Near real-time automatic moment magnitude estimation

被引:0
作者
A. Gallo
G. Costa
P. Suhadolc
机构
[1] AREA Science Park,Seismological Research and Monitoring Group, Department of Mathematics and Geosciences
[2] University of Trieste,undefined
来源
Bulletin of Earthquake Engineering | 2014年 / 12卷
关键词
Moment magnitude; Seismic moment; Source parameters; Strong motion;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper we describe a stable automatic method to estimate in real time the seismic moment, moment magnitude and corner frequency of events recorded by a network comprising broad-band and accelerometer sensors. The procedure produces reliable results even for small-magnitude events MW≈3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {M}_{\mathrm{W}}\approx 3$$\end{document}. The real-time data arise from both the Transfrontier network at the Alps-Dinarides junction and from the Italian National Accelerometric Network (RAN). The data is pre-processed and the S-wave train identified through the application of an automatic method, which estimates the arrival times based on the hypocenter location, recording site and regional velocity model. The transverse component of motion is used to minimize conversion effects. The source spectrum is obtained by correcting the signals for geometrical spreading and intrinsic attenuation. Source spectra for both velocity and displacement are computed and, following Andrews (1986), the seismic moment and the first estimate of the corner frequency, f0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$f_{0}$$\end{document}, derived. The procedure is validated using the recordings of some recent moderate earthquakes (Carnia 2002; Bovec 2004; Parma 2008; Aquila 2009; Macerata 2009; Emilia 2012) and the recordings of some minor events in the SE Alps area for which independent seismic moment and moment magnitude estimates are available. The results obtained with a dataset of 843 events recorded by the Transfrontier and RAN networks show that the procedure is reliable and robust for events with MW≥3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {M}_{\mathrm{W}}\ge 3$$\end{document}. The estimates of f0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$f_{0}$$\end{document} are less reliable. The results show a scatter, principally for small events with MW≤3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {M}_{\mathrm{W}}\le 3$$\end{document}, probably due to site effects and inaccurate locations.
引用
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页码:185 / 202
页数:17
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[31]   Integration of Single-Frequency GNSS and Strong-Motion Observations for Real-Time Earthquake Monitoring [J].
Tu, Rui ;
Zhang, Rui ;
Zhang, Pengfei ;
Liu, Jinhai ;
Lu, Xiaochun .
REMOTE SENSING, 2018, 10 (06)
[32]   GNSS seismometer: Seismic phase recognition of real-time high-rate GNSS deformation waves [J].
Nie, Zhaosheng ;
Zhang, Rui ;
Liu, Gang ;
Jia, Zhige ;
Wang, Dijin ;
Zhou, Yu ;
Lin, Mu .
JOURNAL OF APPLIED GEOPHYSICS, 2016, 135 :328-337
[33]   Operational Volcanic Ash Cloud Modeling: Discussion on Model Inputs, Products, and the Application of Real-Time Probabilistic Forecasting [J].
Webley, P. W. ;
Steensen, T. .
LAGRANGIAN MODELING OF THE ATMOSPHERE, 2012, 200 :271-+
[34]   Near-Real-Time Detection of Tephra Eruption Onset and Mass Flow Rate Using Microwave Weather Radar and Infrasonic Arrays [J].
Marzano, Frank S. ;
Picciotti, Errico ;
Di Fabio, Saverio ;
Montopoli, Mario ;
Mereu, Luigi ;
Degruyter, Wim ;
Bonadonna, Costanza ;
Ripepe, Maurizio .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (11) :6292-6306
[35]   Real-time tephra-fallout accumulation rates and grain-size distributions using ASHER (ASH collector and sizER) disdrometers [J].
Marchetti, Emanuele ;
Poggi, Pasquale ;
Delle Donne, Dario ;
Pistolesi, Marco ;
Bonadonna, Costanza ;
Bagheri, Gholamhossein ;
Pollastri, Stefano ;
Thivet, Simon ;
Gheri, Duccio ;
Gurioli, Lucia ;
Harris, Andrew ;
Hoskuldsoon, Armann ;
Ripepe, Maurizio .
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH, 2022, 429