Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data

IF 4.2 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Natural Hazards and Earth System Sciences Pub Date : 2023-05-15 DOI:10.5194/nhess-23-1805-2023
Andrea Antonucci, A. Rovida, V. D'Amico, D. Albarello
{"title":"Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data","authors":"Andrea Antonucci, A. Rovida, V. D'Amico, D. Albarello","doi":"10.5194/nhess-23-1805-2023","DOIUrl":null,"url":null,"abstract":"Abstract. A methodology to detect local incompleteness of\nmacroseismic intensity data at the local scale is presented. In particular,\nthe probability that undocumented effects actually occurred at a site is\ndetermined by considering intensity prediction equations (in their\nprobabilistic form) integrated by observations relative to known events\ndocumented at surrounding sites. The outcomes of this analysis can be used\nto investigate how representative and known the seismic histories of\nlocalities are (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of\nthe considered sites, the effects of intensity ≥ 6 should most probably\nhave occurred at least once, but they are not contained in the current\nversion of the Italian macroseismic databases. In a few cases, instead, the\nlack of data may concern higher intensity levels (i.e., ≥ 8). The\ngeographical distribution of potentially lost information reflects the\nheterogeneity of the seismic activity over the Italian territory.\n","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/nhess-23-1805-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract. A methodology to detect local incompleteness of macroseismic intensity data at the local scale is presented. In particular, the probability that undocumented effects actually occurred at a site is determined by considering intensity prediction equations (in their probabilistic form) integrated by observations relative to known events documented at surrounding sites. The outcomes of this analysis can be used to investigate how representative and known the seismic histories of localities are (i.e., the list of documented effects through time). The proposed approach is applied to the Italian area. The analysis shows that, at most of the considered sites, the effects of intensity ≥ 6 should most probably have occurred at least once, but they are not contained in the current version of the Italian macroseismic databases. In a few cases, instead, the lack of data may concern higher intensity levels (i.e., ≥ 8). The geographical distribution of potentially lost information reflects the heterogeneity of the seismic activity over the Italian territory.
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
寻找未记录的地震效应:意大利大地震数据的概率分析
摘要提出了一种在局部尺度上检测大地震烈度数据局部不完全性的方法。特别是,通过考虑强度预测方程(以概率形式)来确定现场实际发生未记录影响的概率,该方程由与周围现场记录的已知事件相关的观测结果综合而成。该分析的结果可用于调查局部地震历史的代表性和已知程度(即随时间变化的记录影响列表)。建议的方法适用于意大利地区。分析表明,在大多数考虑的地点,强度≥ 6最有可能至少发生过一次,但它们不包含在当前版本的意大利宏观地震数据库中。相反,在少数情况下,数据不足可能涉及更高的强度水平(即≥ 8) 。潜在丢失信息的地理分布反映了意大利境内地震活动的持续性。
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
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences 地学-地球科学综合
CiteScore
7.60
自引率
6.50%
发文量
192
审稿时长
3.8 months
期刊介绍: Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.
期刊最新文献
Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling Total water levels along the South Atlantic Bight during three along-shelf propagating tropical cyclones: relative contributions of storm surge and wave runup Wind as a natural hazard in Poland The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households Climatological occurrences of hail and tornadoes associated with mesoscale convective systems in the United States
×
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