Seismic detections of the 15 February 2013 Chelyabinsk meteor from the dense ChinArray

Li, Lü; Wang, Baoshan; Peng, Zhigang; Wang, Weitao

doi:10.1007/s11589-016-0159-y

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…Instead of complex fault rupture processes superimposed to create an intricate waveform, here is a simple "fault" mechanism, providing something similar to delta short-impulse excitation. From recording distances, one can infer that the propagation of resulting seismic waves took place mostly through the mantle [41][42][43][44][45][46][47][48][49][50].…”

Section: Elementary Fluctuation-formal and Real Meaningmentioning

confidence: 99%

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Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

Babić,

Babić

2023

Applied Sciences

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Proper regulative in earthquake risk reduction, hazard assessment, earthquake resistant design and construction of structures, should be under perpetual improvement. They are mainly the result of earthquake study and analysis of post-seismic effects. In this context, a new frame for seismogram analysis is proposed, based on its decomposition into elementary and single (positive and negative) fluctuations (EF/SF). Decomposition enables rearrangement, both providing the frame for defining new attributes, where several main ones are proposed and elaborated in the paper: fan diagram of EFs structural axes; R- or RQ-envelope, formed over positive and over negative peaks of ordered SFs; two forms of difference functions of positive and negative R/RQ-envelopes, as a measure of seismogram’s (a)symmetry, in respect to t-axis; distributions of SFs durations. Several others are in perspective. Analogy between R-envelope and seismogram’s spectrum is considered from the aspects of arranged elements, and asymptotic behavior of these two functional attributes. More objective definition of seismogram duration is proposed, determined by linear regression across the scatter plot of SFs peaks. R-envelope showed itself as an invariant in the seismogram population, and the distribution of SFs durations as well. Results are presented through extensive graphics, backed with mathematical description. Thorough discussion of the concept and results is given.

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Section: Elementary Fluctuation-formal and Real Meaningmentioning

confidence: 99%

“…Details about the shockwave 'fault' mechanism can be found in [48]. Apart from the GFZ graphical account of the event [43,45], there are recordings, mostly taken as teleseismic, with arrays in China and the USA [49,50]. This 'fault' mechanism is, by all means, very specific.…”

Section: Elementary Fluctuation-formal and Real Meaningmentioning

confidence: 99%

Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

Babić,

Babić

2023

Applied Sciences

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“…There are also studies [e.g., Li et al. (2016)], where authors had pick seismoacoustic signals mixed in with seismic ones. Using a source separation technique, one can potentially separate both seismic and acoustic waves for analysis Ambient noise tomography .…”

Section: Introductionmentioning

confidence: 99%

“…This problem arises especially in nuclear verification (Hoffmann et al, 1999), where seismic data are used to estimate the location and the yielding mass of the potential nuclear explosion. There are also studies [e.g., Li et al (2016)],…”

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confidence: 99%

SEDENOSS: SEparating and DENOising Seismic Signals With Dual‐Path Recurrent Neural Network Architecture

2022

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Seismologists have to deal with overlapping and noisy signals. Techniques such as source separation can be used to solve this problem. Over the past few decades, signal processing techniques used for source separation have advanced significantly for multi‐station settings. But not so many options are available when it comes to single‐station data. Using Machine Learning, we demonstrate the possibility of separating signals for single‐station, one‐component seismic recordings. The technique that we use for seismic signal separation is based on a dual‐path recurrent neural network which is applied directly to the time domain data. Such source separation may find applications in most tasks of seismology, including earthquake analysis, aftershocks, nuclear verification, seismo‐acoustics, and ambient‐noise tomography. We train the network on seismic data from STanford EArthquake Dataset and demonstrate that our approach is (a) capable of denoising seismic data and (b) capable of separating two earthquake signals from one another. In this work, we show that Machine Learning is useful for earthquake‐induced source separation. We provide a reproducible research repository with the algorithms here: https://github.com/crimeacs/source-separation.

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Clockwise extrusion of the Sichuan‒Yunnan block toward the Red River Fault in the southeastern Tibetan Plateau

Zhou

2024

Front. Earth Sci.

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The Xiaojiang Fault and the Red River Fault, which are located on the southeastern margin of the Tibetan Plateau, are the eastern and southern boundaries of the Sichuan–Yunnan Block, respectively. The relationship between these two faults is highly important for the study on the tectonic evolution and seismic risk of the southeastern margin of the Tibetan Plateau. Using the digital elevation model (DEM) data, we extracted and analyzed the maximum elevation, peak steepness index, maximum slope, and relatively flat surface of the Ailaoshan Shear Zone on the southwest side of the Red River Fault. The results revealed that the geomorphic indices result around Yuanjiang were significantly lower than those on the northern and southern sides of Yuanjiang. On the basis of lithology, climate and tectonics, it is inferred that tectonic activity is the main factor controlling landform development. On the basis of existing geophysical and geomorphic survey results in this area, a geodynamic model of this area was constructed: in the mid-Miocene, tectonic inversion of the Red River Fault occurred, and material from the Tibetan Plateau flowed into the Sichuan‒Yunnan Block around the East Himalayan Syntax. The resulting extrusion caused the Red River Fault to bend of ∼50 km; in the early Pliocene, the middle and lower crust broke through the barrier and entered the interior of the Ailaoshan Shear Zone. Because of the extrusion of the middle and lower crust, the role of the Red River Fault as the boundary has weakened.

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Seismic detections of the 15 February 2013 Chelyabinsk meteor from the dense ChinArray

Cited by 3 publications

References 27 publications

Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

Seismogram Rearrangement as a Perspective Basis for Defining New Attributes

SEDENOSS: SEparating and DENOising Seismic Signals With Dual‐Path Recurrent Neural Network Architecture

Clockwise extrusion of the Sichuan‒Yunnan block toward the Red River Fault in the southeastern Tibetan Plateau

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