I. M. Aleshin, A. I. Astaskevich, I. O. Bayuk, A. G. Goev, M. Yu. Nesterenko
{"title":"Petrophysical Interpretation of Elements of the Velocity Section Constructed from Receiver Functions","authors":"I. M. Aleshin, A. I. Astaskevich, I. O. Bayuk, A. G. Goev, M. Yu. Nesterenko","doi":"10.1134/S1069351326700503","DOIUrl":"10.1134/S1069351326700503","url":null,"abstract":"<p>Low seismic velocities characteristic of rocks located immediately beneath the Earth’s surface are primarily associated with the sedimentary cover. However, near-surface layers with seismic parameters that can be considered anomalous, even in comparison with sedimentary formations, are frequently observed. The nature of such layers is diverse, encompassing hydrocarbon reservoirs, fracture zones, including fluid-saturated systems, formed by tectonic processes. The thickness of these layers varies from several hundred meters to 1–3 km, and the elastic parameters of the constituent rocks can reach extreme values, with shear wave velocities ranging from 1.5 to 2.5 km/s. Consequently, the base of the layer forms a contrasting seismic boundary with the underlying rocks. When body waves from a distant earthquake pass through this interface, they generate a high-amplitude, reliably detectable converted phase that arrives immediately after the onset of the incident wave. Modern seismic signal processing and interpretation techniques enable the determination of the layer’s base depth and the reconstruction of key elastic parameters, specifically the shear wave velocity <span>({{v}_{S}})</span> and the seismic velocity ratio <span>(varkappa = {{v}_{P}}{kern 1pt} /{kern 1pt} {{v}_{S}})</span>. The integration of petrophysical modeling significantly enhances constraints on the composition and structure of the rocks within the layer. This article describes a corresponding workflow based on modern petrophysical methods, the effectiveness of which is demonstrated using data from two seismic stations located in geologically distinct regions: Western Orenburg and Karelia.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"625 - 633"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. I. Gorshkov, O. V. Novikova, A. I. Livinsky, M. A. Semka
{"title":"Potential Mw ≥ 6.0 Earthquake Sources on Sakhalin","authors":"A. I. Gorshkov, O. V. Novikova, A. I. Livinsky, M. A. Semka","doi":"10.1134/S1069351326700564","DOIUrl":"10.1134/S1069351326700564","url":null,"abstract":"<p>Sakhalin Island is located at the boundary of the Okhotsk and Eurasian plates, the interaction of which governs Sakhalin’s seismicity. The aim of this study is to identify potential earthquake sites with <i>M</i><sub>w</sub> ≥ 6.0. This problem is solved using morphostructural zoning (MSZ) data processed by the Kora-3 pattern recognition algorithm, combined with geomorphological and geophysical data. The MSZ revealed the lineament–block structure of the island and determined the positions of morphostructural nodes that host the epicenters of <i>M</i><sub>w</sub> ≥ 6.0 earthquakes. The study objects were 56 nodes whose positions were established by MSZ. The training set of the recognition algorithm consisted of 8 nodes with known <i>M</i><sub>w</sub> ≥ 6.0 earthquakes. As a result, in addition to the nodes that have already experienced <i>M</i><sub>w</sub> ≥ 6.0 events, three nodes located in northern Sakhalin were identified as dangerous (seismically hazardous). In central and southern Sakhalin, in addition to the nodes where <i>M</i><sub>w</sub> ≥ 6.0 earthquakes have already occurred, no other potential nodes were identified. The characteristic geomorphological and geophysical features of the recognized dangerous nodes are determined.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"699 - 706"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. I. Lobkovskiy, P. N. Shebalin, I. A. Garagash, I. S. Vladimirova, V. K. Gusyakov, B. V. Baranov, Yu. A. Vinogradov, D. V. Chebrov
{"title":"Analysis of the Causes of the Large Difference in Mega-Earthquake Recurrence Times in Southern Kamchatka and the Central Region of Honshu Island from the Perspective of the Keyboard Model of Plate Interaction in a Subduction Zone","authors":"L. I. Lobkovskiy, P. N. Shebalin, I. A. Garagash, I. S. Vladimirova, V. K. Gusyakov, B. V. Baranov, Yu. A. Vinogradov, D. V. Chebrov","doi":"10.1134/S106935132670062X","DOIUrl":"10.1134/S106935132670062X","url":null,"abstract":"<p>This article examines the anomalously short recurrence interval of the largest subduction earthquakes in southern Kamchatka. The Kamchatka megaearthquake of July 29 (30), 2025, with <i>M</i><sub>w</sub> = 8.8, occurred within the focal zone of the Great Kamchatka Earthquake of November 5, 1952, which corresponds to an interseismic interval of 73 years. Megaearthquake recurrence intervals typically last hundreds of years or more. For example, in the central part of Honshu Island, an event comparable in magnitude to the Tohoku megaearthquake of March 11, 2011, occurred in 869. To explain this feature, an interpretation based on the key-block model is proposed, linking the stress accumulation and release regime with the degree of segmentation of the frontal wedge of the overlying lithospheric plate. Based on an analysis of morphostructural and seismological data, it is shown that the southern part of the Kamchatka frontal wedge is characterized by signs of a more consolidated structure, while more segmented areas are characterized by partial intermediate stress releases. Geomechanical modeling results confirm that zones of elevated Coulomb stress in the consolidated wedge form a more cohesive region and reach their ultimate limit state more quickly. These results suggest that the increased consolidation of the southern Kamchatka frontal wedge may be one of the factors contributing to the abnormally frequent occurrence of megaquakes in this segment of the subduction zone.