使用低成本、公民托管的地震仪和区域宽带站监测海地的局部地震

IF 2.6 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Sylvert Paul, Tony Monfret, F. Courboulex, J. Chèze, Eric Calais, Steeve Julien Symithe, Anne Deschamps, F. Peix, Davis Ambrois, Xavier Martin, S. St Fleur, Dominique Boisson
{"title":"使用低成本、公民托管的地震仪和区域宽带站监测海地的局部地震","authors":"Sylvert Paul, Tony Monfret, F. Courboulex, J. Chèze, Eric Calais, Steeve Julien Symithe, Anne Deschamps, F. Peix, Davis Ambrois, Xavier Martin, S. St Fleur, Dominique Boisson","doi":"10.1785/0220230059","DOIUrl":null,"url":null,"abstract":"\n Seismic monitoring in Haiti is currently provided by a mixed network of low-cost Raspberry Shake (RS) seismic stations hosted by citizens, and short-period and broadband stations located mainly in neighboring countries. The level of earthquake detection is constantly improving for a better spatio-temporal distribution of seismicity as the number of RS increases. In this article, we analyze the impact of the quality of the signals recorded by the RS—low-cost seismometers with the smallest magnitude that the network can detect by studying the ambient noise level at these stations. Because the RS stations are installed as part of a citizen-science project, their ambient noise estimated by the power spectral density (PSD) method often shows a high-noise level at frequencies above 1 Hz. In the near field (<50 km), we show that the network detects seismic events of local magnitude on the order of 2.2 with signal-to-noise ratios (SNRs) greater than 4. Improving the network detection threshold requires densifying the network with more RS stations in locations that are less noisy, if possible. In spite of these limitations, this mixed network has provided near-field data essential to rapidly understand the mechanism of the mainshock of the 14 August 2021 Mw 7.2 earthquake, to monitor its sequence of aftershocks in near-real time, and to monitor background seismicity in Haiti on a routine basis.","PeriodicalId":21687,"journal":{"name":"Seismological Research Letters","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monitoring of Local Earthquakes in Haiti Using Low-Cost, Citizen-Hosted Seismometers and Regional Broadband Stations\",\"authors\":\"Sylvert Paul, Tony Monfret, F. Courboulex, J. Chèze, Eric Calais, Steeve Julien Symithe, Anne Deschamps, F. Peix, Davis Ambrois, Xavier Martin, S. St Fleur, Dominique Boisson\",\"doi\":\"10.1785/0220230059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Seismic monitoring in Haiti is currently provided by a mixed network of low-cost Raspberry Shake (RS) seismic stations hosted by citizens, and short-period and broadband stations located mainly in neighboring countries. The level of earthquake detection is constantly improving for a better spatio-temporal distribution of seismicity as the number of RS increases. In this article, we analyze the impact of the quality of the signals recorded by the RS—low-cost seismometers with the smallest magnitude that the network can detect by studying the ambient noise level at these stations. Because the RS stations are installed as part of a citizen-science project, their ambient noise estimated by the power spectral density (PSD) method often shows a high-noise level at frequencies above 1 Hz. In the near field (<50 km), we show that the network detects seismic events of local magnitude on the order of 2.2 with signal-to-noise ratios (SNRs) greater than 4. Improving the network detection threshold requires densifying the network with more RS stations in locations that are less noisy, if possible. In spite of these limitations, this mixed network has provided near-field data essential to rapidly understand the mechanism of the mainshock of the 14 August 2021 Mw 7.2 earthquake, to monitor its sequence of aftershocks in near-real time, and to monitor background seismicity in Haiti on a routine basis.\",\"PeriodicalId\":21687,\"journal\":{\"name\":\"Seismological Research Letters\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seismological Research Letters\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1785/0220230059\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seismological Research Letters","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1785/0220230059","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

海地的地震监测目前由公民托管的低成本Raspberry Shake(RS)地震台站以及主要位于邻国的短周期和宽带台站组成的混合网络提供。随着RS数量的增加,地震探测水平不断提高,以获得更好的地震活动时空分布。在这篇文章中,我们通过研究这些台站的环境噪声水平,分析了RS——网络可以检测到的最小震级的低成本地震仪——记录的信号质量的影响。由于RS站是作为公民科学项目的一部分安装的,因此通过功率谱密度(PSD)方法估计的环境噪声通常在1 Hz以上的频率下显示出高噪声水平。在近场(<50km)中,我们发现该网络检测到局部震级为2.2级的地震事件,信噪比(SNR)大于4。如果可能的话,提高网络检测阈值需要在噪声较小的位置使用更多RS站来加密网络。尽管存在这些局限性,但该混合网络提供了近场数据,这些数据对于快速了解2021年8月14日7.2级地震主震的机制、近实时监测其余震序列以及日常监测海地背景地震活动至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring of Local Earthquakes in Haiti Using Low-Cost, Citizen-Hosted Seismometers and Regional Broadband Stations
Seismic monitoring in Haiti is currently provided by a mixed network of low-cost Raspberry Shake (RS) seismic stations hosted by citizens, and short-period and broadband stations located mainly in neighboring countries. The level of earthquake detection is constantly improving for a better spatio-temporal distribution of seismicity as the number of RS increases. In this article, we analyze the impact of the quality of the signals recorded by the RS—low-cost seismometers with the smallest magnitude that the network can detect by studying the ambient noise level at these stations. Because the RS stations are installed as part of a citizen-science project, their ambient noise estimated by the power spectral density (PSD) method often shows a high-noise level at frequencies above 1 Hz. In the near field (<50 km), we show that the network detects seismic events of local magnitude on the order of 2.2 with signal-to-noise ratios (SNRs) greater than 4. Improving the network detection threshold requires densifying the network with more RS stations in locations that are less noisy, if possible. In spite of these limitations, this mixed network has provided near-field data essential to rapidly understand the mechanism of the mainshock of the 14 August 2021 Mw 7.2 earthquake, to monitor its sequence of aftershocks in near-real time, and to monitor background seismicity in Haiti on a routine basis.
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
Seismological Research Letters
Seismological Research Letters 地学-地球化学与地球物理
CiteScore
6.60
自引率
12.10%
发文量
239
审稿时长
3 months
期刊介绍: Information not localized
×
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