Seismic Instruments最新文献_第8页

Rock Fragmentation Revealed by a Computer Vision Algorithm 用计算机视觉算法揭示岩石破碎

IF 0.3

Seismic Instruments Pub Date : 2025-07-01 DOI: 10.3103/S0747923925700215

V. E. Chinkin, A. A. Ostapchuk

{"title":"Rock Fragmentation Revealed by a Computer Vision Algorithm","authors":"V. E. Chinkin, A. A. Ostapchuk","doi":"10.3103/S0747923925700215","DOIUrl":"10.3103/S0747923925700215","url":null,"abstract":"Features of rock deformation and destruction can be traced at different scale levels. Detecting peculiarities of rock destruction under intense deformation is essential for understanding the patterns of rock mass evolution. Here we propose a method of segmentation of images of petrographic thin sections and detection of intact areas and grains to identify microstructural properties of rocks. The segmentation method is based on the combination of a special technique of microstructural analysis (STMA) developed at IGEM RAS and the Richer convolutional features (RCF) multilayer neural network. Estimating the error of determining the size of segments due to a false detection of lineaments (STMA algorithm) and inaccuracy of edge detection (RCF algorithm) was performed basing on the Monte Carlo simulation. The method was used to segment 234 thin sections of rocks making up the central part of Primorsky fault of the Baikal Rift Zone and representing different types of tectonites. Analysis of segmented images showed that at scales from 10–5 to 10–2 m, in 44% of cases, the rock structure obeys a lognormal distribution of the areas of intact segments, and in 3% of cases, a power distribution. The Weibull distribution does not describe the statistics of the areas of intact segments. The result indicates that fragmentation of rocks is not a scale invariant process.","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"61 2","pages":"132 - 139"},"PeriodicalIF":0.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fragmentation of Time Series Is Not an Anomaly, but the Norm 时间序列的碎片化不是异常，而是常态

IF 0.3

Seismic Instruments Pub Date : 2025-07-01 DOI: 10.3103/S0747923925700240

M. M. Eliseykin, V. F. Ochkov

{"title":"Fragmentation of Time Series Is Not an Anomaly, but the Norm","authors":"M. M. Eliseykin, V. F. Ochkov","doi":"10.3103/S0747923925700240","DOIUrl":"10.3103/S0747923925700240","url":null,"abstract":"Contemporary technologies have simplified and made accessible the collection and processing of data from scientific observations. Current solutions enable rapid preliminary processing of collected data, cleansing it of outliers related to measurement errors and filling gaps in fragmented time series. However, the ease with which this is achieved presents risks of indiscriminate use of such solutions. Consequently, data indicating real physical anomalies may be discarded, and the amalgamation of time series fragments might result in data that does not correspond to the observed processes and phenomena. Such a situation was justified in the past when there was a scarcity of computational resources. Discarding inherently unreliable values and filling gaps simplified and accelerated data analysis. Now, with sufficient computational power available, it is possible to begin searching for patterns in what was previously considered observational error and discarded. Moreover, the volume of accumulated data may allow for the consideration of fragments of time series as parts of a regular process, without filling the gaps with artificial data created based on our assumptions about the nature of the observed processes and phenomena. This raises the question of the necessity to adapt the approaches used in collecting and analyzing observational results to the possibilities afforded by new computational tools.","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"61 2","pages":"153 - 156"},"PeriodicalIF":0.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Approach to Creating Spatial Predictive Prospecting Models of Deposits Based on Convolutional Neural Networks (A Case Study of the Territory of Southeastern Transbaikalia) 基于卷积神经网络的矿床空间预测找矿模型构建方法（以跨贝加尔湖东南部为例）

IF 0.3

Seismic Instruments Pub Date : 2025-06-11 DOI: 10.3103/S0747923925700203

G. A. Grishkov, I. O. Nafigin, S. A. Ustinov, V. A. Minaev, V. A. Petrov

{"title":"An Approach to Creating Spatial Predictive Prospecting Models of Deposits Based on Convolutional Neural Networks (A Case Study of the Territory of Southeastern Transbaikalia)","authors":"G. A. Grishkov, I. O. Nafigin, S. A. Ustinov, V. A. Minaev, V. A. Petrov","doi":"10.3103/S0747923925700203","DOIUrl":"10.3103/S0747923925700203","url":null,"abstract":"Today, an urgent trend in geology is the development of approaches to applying neural network technologies at different stages of geological exploration. The article considers the architecture of the AlexNet neural network, which has already been tested in various territories. AlexNet makes it poddible to conduct training on a relatively small amount of data with sufficient accuracy to solve problems. To carry out operations with the selected neural network, a technique has been developed that makes it possible, based on prepared geological and spatial features (criteria) that indirectly or actually control ore objects, to train a neural network model with its further application to the studied territory. This approach allows one to analyze and obtain an expert assessment of the studied area in the form of a spatial predictive search model that predicts the location of the most promising sites for further study. In the current article, an example of using the developed methodology for forecasting hydrothermal massive sulfide deposits in the territory of Southeastern Transbaikalia is demonstrated.","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"61 2","pages":"122 - 131"},"PeriodicalIF":0.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ranges of Seismic Treatment Parameters 地震处理参数范围

