Evaluation of the earthquake monitoring network in Taiwan

IF 1.6 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Journal of Seismology Pub Date : 2023-07-20 DOI:10.1007/s10950-023-10162-8
Salvatore Scudero, Antonino D’Alessandro, Anna Figlioli
{"title":"Evaluation of the earthquake monitoring network in Taiwan","authors":"Salvatore Scudero,&nbsp;Antonino D’Alessandro,&nbsp;Anna Figlioli","doi":"10.1007/s10950-023-10162-8","DOIUrl":null,"url":null,"abstract":"<div><p>In this work, we perform an evaluation of the coverage of the earthquake monitoring network of Taiwan. The capability of a general network is a function of an adequate number of optimally distributed nodes. For this case study, the evaluation is performed with a statistical approach which includes descriptive spatial statistics in combination with point pattern techniques. The spatial distribution of the nodes of the earthquake monitoring network is analyzed in comparison with the distribution of seismicity, completeness magnitude, active seismogenic sources, seismic hazard, and population distribution. All these data can be put in relationship with the objectives of an earthquake monitoring network; therefore, they can be used, in turn, to retrieve information about the consistency of the network itself. In particular, we investigate the “Real-time Seismic Monitoring Network” and the “Strong-Motion Earthquake Observation Network,” each one characterized by its own objectives, and therefore respectively compared with external information related to their purposes such as seismicity, seismogenic sources, seismic hazard, and population distribution. This simple and reliable approach reveals the high quality of the networks established in Taiwan. In general, it is able to provide quantitative information on the coverage of any type of network, identifying possible critical areas and addressing their future development.</p></div>","PeriodicalId":16994,"journal":{"name":"Journal of Seismology","volume":"27 4","pages":"643 - 657"},"PeriodicalIF":1.6000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10950-023-10162-8.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Seismology","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s10950-023-10162-8","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

In this work, we perform an evaluation of the coverage of the earthquake monitoring network of Taiwan. The capability of a general network is a function of an adequate number of optimally distributed nodes. For this case study, the evaluation is performed with a statistical approach which includes descriptive spatial statistics in combination with point pattern techniques. The spatial distribution of the nodes of the earthquake monitoring network is analyzed in comparison with the distribution of seismicity, completeness magnitude, active seismogenic sources, seismic hazard, and population distribution. All these data can be put in relationship with the objectives of an earthquake monitoring network; therefore, they can be used, in turn, to retrieve information about the consistency of the network itself. In particular, we investigate the “Real-time Seismic Monitoring Network” and the “Strong-Motion Earthquake Observation Network,” each one characterized by its own objectives, and therefore respectively compared with external information related to their purposes such as seismicity, seismogenic sources, seismic hazard, and population distribution. This simple and reliable approach reveals the high quality of the networks established in Taiwan. In general, it is able to provide quantitative information on the coverage of any type of network, identifying possible critical areas and addressing their future development.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
台湾地震监测台网评价
本文对台湾地震监测台网的覆盖范围进行了评估。一般网络的能力是适当数量的最佳分布节点的函数。对于这个案例研究,评估是用统计方法进行的,其中包括描述性空间统计与点模式技术的结合。对比地震活动性分布、完整震级分布、活动发震源分布、地震危险性分布和人口分布,分析了地震监测台网节点的空间分布。所有这些数据都可以与地震监测网的目标联系起来;因此,可以反过来使用它们来检索有关网络本身一致性的信息。特别地,我们研究了“实时地震监测网”和“强震观测网”,每一个都有自己的目标,因此分别与地震活动性、发震源、地震危险性和人口分布等与其目的相关的外部信息进行了比较。这种简单可靠的方法显示了台湾建立的网络的高质量。总的来说,它能够提供关于任何类型网络覆盖范围的数量信息,确定可能的关键领域并处理其未来发展问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Seismology
Journal of Seismology 地学-地球化学与地球物理
CiteScore
3.30
自引率
6.20%
发文量
67
审稿时长
3 months
期刊介绍: Journal of Seismology is an international journal specialising in all observational and theoretical aspects related to earthquake occurrence. Research topics may cover: seismotectonics, seismicity, historical seismicity, seismic source physics, strong ground motion studies, seismic hazard or risk, engineering seismology, physics of fault systems, triggered and induced seismicity, mining seismology, volcano seismology, earthquake prediction, structural investigations ranging from local to regional and global studies with a particular focus on passive experiments.
期刊最新文献
Source parameters of the May 28, 2016, Mihoub earthquake (Mw 5.4, Algeria) deduced from Bayesian modelling of Sentinel-1 SAR data Fault imaging using earthquake sequences: a revised seismotectonic model for the Albstadt Shear Zone, Southwest Germany A logic-tree based probabilistic seismic hazard assessment for the central ionian islands of cephalonia and ithaca (Western Greece) Developing machine learning-based ground motion models to predict peak ground velocity in Turkiye Fault structures of the Haichenghe fault zone in Liaoning, China from high-precision location based on dense array observation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1