نتایج جستجو برای: seismic network

تعداد نتایج: 706782  

2009
J. A. RIAL C. TANG K. STEFFEN

The steep increase in Greenland’s glacial earthquake activity detected by the Global Seismographic Network since the late 1990s suggests that a close inspection of these events might provide clues to the nature and origin of such seismic activity. Here we discuss the detection of large, unexpected seismic events of extraordinarily long duration (10–40min) occurring about once every 2 days, and ...

2005
Peter A. Dowd Eulogio Pardo-Igúzquiza

The exact locations of horizons that separate geologic sequences are known only at physically sampled locations (e.g., borehole intersections), which, in general, are very sparse. 3D seismic data, on the other hand, provide complete coverage of a volume of interest with the possibility of detecting the boundaries between formations with, for example, contrasted acoustic impedance. Detection of ...

2018
Corentin Caudron Robert S. White Robert G. Green Jennifer Woods Clare Donaldson Tim Greenfield Eleonora Rivalta Bryndís Brandsdóttir

Magma is transported in brittle rock through dikes and sills. This movement may be accompanied by the release of seismic energy that can be tracked from the Earth’s surface. Locating dikes and deciphering their dynamics is therefore of prime importance in understanding and potentially forecasting volcanic eruptions. The Seismic Amplitude Ratio Analysis (SARA) method aims to track melt propagati...

2009
J. Deparis

This study reviews seismograms from 10 rock-fall events recorded between 1992 and 2001 by the permanent seismological network Sismalp in the French Alps. A new seismic magnitude scale was defined, which allowed us to compare and classify ground-motion vibrations generated by these Alpine rock-falls. Each rock-fall has also been characterized by its ground-motion duration t30 at an epicentral di...

2017
Håkon Austrheim Kristina G Dunkel Oliver Plümper Benoit Ildefonse Yang Liu Bjørn Jamtveit

Fractures and faults riddle the Earth's crust on all scales, and the deformation associated with them is presumed to have had significant effects on its petrological and structural evolution. However, despite the abundance of directly observable earthquake activity, unequivocal evidence for seismic slip rates along ancient faults is rare and usually related to frictional melting and the formati...

2015
Zhang Xiangyang Wen Ling

3D visualization technology makes full use of 3D seismic information and properties. Using 3D graphics to describe all kinds of complex data fields and the data relation can be easily perceived, it is an important method of seismic and geological research. In petroleum exploration, the high performance graphics workstations are deployed to complete the interpretation work. The traditional appli...

2004
Vera Schulte-Pelkum Paul S. Earle Frank L. Vernon

[1] We measure direction and amplitude of ocean-generated continuous seismic noise in the western United States. Slowness direction of the noise is determined using array beamforming, and particle motion direction from individual three-component stations. We find two surprising results. First, the noise is highly monodirectional at all sites, regardless of coastal distance. A single narrow gene...

2017
Jesús M. Ibáñez Alejandro Díaz-Moreno Janire Prudencio Daria Zandomeneghi William Wilcock Andrew Barclay Javier Almendros Carmen Benítez Araceli García-Yeguas Gerardo Alguacil

Deception Island volcano (Antarctica) is one of the most closely monitored and studied volcanoes on the region. In January 2005, a multi-parametric international experiment was conducted that encompassed both Deception Island and its surrounding waters. We performed this experiment from aboard the Spanish oceanographic vessel 'Hespérides', and from five land-based locations on Deception Island ...

Journal: :IEEE Trans. Signal Processing 1998
Yair Shimshoni Nathan Intrator

We examine a classification problem in which seismic waveforms of natural earthquakes are to be distinguished from waveforms of man-made explosions. We present an integrated classification machine (ICM), which is a hierarchy of artificial neural networks (ANN’s) that are trained to classify the seismic waveforms. In order to maximize the gain of combining the multiple ANN’s, we suggest construc...

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