A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)

D. Scafidi, A. Viganò, J. Boaga, V. Cascone, S. Barani, D. Spallarossa, G. Ferretti, Mauro Carli, Giancarlo De Marchi
{"title":"A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)","authors":"D. Scafidi, A. Viganò, J. Boaga, V. Cascone, S. Barani, D. Spallarossa, G. Ferretti, Mauro Carli, Giancarlo De Marchi","doi":"10.5194/nhess-24-1249-2024","DOIUrl":null,"url":null,"abstract":"Abstract. The micro-electromechanical system (MEMS)-based seismic network of Trentino (NE Italy) consists of 73 low-cost accelerometers installed close to inhabited areas. These sensors have a suitable sensitivity to detect moderate-to-strong earthquakes but are able to record even weaker seismicity. The densely distributed peak ground acceleration values recorded by MEMS and other types of stations are integrated within the existing seismic monitoring procedure in order to automatically obtain a complete set of strong motion parameters a few minutes after the origin time. The exposure of the resident population and critical buildings is estimated by quantifying the different levels of shaking, which is expressed according to the Mercalli–Cancani–Sieberg intensity scale. These types of results, summarized in synthetic portable document format (PDF), can be useful for civil protection purposes to evaluate the state of emergency after a strong earthquake in a timely manner and to choose how and where to activate first aid measures and targeted structural monitoring.\n","PeriodicalId":508073,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":"68 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/nhess-24-1249-2024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract. The micro-electromechanical system (MEMS)-based seismic network of Trentino (NE Italy) consists of 73 low-cost accelerometers installed close to inhabited areas. These sensors have a suitable sensitivity to detect moderate-to-strong earthquakes but are able to record even weaker seismicity. The densely distributed peak ground acceleration values recorded by MEMS and other types of stations are integrated within the existing seismic monitoring procedure in order to automatically obtain a complete set of strong motion parameters a few minutes after the origin time. The exposure of the resident population and critical buildings is estimated by quantifying the different levels of shaking, which is expressed according to the Mercalli–Cancani–Sieberg intensity scale. These types of results, summarized in synthetic portable document format (PDF), can be useful for civil protection purposes to evaluate the state of emergency after a strong earthquake in a timely manner and to choose how and where to activate first aid measures and targeted structural monitoring.
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
人口密集地区基于微机电系统(MEMS)的地震网络:快速估算特伦蒂诺(意大利东北部)的暴露地图
摘要特伦蒂诺(意大利东北部)基于微机电系统(MEMS)的地震网络由安装在居民区附近的 73 个低成本加速度计组成。这些传感器具有适当的灵敏度,可探测中强地震,但也能记录甚至更弱的地震。由 MEMS 和其他类型台站记录的密集分布的地面加速度峰值被整合到现有的地震监测程序中,以便在发震时间几分钟后自动获得一整套强震参数。通过量化不同程度的摇晃,估算出居民和重要建筑物的受灾情况,并按照 Mercalli-Cancani-Sieberg 烈度表进行表示。以合成可移植文件格式(PDF)汇总的这类结果可用于民防目的,及时评估强震后的紧急状态,并选择如何以及在何处启动急救措施和有针对性的结构监测。
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
自引率
0.00%
发文量
0
期刊最新文献
Flood occurrence and impact models for socioeconomic applications over Canada and the United States Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults Model-based assessment of climate change impact on inland flood risk at the German North Sea coast caused by compounding storm tide and precipitation events Modelling crop hail damage footprints with single-polarization radar: the roles of spatial resolution, hail intensity, and cropland density A glacial lake outburst flood risk assessment for the Phochhu river basin, Bhutan
×
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:604180095
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