IF 0.3

Seismic Instruments Pub Date : 2025-06-11 DOI: 10.3103/S0747923925700173

O. O. Erteleva, F. F. Aptikaev

{"title":"Ranges of Seismic Treatment Parameters","authors":"O. O. Erteleva, F. F. Aptikaev","doi":"10.3103/S0747923925700173","DOIUrl":"10.3103/S0747923925700173","url":null,"abstract":"In the lack of empirical data in the study area, the level of parameters of seismic oscillations—accelerations, velocities, displacements, etc.—is specified either using the instrumental part of seismic intensity scales or by recalculating intensity estimates into e oscillation parameter values of interest using correlation relationships. Both the seismic intensity values and the values of seismic ground motion parameters are continuous quantities. Because in practice intensity ratings are rounded to integer values, the intensity and parameters of seismic oscillations are considered discrete quantities. As a result, the quantitative characteristics of seismic oscillations at the boundary of neighboring points have a jump in the calculated seismic ground motion parameters. Consequently, each integer point in reality corresponds not to a single value of the oscillation parameter, but to a certain interval of values. In this article, based on an analysis of empirical data, ranges of values of seismic oscillation parameters are established: peak ground accelerations, velocities, and displacements corresponding to both integer and fractional (rounded to half a point) seismic intensity values, with respect to the seismic intensity scale GOST R 57546-2017. The problem of determining the ranges of predominant periods and duration of seismic oscillations is also considered. The problem of increasing the accuracy of seismic treatment assessment is discussed.","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"61 1","pages":"7 - 14"},"PeriodicalIF":0.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Some Regularities of the Modern Seismicity of Turkmenistan and Adjacent Territory of Northern Iran 土库曼斯坦及伊朗北部邻近地区现代地震活动性的一些规律

IF 0.3

Seismic Instruments Pub Date : 2025-06-11 DOI: 10.3103/S0747923925700161

V. Yu. Burmin, G. R. Petrosyan

引用次数: 0

Effect of a Thin Low-Velocity Ground Layer on Seismic Impact 薄低速地层对地震冲击的影响

IF 0.3

Seismic Instruments Pub Date : 2025-06-11 DOI: 10.3103/S0747923925700185

R. E. Tatevossian, A. V. Kalinina, S. M. Ammosov

引用次数: 0

Earthquake on May 15/28, 1903, in Eastern Anatolia (Turkey) based on Information in Russian Empire Periodicals 1903年5月15/28日东安纳托利亚（土耳其）地震——基于俄罗斯帝国期刊的信息

IF 0.3

Seismic Instruments Pub Date : 2025-06-11 DOI: 10.3103/S0747923925700197

R. E. Tatevossian, N. G. Mokrushina

引用次数: 0

Borehole Seismic Monitoring of a Rock Massif Using Distributed Acoustic Sensing on an Undermined Territory 基于分布式声波传感的岩体破坏区域钻孔地震监测

IF 0.3

Seismic Instruments Pub Date : 2025-06-02 DOI: 10.3103/S074792392570015X

A. V. Chugaev, I. A. Sanfirov, A. I. Kuznetsov, R. A. Bogdanov

引用次数: 0

Automatic Verification, Collection of Metainformation and Structuring of Primary Data of Space Geodetic Observations for Their Qualitative Analysis 空间大地观测原始数据的自动验证、元信息采集与结构化及其定性分析

IF 0.3

Seismic Instruments Pub Date : 2025-06-02 DOI: 10.3103/S0747923925700069

S. I. Kuzikov, D. V. Kenigsberg

{"title":"Automatic Verification, Collection of Metainformation and Structuring of Primary Data of Space Geodetic Observations for Their Qualitative Analysis","authors":"S. I. Kuzikov, D. V. Kenigsberg","doi":"10.3103/S0747923925700069","DOIUrl":"10.3103/S0747923925700069","url":null,"abstract":"Over past decades, the scope and number of national Global Navigation Satellite Systems (GNSS) have rapidly increased. To determine a geodetic position with high accuracy, many different GNSS receivers are used. The data from them are presented in common RINEX format for information exchange and further processing. By the 45th anniversary of the scientific activities of the Research Station of the Russian Academy of Sciences in Central Asia, we have collected an archive of GNSS observations, which includes about 300 000 days of fixing positions for more than 1500 geodetic reference sites with a data recording frequency of 30 s. The quality of coordinate calculations and site displacement velocity strongly depends on correct formatting of source data in RINEX files. This is clear from the experience of working with the high-precision software packages GAMIT/GLOBK and Bernese GNSS Software. We have created the RinexVER program for stream fixing of typical errors during processing of a large number of daily RINEX files (10 000–15 000 observations per year), for their sorting and formation of a structured archive, and for collecting the necessary information about them. Thus, the work of an expert on fixing RINEX file can be reduced by 50 times. In addition, it is possible to increase the accuracy in calculating time series of coordinates and velocity vectors for observation sites in geodynamic studies.","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"60 1-3","pages":"10 - 18"},"PeriodicalIF":0.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of a Geomagnetic Storm on the ELF Field of Power Lines 地磁风暴对电力线极低频场的影响

IF 0.3

Seismic Instruments Pub Date : 2025-06-02 DOI: 10.3103/S0747923925700100

V. B. Belakhovsky, V. A. Pilipenko, Ya. A. Sakharov, V. V. Vakhnina, V. N. Selivanov

引用次数: 0