper. It reproduces and models the key properties of the catalog of actual earthquakes in the region. At the regional level, the Gutenberg–Richter magnitude frequency law for earthquakes of different magnitudes is satisfied both for the catalog as a whole and for the catalog of main shocks, in which aftershocks are removed. Local values of the parameters of this law are reproduced. The synthetic catalog includes aftershocks, while local ratios of the number of aftershocks and the total number of earthquakes, estimated from the catalog of actual events, are observed. The results of strong earthquake-prone areas recognition using the FCAZ method are used as a model of the spatial distribution of the strongest earthquakes in the region (М ≥ 5.5). Preliminary calculations of the normative intensity were carried out to compare three variants of the synthetic catalog (full model, without aftershocks, without FCAZ recognition results and aftershocks).

Vulkanologiâ i sejsmologiâ. 2025;(2):3-19
pages 3-19 views
The Relationship between Magnitudes MLH and MW for the Kuril-Okhotsk Region and its Use for Transit Conversions to Other Magnitudes
Safonov D.A.
Abstract

In order to unify the earthquake catalogue of the Kuril-Okhotsk region, the two-segment linear relationship was obtained between the surface wave magnitude MLH of the Sakhalin branch of the GS RAS and the moment magnitude MW of the GCMT and NIED agencies. Comparison with similar formulas based on different catalogs shows that for strong MLH = 6.5–8.1 earthquakes, there is a slight ~ 0.1 excess of the regional magnitude of MLH over the MS. In the interval MLH = 4.0–6.5, the regional magnitude MLH exceeds MS values by 0.2–0.4. The relationships between MLH and ML of the Kamchatka branch of the GS RAS in the region of the middle-northern Kuril Islands, MLH and Mj of the JMA agency for the southern part of the region were obtained. By transit recalculation using the relation MLH (MW), it was possible to repeat the directly obtained dependences with good accuracy. The best result is achieved by taking into account the differences in MW obtained by different agencies.

Vulkanologiâ i sejsmologiâ. 2025;(2):20-37
pages 20-37 views
Crater Lakes of the Vernadsky Ridge of Paramushir Island (Kuril Islands): Water Balance and Dynamics
Kotenko T.A.
Abstract

The paper considers the water balance of cold and hot crater lakes of the Vernadsky ridge on Paramushir Island. Precipitation was measured at the height of the craters to calculate the incoming part. A necessary condition for the existence of permanent cold crater lakes with precipitation of ~ 4660 mm per hydrological year is a catchment area of more than 60 thousand m2. The evolution of lakes in the craters of the active Ebeko volcano is presented. The volcanic contribution (inflow of water and/or steam of volcanic origin) to thermal lakes in previous periods of time and in the current state of the volcano has been estimated. In the long term, the Middle Crater and the Korbut crater are suitable for the formation of hot lakes. Until the end of the current eruption in the Korbut crater, the formation of a lake in it is impossible. In the post-eruptive period, with an estimated crater diameter of 250 ± 50 m, a volcanic inflow of 8–13 kg/s will be sufficient for the equilibrium existence of a lake with a temperature of 35°C and a mirror area of 25 thousand m2. Volcanic steam has been entering the lake in the Middle Crater since 2017, but the lake remains cold. The volcanic inflow should be 5 ± 2 kg/s in order to achieve a balance equilibrium for a lake with a temperature of 35°C and a mirror area of 25 thousand m2.

Vulkanologiâ i sejsmologiâ. 2025;(2):38-51
pages 38-51 views
Analyzing Aerosol Lidar Signal Variation as a Possible Local Seismic Activity Indicator
Myasnikov A.V., Sobisevich A.L., Pershin S.M., Grishin M.Y., Lednyov V.N., Zavozin V.A.
Abstract

We report the results of an almost year-long lidar monitoring of crustal aerosol emanation in a tunnel of the Baksan Neutrino Observatory of the Institute for Nuclear Research of the Russian Academy of Sciences (BNO INR) located in the Neutrino village in Kabardino-Balkaria. Cross-spectra analysis has demonstrated that at least 40% of the lidar signal energy is defined by meteorological parameter variations, namely, atmospheric pressure (represented in the barometric pumping effect) and air humidity. We demonstrate that lunar components of lunar-solar tides are present in the lidar signal (M2 and O1 waves) and these components do not coincide with meteorological parameter variation periods. This fact signifies that there is a tectonic component in the lidar-measured crustal aerosol variation signal. The totality of data shows the prospects of using lidar crustal aerosol monitoring for assessing local seismic activity level.