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"772 - 787"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Seismic Hazard Assessment Considering Uncertainties in Macroseismic Intensity Prediction Equations","authors":"V. I. German","doi":"10.1134/S1069351326700539","DOIUrl":"10.1134/S1069351326700539","url":null,"abstract":"<p>The paper presents a formalized approach to quantifying the influence of uncertainty in macroseismic intensity prediction equations (IPE) on probabilistic seismic hazard assessments. This uncertainty is modeled by introducing a random component δ<i>I</i> distributed normally with zero mean and standard deviation σ. The study is based on the methodology of the General Seismic Zoning (GSZ-97–GSZ-2016). For a representative network of 32 points covering various seismotectonic regions of Siberia and the Russian Far East, calculations are performed using the Gusev–Shumilina model with synthetic earthquake catalogs consistent with the GSZ-2016 model. It is found that the hazard level at a standard deviation σ = 0.94 intensity units (the value adopted in GSZ-97 and GSZ-2016) is governed primarily by positive δ<i>I</i> deviations with an average value of about 1.3–1.7 intensity units. An empirical relationship is obtained that relates σ to the increment in seismic hazard due to accounting for the random component δ<i>I</i> for various return periods. It is shown that ignoring σ results in underestimation of hazard estimates by an average of 0.7–0.9 intensity units for recurrence periods of 500–5000 years. To improve the accuracy of hazard estimates, the use of regional σ values is recommended; the typical range of σ for most territories is 0.5–0.8 intensity units.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"664 - 680"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Choosing the Best Method for Precision Rock Temperature Measurements","authors":"V. V. Gravirov","doi":"10.1134/S1069351326700576","DOIUrl":"10.1134/S1069351326700576","url":null,"abstract":"<p>Precision temperature measurement is a nontrivial problem that occurs in various scientific and technical fields. It is well known that temperature can have a significant impact on a wide range of natural, technical, and technological processes. In recent decades, there has been significant progress in improving the resolution of thermomonitoring systems, driven by the development of new technologies and materials that enhance both the accuracy and reliability of measurements. This article focuses on the selection of temperature transducers (among the most accessible options) that can be used for precision rock temperature measurements.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"707 - 713"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ya. B. Radziminovich, N. A. Gileva, A. I. Filippova, V. I. Melnikova
{"title":"Khövsgöl Earthquake of January 11, 2021 (Mw = 6.8, MS = 7.1): Detailed Analysis of Macroseismic Data","authors":"Ya. B. Radziminovich, N. A. Gileva, A. I. Filippova, V. I. Melnikova","doi":"10.1134/S1069351326700667","DOIUrl":"10.1134/S1069351326700667","url":null,"abstract":"<p>This article analyzes macroseismic data on the large Khövsgöl earthquake of January 11, 2021 (<i>M</i><sub>w</sub> = 6.8, <i>MS</i> = 7.1). The epicenter of the seismic event was located in the water area of Lake Khövsgöl (Northern Mongolia), where earthquakes of such a magnitude had not previously been recorded. The macroseismic data were collected primarily using an online questionnaire posted on the website of the Baikal Branch of the Federal Research Center Geophysical Survey, Russian Academy of Sciences. As a result, 1961 responses were received, that is the second‑highest number since online surveys of the population in the Baikal region began. A small portion of the macroseismic data was obtained from seismic station personnel, as well as from the EMSC website, and media reports. In total, data were collected from 158 observation points. The maximum observed shaking intensity on the territory of Russia, VI–VII on the MSK‑64 scale, was recorded in the settlement of Mondy. Shaking intensity of V was observed in the range of distances from 158 to 438 km; shaking intensity of IV was noted at distances from 93 to 827 km. In contrast to other strong seismic events in the Baikal region, attenuation of the shaking intensity during the Khövsgöl earthquake generally corresponds well to the regional version of the macroseismic equation. The Khövsgöl earthquake confirmed the high seismic potential of earthquake source zones located in northern Mongolia, which can produce a strong seismic impact on the territory of the Russian Federation. This is important for seismic hazard assessment and seismic zoning at various scales.