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

IF 1.5 3区 化学 Q3 CHEMISTRY, ANALYTICAL
Sanjay Singh, Hari Prasad Jaishi, Raghavendra Prasad Tiwari, Ramesh Chandra Tiwari
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引用次数: 0

摘要

本文利用 SSNTDs,探讨了三年内土壤中氡和钍的浓度与艾扎尔 Chite 断层地震事件之间的相关性。数据分析采用 STL 方法,该方法将时间序列分解为三个部分:季节、趋势和剩余。在距离监测站 123.9 千米处发生 M5.4 级地震之前,观测到这些气体的残留浓度升高,这表明气体排放与地震之间存在潜在联系。研究结果证明了 STL 方法在检测不同时间序列数据集中的异常情况方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

STL decomposition analysis for anomaly detection in soil radon and thoron concentrations along Chite fault in Aizawl

STL decomposition analysis for anomaly detection in soil radon and thoron concentrations along Chite fault in Aizawl

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.

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来源期刊
CiteScore
2.80
自引率
18.80%
发文量
504
审稿时长
2.2 months
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.
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