{"title":"通过 STL 分解分析检测艾扎尔 Chite 断层沿线土壤氡和钍浓度的异常情况","authors":"Sanjay Singh, Hari Prasad Jaishi, Raghavendra Prasad Tiwari, Ramesh Chandra Tiwari","doi":"10.1007/s10967-024-09685-2","DOIUrl":null,"url":null,"abstract":"<div><p>This paper explores the correlation between soil radon and thoron concentrations and seismic events at Chite fault in Aizawl over a three year period using SSNTDs. The data analysis was done using STL method which decomposes a time series into three components: seasonal, trend, and remainder. Elevated residual concentrations of these gases were observed prior to the M5.4 earthquake that occurred at a distance of 123.9 km from the monitoring station, suggesting a potential link between gas emanation and seismicity. The results of the study demonstrated the effectiveness of the STL method in detecting anomalies in diverse time series datasets.</p></div>","PeriodicalId":661,"journal":{"name":"Journal of Radioanalytical and Nuclear Chemistry","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STL decomposition analysis for anomaly detection in soil radon and thoron concentrations along Chite fault in Aizawl\",\"authors\":\"Sanjay Singh, Hari Prasad Jaishi, Raghavendra Prasad Tiwari, Ramesh Chandra Tiwari\",\"doi\":\"10.1007/s10967-024-09685-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper explores the correlation between soil radon and thoron concentrations and seismic events at Chite fault in Aizawl over a three year period using SSNTDs. The data analysis was done using STL method which decomposes a time series into three components: seasonal, trend, and remainder. Elevated residual concentrations of these gases were observed prior to the M5.4 earthquake that occurred at a distance of 123.9 km from the monitoring station, suggesting a potential link between gas emanation and seismicity. The results of the study demonstrated the effectiveness of the STL method in detecting anomalies in diverse time series datasets.</p></div>\",\"PeriodicalId\":661,\"journal\":{\"name\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Radioanalytical and Nuclear Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10967-024-09685-2\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radioanalytical and Nuclear Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10967-024-09685-2","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
STL decomposition analysis for anomaly detection in soil radon and thoron concentrations along Chite fault in Aizawl
This paper explores the correlation between soil radon and thoron concentrations and seismic events at Chite fault in Aizawl over a three year period using SSNTDs. The data analysis was done using STL method which decomposes a time series into three components: seasonal, trend, and remainder. Elevated residual concentrations of these gases were observed prior to the M5.4 earthquake that occurred at a distance of 123.9 km from the monitoring station, suggesting a potential link between gas emanation and seismicity. The results of the study demonstrated the effectiveness of the STL method in detecting anomalies in diverse time series datasets.
期刊介绍:
An international periodical publishing original papers, letters, review papers and short communications on nuclear chemistry. The subjects covered include: Nuclear chemistry, Radiochemistry, Radiation chemistry, Radiobiological chemistry, Environmental radiochemistry, Production and control of radioisotopes and labelled compounds, Nuclear power plant chemistry, Nuclear fuel chemistry, Radioanalytical chemistry, Radiation detection and measurement, Nuclear instrumentation and automation, etc.