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"818 - 836"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of Postseismic Activity in the Aftershock Information System","authors":"A. Yu. Motorin, S. V. Baranov","doi":"10.1134/S1069351326700643","DOIUrl":"10.1134/S1069351326700643","url":null,"abstract":"<p>The current paper describes algorithms and a methodology for assessing postseismic activity in the Aftershock Information System (IS), developed for the Kirovsk Branch (KB) of JSC Apatit. The Aftershock IS is intended for real-time determination of aftershock areas, the expected energy of the strongest aftershock, and the duration of the hazardous period after major seismic events with energy exceeding 10<sup>7</sup> J that occur during mining of apatite-nepheline ores in the Khibiny massif. Aftershock IS was designed based on long-term seismic monitoring in underground mines of KB JSC Apatit. The methodology describes various forecast strategies for risk management at a mining enterprise. The system can produce estimates both from the parameters of the main shock immediately after its occurrence and several hours later using additional data on the first aftershocks. The application of the methodology and algorithms of Aftershock IS are showcased on a seismic event with <i>E</i> = 1.8 × 10<sup>8</sup> J that occurred at the Kirovsky mine of JSC Apatit on July 17, 2024, at 04:07:57 UTC.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"799 - 809"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. V. Krushelnitskii, I. A. Vorobieva, O. V. Gaidalenok, A. P. Molokova, A. A. Skorkina, A. I. Filippova, P. N. Shebalin
{"title":"Earthquake Focal Mechanism Modeling in the Kuril-Kamchatka Subduction Zone: The First Step","authors":"K. V. Krushelnitskii, I. A. Vorobieva, O. V. Gaidalenok, A. P. Molokova, A. A. Skorkina, A. I. Filippova, P. N. Shebalin","doi":"10.1134/S106935132670059X","DOIUrl":"10.1134/S106935132670059X","url":null,"abstract":"<p>Information on an earthquake focal mechanism is essential for assessing the expected ground effects of seismic events. This paper investigates the distribution of focal mechanisms in the Kuril–Kamchatka subduction zone based on the GCMT catalog for the period of 1976–2020. The distributions of mechanism parameters are analyzed separately for intraslab, interplate, and shallow crustal events. A set of maps, showing the most probable focal mechanisms for each earthquake type within the Kuril–Kamchatka subduction zone, is proposed as the first step toward constructing a probabilistic model of focal mechanism distribution.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"729 - 743"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Model of the Source of the Kamchatka Earthquake of July 29 (30), 2025, Based on GNSS Data","authors":"G. M. Steblov, I. S. Vladimirova, G. E. Melnik","doi":"10.1134/S1069351326700680","DOIUrl":"10.1134/S1069351326700680","url":null,"abstract":"<p>A source model of the July 29 (30), 2025 Kamchatka earthquake (<i>M</i><sub><i>W</i></sub> ≈ 8.7–8.8) is presented based on GNSS data processed using different primary processing schemes: high-rate observations (1 Hz) and daily averaged solutions. It is shown that both processing types reliably reproduce the principal spatial and energy characteristics of the seismic rupture; however, proper accounting for postseismic displacements is required when interpreting daily averaged data. The use of high-rate data made it possible to reconstruct a spatiotemporal rupture propagation model. The rupture propagated unilaterally for ~180 s at an average velocity of ~1.67 km/s, significantly slower than the shear‑wave velocity in the upper crust. Such a slow rupture propagation regime may explain the relatively moderate macroseismic effects and comparatively limited amplitude of the generated tsunami.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"848 - 858"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Duration Magnitudes of Volcanic Earthquakes at the Klyuchevskoy Group of Volcanoes","authors":"A. P. Molokova, A. A. Skorkina, V. B. Smirnov","doi":"10.1134/S1069351326700631","DOIUrl":"10.1134/S1069351326700631","url":null,"abstract":"<p>Rapid and reliable magnitude estimation of weak volcanic earthquakes is crucial for operational monitoring of volcanic activity. Using data from the temporary seismic experiment KISS (Klyuchevskoy Investigation—Seismic Structure of an Extraordinary Volcanic System, 2015–2016) at the Klyuchevskoy Group of Volcanoes, we investigate the applicability of duration magnitude <i>M</i><sub>D</sub> for estimating the size of high-frequency (HF) and long-period (LP) volcanic earthquakes in the <i>M</i><sub>L</sub> = 0.5–2 range. We develop an automated algorithm for signal duration determination that combines the Allen method for <i>P-</i>wave arrival picking with smoothed envelope analysis to determine the signal end time. We show that duration magnitude estimates averaged over the network are robust against outliers (various types of noise). A comparative analysis of duration magnitudes <i>M</i><sub>D</sub> with local magnitudes <i>M</i><sub>L</sub> and moment magnitudes <i>M</i><sub>w</sub> reveals that for LP earthquakes, the classical <i>M</i><sub>L</sub> scale systematically and significantly underestimates magnitudes relative to both <i>M</i><sub>D</sub> and <i>M</i><sub>w</sub>. This confirms the need for an additional magnitude scale to more accurately estimate magnitudes of volcanic events. Finally, we obtain linear relationships between different magnitude types for HF and LP earthquakes of the Klyuchevskoy Group of Volcanoes, which can be used for magnitude conversion.</p>","PeriodicalId":602,"journal":{"name":"Izvestiya, Physics of the Solid Earth","volume":"62 4","pages":"788 - 798"},"PeriodicalIF":0.7,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148927773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}