{"title":"地震事件的几种预测技术及其分析:简论","authors":"Tilak Mukherjee, Kushal Roy","doi":"10.46610/joecs.2022.v07i03.001","DOIUrl":null,"url":null,"abstract":"The lower atmosphere, specifically the troposphere zone, and its related impacts on earthquake (EQ) seismic events are examined in this paper. Most of these seismic events show prominent changes and sudden anomalies in temperature ranges, corresponding humidity levels, and radio refractive index profiles before and after the event, which offers a potential and feasible method or mechanism to predict the occurrence of EQ in the concerned risk-prone areas. This study examines anomalies using electromagnetic (EM) signals in the broad interdisciplinary field of communication and geophysics engineering. In this context, proper mutual understanding of the prediction signals consisting of complex seismic dynamics mainly based on troposphere conditions mainly linked with such devastating events and their further prediction with machine learning algorithms as well as their extended applications serves to be important.","PeriodicalId":266054,"journal":{"name":"Journal of Electronics and Communication Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Few Prediction Techniques for Earthquake Events and their Analysis: A Brief Insight\",\"authors\":\"Tilak Mukherjee, Kushal Roy\",\"doi\":\"10.46610/joecs.2022.v07i03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The lower atmosphere, specifically the troposphere zone, and its related impacts on earthquake (EQ) seismic events are examined in this paper. Most of these seismic events show prominent changes and sudden anomalies in temperature ranges, corresponding humidity levels, and radio refractive index profiles before and after the event, which offers a potential and feasible method or mechanism to predict the occurrence of EQ in the concerned risk-prone areas. This study examines anomalies using electromagnetic (EM) signals in the broad interdisciplinary field of communication and geophysics engineering. In this context, proper mutual understanding of the prediction signals consisting of complex seismic dynamics mainly based on troposphere conditions mainly linked with such devastating events and their further prediction with machine learning algorithms as well as their extended applications serves to be important.\",\"PeriodicalId\":266054,\"journal\":{\"name\":\"Journal of Electronics and Communication Systems\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electronics and Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46610/joecs.2022.v07i03.001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electronics and Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/joecs.2022.v07i03.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Few Prediction Techniques for Earthquake Events and their Analysis: A Brief Insight
The lower atmosphere, specifically the troposphere zone, and its related impacts on earthquake (EQ) seismic events are examined in this paper. Most of these seismic events show prominent changes and sudden anomalies in temperature ranges, corresponding humidity levels, and radio refractive index profiles before and after the event, which offers a potential and feasible method or mechanism to predict the occurrence of EQ in the concerned risk-prone areas. This study examines anomalies using electromagnetic (EM) signals in the broad interdisciplinary field of communication and geophysics engineering. In this context, proper mutual understanding of the prediction signals consisting of complex seismic dynamics mainly based on troposphere conditions mainly linked with such devastating events and their further prediction with machine learning algorithms as well as their extended applications serves to be important.