V. E. Asming, S. V. Asming, A. V. Fedorov, Z. A. Yevtyugina, Ye. N. Chigerev, E. O. Kremenetskaya
{"title":"区域地震事件源类型自动识别系统","authors":"V. E. Asming, S. V. Asming, A. V. Fedorov, Z. A. Yevtyugina, Ye. N. Chigerev, E. O. Kremenetskaya","doi":"10.3103/S0747923922050036","DOIUrl":null,"url":null,"abstract":"<p>An approach to recognizing the types of seismic event sources is proposed, based on the combination of several heterogeneous parameters of event records and information about the territory where the seismic event occurred. The following recording parameters are used: the ratio of the amplitudes of body waves, the ratio of parts of the spectra at high and low frequencies, the magnitude, and the spectral constancy parameter. Territorial information includes data on the presence of waterbodies, glaciers, mines, and simplified information on natural seismic activity. Their joint use is done with a special type of Bayesian belief network. The decisions made by the network are probabilistic in nature; the probability is understood in the Bayesian sense, i.e., as the degree of confidence in the truth of the judgment, which consists in attributing an event to one of the types (mine explosion, other explosion on land, underwater explosion, earthquake, icequake). The approach is implemented as a software system, which is included in the program for the interactive analysis of seismic event records LOS.</p>","PeriodicalId":45174,"journal":{"name":"Seismic Instruments","volume":"58 5","pages":"509 - 520"},"PeriodicalIF":0.3000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"System for Automatic Recognition of Types of Sources of Regional Seismic Events\",\"authors\":\"V. E. Asming, S. V. Asming, A. V. Fedorov, Z. A. Yevtyugina, Ye. N. Chigerev, E. O. Kremenetskaya\",\"doi\":\"10.3103/S0747923922050036\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>An approach to recognizing the types of seismic event sources is proposed, based on the combination of several heterogeneous parameters of event records and information about the territory where the seismic event occurred. The following recording parameters are used: the ratio of the amplitudes of body waves, the ratio of parts of the spectra at high and low frequencies, the magnitude, and the spectral constancy parameter. Territorial information includes data on the presence of waterbodies, glaciers, mines, and simplified information on natural seismic activity. Their joint use is done with a special type of Bayesian belief network. The decisions made by the network are probabilistic in nature; the probability is understood in the Bayesian sense, i.e., as the degree of confidence in the truth of the judgment, which consists in attributing an event to one of the types (mine explosion, other explosion on land, underwater explosion, earthquake, icequake). The approach is implemented as a software system, which is included in the program for the interactive analysis of seismic event records LOS.</p>\",\"PeriodicalId\":45174,\"journal\":{\"name\":\"Seismic Instruments\",\"volume\":\"58 5\",\"pages\":\"509 - 520\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seismic Instruments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0747923922050036\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seismic Instruments","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0747923922050036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
System for Automatic Recognition of Types of Sources of Regional Seismic Events
An approach to recognizing the types of seismic event sources is proposed, based on the combination of several heterogeneous parameters of event records and information about the territory where the seismic event occurred. The following recording parameters are used: the ratio of the amplitudes of body waves, the ratio of parts of the spectra at high and low frequencies, the magnitude, and the spectral constancy parameter. Territorial information includes data on the presence of waterbodies, glaciers, mines, and simplified information on natural seismic activity. Their joint use is done with a special type of Bayesian belief network. The decisions made by the network are probabilistic in nature; the probability is understood in the Bayesian sense, i.e., as the degree of confidence in the truth of the judgment, which consists in attributing an event to one of the types (mine explosion, other explosion on land, underwater explosion, earthquake, icequake). The approach is implemented as a software system, which is included in the program for the interactive analysis of seismic event records LOS.
期刊介绍:
Seismic Instruments is a journal devoted to the description of geophysical instruments used in seismic research. In addition to covering the actual instruments for registering seismic waves, substantial room is devoted to solving instrumental-methodological problems of geophysical monitoring, applying various methods that are used to search for earthquake precursors, to studying earthquake nucleation processes and to monitoring natural and technogenous processes. The description of the construction, working elements, and technical characteristics of the instruments, as well as some results of implementation of the instruments and interpretation of the results are given. Attention is paid to seismic monitoring data and earthquake catalog quality Analysis.