DOI: 10.1002/2016GL069572
论文题名: Real-time detection, location, and characterization of rockslides using broadband regional seismic networks
作者: Manconi A. ; Picozzi M. ; Coviello V. ; De Santis F. ; Elia L.
刊名: Geophysical Research Letters
ISSN: 0094-8938
EISSN: 1944-8669
出版年: 2016
卷: 43, 期: 13 起始页码: 6960
结束页码: 6967
语种: 英语
英文关键词: landslide monitoring
; rapid response
; rockslide-induced seismicity
Scopus关键词: Earthquakes
; Geophysics
; Induced Seismicity
; Seismology
; Signal detection
; Early warning
; Empirical relationships
; Landslide monitoring
; Local magnitude
; Northern Italy
; Rapid response
; Real-time detection
; Seismic networks
; Landslides
英文摘要: We propose a new real-time approach to detect, locate, and estimate the volume of rockslides by analyzing waveforms acquired from broadband regional seismic networks. The identification of signals generated by rockslides from other sources, such as natural and/or induced earthquakes, is accomplished by exploiting the ratio between local magnitudes (ML) and duration magnitudes (MD). We found that signals associated with rockslides have ML/MD < 0.8, while for earthquakes ML/MD ≅ 1. In addition, we derived an empirical relationship between MD and rockslide volumes, obtaining a preliminary characterization of rockslide volume within seconds after their occurrence. The key points of this study are presented by testing the hypothesis on a recent rockslide event that occurred in northern Italy. We discuss also the potential evolution of the methodology for early warning and/or rapid response purposes. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978138197&doi=10.1002%2f2016GL069572&partnerID=40&md5=01b54144828c709a001ccd05f35d9a50
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9901
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Earth Sciences, Swiss Federal Institute of Technology, Zurich, Switzerland
Recommended Citation:
Manconi A.,Picozzi M.,Coviello V.,et al. Real-time detection, location, and characterization of rockslides using broadband regional seismic networks[J]. Geophysical Research Letters,2016-01-01,43(13).