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Refined Locations of The Swarm Earthquakes In The Nový Kostel Focal Zone and Spatial Distribution of The January 1997 Swarm In Western Bohemia, Czech Republic

Migration of Events During The January 1997 Earthquake Swarm (The West Bohemia/Vogtland Region)

Comparison of Absolute and Relative Moment Tensor Solutions For The January 1997 West Bohemia Earthquake Swarm

Statistical Interpretation of Webnet Seismograms By Artificial Neural Nets

Analysis of State of Stress During The 1997 Earthquake Swarm In Western Bohemia

Saxothuringian-Moldanubian Suture and Predisposition of Seismicity In The Western Bohemian Massif

Geophysical Field Pattern in The West Bohemian Geodynamic Active Area

Subsurface Temperature Changes Due to the Crustal Magmatic Activity – Numerical Simulation

Vertical Displacements in the Nový Kostel Seismoactive Area

Cenozoic Intraplate Alkaline Volcanism of Western Bohemia

Studia Geophysica et Geodaetica : Volume 44, Issue 1, January 2000

Studia Geophysica et Geodaetica : Volume 43

Studia Geophysica et Geodaetica : Volume 42

Studia Geophysica et Geodaetica : Volume 41

Statistical Interpretation of Webnet Seismograms By Artificial Neural Nets

Content Provider	Springer Nature Link
Author	Plešinger, Axel Růžek, Bohuslav Boušková, Alena
Copyright Year	2000
Abstract	We employed multilayer perceptrons (MLP), self organizing feature maps (SOFM), and learning vector quantization (LVQ) to reveal and interpret statistically significant features of different categories of waveform parameter vectors extracted from three-component WEBNET velocigrams. In this contribution we present and discuss in a summarizing manner the results of (i) SOFM classification and MLP discrimination between microearthquakes and explosions on the basis of single-station spectral and amplitude parameter vectors, (ii) SOFM/LVQ recognition of initial onset polarities from PV'-waveforms, and (iii) a source mechanism study of the January 1997 microearthquake swarm based on SOFM classification of combined multi-station PV-onset polarity and SH/PVamplitude ratio (CPA) data. Unsupervised SOFM classification of 497 NKC seismograms revealed that the best discriminants are pure spectral parameter vectors for the recognition of microearthquakes (reliability 95% with 30 spectral parameters), and mixed amplitude and spectral parameter vectors for the recognition of explosions (reliability 98% with 41 amplitude and 30 spectral parameters). The optimal MLP, trained with the standard backpropagation error method by one randomly selected half of a set of 312 mixed (7 amplitude and 7 spectral) single-station (NKC) microearthquake and explosion parameter vectors and tested by the other half-set, and vice versa, correctly classified, on average, 99% of all events. From a set of NKC PV-waveform vectors for 375 events, the optimal LVQ net correctly classified, on average, 98% of all up and 97% of all down onsets, and assigned the likely correct polarity to 85% of the onsets that were visually classified as uncertain. Optimal SOFM architectures categorized the CPA parameter vector sets for 145 January 97 events individually for each of five stations (KOC, KRC, SKC, NKC, LAC) quite unambiguously and stable into three statistically significant classes. The nature of the coincidence of these classes among the stations that provided most reliable mechanism-relevant information (KOC, KRC, SKC) points at the occurence of further seven statistically significant subclassses of mechanisms during the swarm. The ten ‘neural’ classes of focal mechanisms coincide fairly well with those obtained by moment tensor inversion of P and SH polarities and amplitudes extracted from the seismograms interactively. The obtained results, together with those of refined hypocenter location, imply that the focal area consisted of three dominant faults and at least seven subfaults within a volume of not more than 1 km in diameter that likely were seismically activated by vertical stress from underneath.
Starting Page	251
Ending Page	271
Page Count	21
File Format	PDF
ISSN	00393169
Journal	Studia Geophysica et Geodaetica
Volume Number	44
Issue Number	2
e-ISSN	15731626
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2000-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Structural Geology Geophysics/Geodesy Meteorology/Climatology
Content Type	Text
Resource Type	Article
Subject	Geochemistry and Petrology Geophysics

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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