Vulkanologiâ i sejsmologiâ. 2025;(2):52-61
pages 52-61 views
On the Identification of Typical Precursor Anomalies in the Foreshock Areas of Strong Earthquakes, Kuril-Kamchatka Region
Rodkin M.V., Andreeva M.Y.
Abstract

The article discusses the prospects of a new earthquake forecast algorithm based on a set of precursor anomalies previously identified in details as a result of constructing and analyzing a generalized vicinity of a strong earthquake. The difference in physical mechanisms of different depth earthquakes is taken into account. The question is considered, how often typical averaged anomalies can be statistically reliably identified in the foreshock areas of individual strong earthquakes; the regional catalog of Kamchatka and Northern Kuril Islands of the Kamchatka Branch of the Geophysical Surveys of the Russian Academy of Sciences is used. In this catalog, at least one typical anomaly is detected in one third of cases of the target earthquakes with magnitude M ≥ 6.5. The probability of such successful retrospective forecast depends to a decisive extent on the number of events registered in the foreshock zone of a given strong earthquake. This result is supported by the results of the analysis of the world ISC-GEM and GCMT catalogs and the 2023 Turkish Earthquake Doublet. The possibilities for the development of the used forecast method are discussed; attention is drawn to the problem of false alarms.

Vulkanologiâ i sejsmologiâ. 2025;(2):62-72
pages 62-72 views

DISCUSSIONS

On the Manifestation of Precursors of Strong Earthquakes (MW ≥ 6.6) in Kamchatka
Kopylova G.N., Serafimova Y.K., Kasimova V.A.
Abstract

A review of work on the search for earthquake precursors during the period of detailed seismological observations in the Kamchatka Peninsula in 1962–2022 is presented in comparison with the cumulative graph of seismic energy release and the most powerful earthquakes. A feature of the observation network for earthquake precursors is the location of most “non-seismological” types of observations in a small area of the Petropavlovsk-Kamchatsky test site (PKTS). Analysis of the 14 types of seismic, geophysical and geochemical precursors before seven 2005–2022 shallow and intermediate earthquakes with МW = 6.6–7.7 showed an increase in the number of precursors N with an increase in the parameter MW / lgdh (dh is the hypocentral distance to the center of PKTS in km), which characterizes the relative intensity of earthquake preparation in the PKTS area. Such a relationship between N and MW/lgdh traced for interplate (subduction) earthquakes in the Kamchatka fragment of the Kuril-Kamchatka Island arc as well as consistent with the manifestations of precursors in 1987–2004 and reflects the integrated manifestation of precursors before earthquakes that are the strongest and closest to the PKTS territory. Before such events, the effect of integrated manifestation of precursors (EIMP) was observed in no less than 80% of the precursors of all considered in this work. For such earthquakes, the ratio between the hypocentral distance dh and the size of the earthquake source L (km) is dh / L = 3.8–1.6, i.e., the manifestation of EIMP is characteristic of the near and middle (intermediate) zone of the future earthquake. Using the example of four separate types of precursors, it is shown that their threshold values dh / L = 5.0–8.5 for events with МW ≥ 6.6. If, during seismic forecasting, the EIMP is diagnosed in real time, then using the threshold value dh / L ≤ 3.8 set for it, it is possible to significantly reduce the estimate of the distance of a future strong earthquake from the PKTS area and the Petropavlovsk-Yelizovo urban agglomeration, compared with the use of data on individual types of precursors.

Vulkanologiâ i sejsmologiâ. 2025;(2):73-98
pages 73-98 views
pages 99-102 views

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».