Expanding moment magnitude dataset for earthquake magnitudes homogenization

IF 2.3 4区 地球科学 Acta Geophysica Pub Date : 2024-04-15 DOI:10.1007/s11600-024-01317-3
Afaf Boudebouda, Allaeddine Athmani
{"title":"Expanding moment magnitude dataset for earthquake magnitudes homogenization","authors":"Afaf Boudebouda, Allaeddine Athmani","doi":"10.1007/s11600-024-01317-3","DOIUrl":null,"url":null,"abstract":"<p>To enhance the seismicity analysis within a given seismic region, it is crucial to establish a unified earthquake catalog with minimized uncertainties. The preparation of such a unified catalog needs scaling relationships to convert different magnitude types to a homogeneous magnitude. Among the plethora of magnitude types, the moment magnitude (<i>M</i><sub>w</sub>) stands out as a widely utilized metric in modern earthquake risk and recurrence analysis. Hence, the key objective of this study is to expand the <i>M</i><sub>w</sub> earthquake dataset specifically for the Northern Algeria region and its surrounding areas, providing a valuable resource for researchers investigating seismicity in this region and for earthquake magnitudes homogenization. To achieve this objective, surface wave (<i>M</i><sub>s</sub>) and body wave (<i>m</i><sub>b</sub>) magnitudes obtained from international agencies were standardized to <i>M</i><sub>w</sub> using newly developed regional empirical relationships based on the general orthogonal regression method (GOR). The use of GOR for magnitude conversions has gained popularity in recent years. However, a critical aspect when employing the GOR method is estimating the standard deviations associated with different magnitude types and subsequently determining the error variance ratio. To address this, the present study leverages recent research works to approximate the standard deviations associated with various magnitudes. By calculating the error variance ratio, derived from the estimation of magnitude uncertainties, the general orthogonal regression method was effectively applied to achieve the desired earthquake magnitude homogenization. Notably, this study fills a significant gap in research conducted in Algeria by developing regional empirical relationships using GOR with appropriate values of the error variance ratio. The expanded <i>M</i><sub>w</sub> dataset serves as a dependable resource used for other earthquake magnitudes homogenization, hence the preparation of a more extensive and unified <i>M</i><sub>w</sub> earthquake catalog for Northern Algeria and its neighboring areas.</p>","PeriodicalId":6988,"journal":{"name":"Acta Geophysica","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Geophysica","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11600-024-01317-3","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To enhance the seismicity analysis within a given seismic region, it is crucial to establish a unified earthquake catalog with minimized uncertainties. The preparation of such a unified catalog needs scaling relationships to convert different magnitude types to a homogeneous magnitude. Among the plethora of magnitude types, the moment magnitude (Mw) stands out as a widely utilized metric in modern earthquake risk and recurrence analysis. Hence, the key objective of this study is to expand the Mw earthquake dataset specifically for the Northern Algeria region and its surrounding areas, providing a valuable resource for researchers investigating seismicity in this region and for earthquake magnitudes homogenization. To achieve this objective, surface wave (Ms) and body wave (mb) magnitudes obtained from international agencies were standardized to Mw using newly developed regional empirical relationships based on the general orthogonal regression method (GOR). The use of GOR for magnitude conversions has gained popularity in recent years. However, a critical aspect when employing the GOR method is estimating the standard deviations associated with different magnitude types and subsequently determining the error variance ratio. To address this, the present study leverages recent research works to approximate the standard deviations associated with various magnitudes. By calculating the error variance ratio, derived from the estimation of magnitude uncertainties, the general orthogonal regression method was effectively applied to achieve the desired earthquake magnitude homogenization. Notably, this study fills a significant gap in research conducted in Algeria by developing regional empirical relationships using GOR with appropriate values of the error variance ratio. The expanded Mw dataset serves as a dependable resource used for other earthquake magnitudes homogenization, hence the preparation of a more extensive and unified Mw earthquake catalog for Northern Algeria and its neighboring areas.

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
为地震震级同质化扩展矩震级数据集
为了加强特定地震区内的地震活动性分析,建立一个不确定性最小的统一地震目录至关重要。要编制这样一个统一的地震目录,就需要将不同震级类型转换为同质震级的比例关系。在众多震级类型中,矩震级(Mw)是现代地震风险和复发分析中广泛使用的指标。因此,本研究的主要目标是扩大阿尔及利亚北部地区及其周边地区的 Mw 地震数据集,为研究人员调查该地区的地震活动和地震震级同质化提供宝贵的资源。为实现这一目标,利用基于一般正交回归法(GOR)新开发的区域经验关系,将从国际机构获得的面波(Ms)和体波(mb)震级标准化为 Mw。近年来,使用 GOR 进行震级转换的做法越来越流行。然而,在使用 GOR 方法时,一个关键问题是估算与不同幅值类型相关的标准偏差,然后确定误差方差比。为了解决这个问题,本研究利用最新的研究成果来近似计算与各种量级相关的标准偏差。通过计算震级不确定性估算得出的误差方差比,有效地应用了一般正交回归方法,实现了所需的地震震级均质化。值得注意的是,这项研究填补了阿尔及利亚研究中的一个重要空白,即利用具有适当误差方差比值的一般正交回归法建立区域经验关系。扩充后的 Mw 数据集可作为其他地震震级同质化的可靠资源,从而为阿尔及利亚北部及其邻近地区编制更广泛、更统一的 Mw 地震目录。
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
Acta Geophysica
Acta Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.80
自引率
13.00%
发文量
251
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
期刊最新文献
SCP parameters estimation for catalogs with uncertain seismic magnitude values Unveiling the impact of temperature inversions on air quality: a comprehensive analysis of polluted and severe polluted days in Istanbul Petro-elastic model of the multiple pore-crack structure of carbonate rocks based on digital cores Interseismic strain accumulation across the Tuolaishan–Lenglongling segment of the Qilian–Haiyuan fault zone prior to the 2022 Mw 6.7 Menyuan earthquake from Sentinel-1 InSAR time series Level of thermal maturity estimation in unconventional reservoirs using interval inversion and simulating annealing method
×
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