用地震振幅比分析法监测埃特纳火山岩浆迁移

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ghazaleh Rasaneh, Alireza Hajian, M. Hodhodi, Roohollah Kimiae, S. Gambino
{"title":"用地震振幅比分析法监测埃特纳火山岩浆迁移","authors":"Ghazaleh Rasaneh, Alireza Hajian, M. Hodhodi, Roohollah Kimiae, S. Gambino","doi":"10.4401/ag-8807","DOIUrl":null,"url":null,"abstract":"The Seismic Amplitude Ratio Analysis method (SARA) was applied to data recorded six days before the May 13, 2008 eruption of Mt. Etna to test its potential as a forecasting attribute. By using this method, the magma migration path, as well as the seismic migration, can be determined with the amplitude of continuous data recorded at least at one pair of stations from a seismic network near the eruption site. Due to the sudden changes in the seismic amplitude ratio calculated for each pair of stations, the seismic migration trend, as well as the magma path at depths, were detected before the main eruption. The start and end times of the seismic swarms were also determined. The standard practice to achieve similar results is to use volcanic tremors, which must be pre-selected thus reducing efficiency and increasing the time needed. By using the whole seismic signal, the method provides a simpler semi-automated alternative, especially for a seismic event or places where it is not possible to record tremors continuously. This simple method is useful to reduce uncertainties relative to hazardous magma propagation during volcanic unrest, as it helps improve the accuracy of locating seismic swarms and determining the direction of magma movement at depth before the eruption. We also analyzed the amplitude ratio trend using Mann-Kendall and Sen's estimator test. The results of these tests confirmed a positive and increasing trend from the day before the eruption in most pairs of stations.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monitoring magma migration at Mt. Etna using the Seismic Amplitude Ratio Analysis method\",\"authors\":\"Ghazaleh Rasaneh, Alireza Hajian, M. Hodhodi, Roohollah Kimiae, S. Gambino\",\"doi\":\"10.4401/ag-8807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Seismic Amplitude Ratio Analysis method (SARA) was applied to data recorded six days before the May 13, 2008 eruption of Mt. Etna to test its potential as a forecasting attribute. By using this method, the magma migration path, as well as the seismic migration, can be determined with the amplitude of continuous data recorded at least at one pair of stations from a seismic network near the eruption site. Due to the sudden changes in the seismic amplitude ratio calculated for each pair of stations, the seismic migration trend, as well as the magma path at depths, were detected before the main eruption. The start and end times of the seismic swarms were also determined. The standard practice to achieve similar results is to use volcanic tremors, which must be pre-selected thus reducing efficiency and increasing the time needed. By using the whole seismic signal, the method provides a simpler semi-automated alternative, especially for a seismic event or places where it is not possible to record tremors continuously. This simple method is useful to reduce uncertainties relative to hazardous magma propagation during volcanic unrest, as it helps improve the accuracy of locating seismic swarms and determining the direction of magma movement at depth before the eruption. We also analyzed the amplitude ratio trend using Mann-Kendall and Sen's estimator test. The results of these tests confirmed a positive and increasing trend from the day before the eruption in most pairs of stations.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2022-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.4401/ag-8807\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.4401/ag-8807","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

将地震振幅比分析法(SARA)应用于2008年5月13日埃特纳火山喷发前6天的数据,以检验其作为预测属性的潜力。利用该方法,可以利用喷发点附近地震台网至少一对台站连续记录的振幅来确定岩浆迁移路径和地震迁移。由于每对台站计算的地震振幅比的突然变化,在主喷发前就探测到了地震的迁移趋势,以及深部的岩浆路径。还确定了地震群的开始和结束时间。达到类似结果的标准做法是使用火山震动,必须预先选择,从而降低效率并增加所需的时间。通过使用整个地震信号,该方法提供了一种更简单的半自动化替代方法,特别是对于地震事件或无法连续记录地震的地方。这种简单的方法有助于减少火山动荡期间危险岩浆传播的不确定性,因为它有助于提高定位地震群的准确性,并在喷发前确定岩浆运动的方向。我们还使用Mann-Kendall和Sen's估计量检验分析了幅值比趋势。这些测试结果证实,从喷发前一天开始,大多数对站都有积极的增加趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring magma migration at Mt. Etna using the Seismic Amplitude Ratio Analysis method
The Seismic Amplitude Ratio Analysis method (SARA) was applied to data recorded six days before the May 13, 2008 eruption of Mt. Etna to test its potential as a forecasting attribute. By using this method, the magma migration path, as well as the seismic migration, can be determined with the amplitude of continuous data recorded at least at one pair of stations from a seismic network near the eruption site. Due to the sudden changes in the seismic amplitude ratio calculated for each pair of stations, the seismic migration trend, as well as the magma path at depths, were detected before the main eruption. The start and end times of the seismic swarms were also determined. The standard practice to achieve similar results is to use volcanic tremors, which must be pre-selected thus reducing efficiency and increasing the time needed. By using the whole seismic signal, the method provides a simpler semi-automated alternative, especially for a seismic event or places where it is not possible to record tremors continuously. This simple method is useful to reduce uncertainties relative to hazardous magma propagation during volcanic unrest, as it helps improve the accuracy of locating seismic swarms and determining the direction of magma movement at depth before the eruption. We also analyzed the amplitude ratio trend using Mann-Kendall and Sen's estimator test. The results of these tests confirmed a positive and increasing trend from the day before the eruption in most pairs of stations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信