Methods and Applications of Signal Processing in Seismic Network Operations / Edition 1

by Tetsuo Takanami, Genshiro Kitagawa

Overview

This book deals with various theoretical and practical methods for real-time automatic signal processing in local (and regional) seismic networks and associated software developments, including extraction of small seismic signal from noisy observation by piecewise modeling and self-organizing state space modeling, determination of arrival time of S wave by locally multivariate stationary AT modeling, automatic interpretation of seismic signal by combining cumulativ sum and simulative annealing (CUSUM-SA), AR-filtering for local and teleseismic events, the currently high sensitivity seismic network running in Japan (Hi-net), PC-based computer package for automatic detection and location of earthquakes, real-time automatic seismic data-processing in seismic network running in eastern Sicily (Italy), the SIL (South Iceland Lowland) seismological data acquisition system and routine analysis in Iceland and Sweden.

Product Details

ISBN-13:	9783540437185
Publisher:	Springer Berlin Heidelberg
Publication date:	12/05/2002
Series:	Lecture Notes in Earth Sciences , #98
Edition description:	2003
Pages:	270
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Extraction of small seismic signal by state space modeling.- Multivariate time series model to estimate arrival times of S waves.- Automatic interpretation of regional short period seismic signals using CUSUM-SA algorithms.- Application of Autoregressive processing to the analysis of seismograms.- Hi-net: High sensitivity seismograph network, Japan.- A PC-based computer package for automatic detection and location of earthquakes: Application to a seismic network in eastern sicity (Italy).- The SIL seismological data acquisition system —As operated in Iceland and in Sweden—.- Microearthquake analysis at local seismic networks in Iceland and Sweden and earthquake precursors.- Single station real-time P and S phase pickers for seismic observatories.- Recognizing explosion sites using self-organizing properties of their temporal and spatial shooting practice.- Automatic hypocenter location at times of extremely high seismic activity.- Application of pattern recognition to seismic event discrimination.- Extraction of hydrological anomalies related to earthquakes.- On the realtime monitoring of the long-period seismic wavefield.