We provide an introduction to the use of the spectral-element method (SEM) in seismology. Following a brief review of the basic equations that govern seismic wave propagation, we discuss in some detail how these equations may be solved numerically based upon the SEM to address the forward problem in seismology. Examples of synthetic seismograms calculated based upon the SEM are compared to data...

Except for specialists, planetary seismology refers first to Earth seismology, and stimulates thoughts about earthquakes, tsunamis, and all such rare and brutal events that everyone knows by experience and/or fears. According to etymology, seismology shakes and shocks our bodies and our minds. According to semantics, all languages make the difference between “superficial” and “deep” things, so ...

The general ring laser operation model is adopted for the large gyroscopes C-II and G. An extended set of auxiliary sensors information is used for the long time period data modeling and ring laser behavior analysis with respect to the ideal case. Both instrumental errors and orientational effects are estimated and compensated where possible. The instrumental stability improved approximately fo...

Seismic Data Server Application Service (SDSAS) is developed on the SEEGRID infrastructure in order to serve massive seismic data that are archived from national seismology centers using a high level interface that is easy to use and adapt. It serves official lists of earthquakes, stations and waveform data collected from various South Eastern European (SEE) countries. SDSAS contains three main...

■ Abstract Real-time seismology refers to a practice in which seismic data are collected and analyzed quickly after a significant seismic event, so that the results can be effectively used for postearthquake emergency response and early warning. As the technology of seismic instrumentation, telemetry, computers, and data storage facility advances, the real-time seismology for rapid postearthqua...

Computer simulations are invaluable tools for scientific discovery. However, accurate often slow to execute, which limits their applicability extensive parameter exploration, large-scale data analysis, and uncertainty quantification. A promising route accelerate by building fast emulators with machine learning requires large training datasets, can be prohibitively expensive obtain simulations. ...

Understanding human behavior in the context of exploration and navigation is an important but challenging problem. Such understanding can help in the design of safe structures and spaces that implicitly aid humans during evacuation or other emergency situations. In particular, the role that memory plays in this process is something that is crucial to understand. In this paper, we develop a nove...

Misinformation carries the potential for immense damage to public understanding of science and evidence-based decision making at an individual policy level. Our research explores following questions within seismology: which claims can be considered misinformation, are supported by a consensus, still under scientific debate? Consensus debate important quantify, because where levels consensus on ...

Highly clustered event sequences are observed in certain types of crime data, such as burglary and gang violence, due to crime-specific patterns of criminal behavior. Similar clustering patterns are observed by seismologists, as earthquakes are well known to increase the risk of subsequent earthquakes, or aftershocks, near the location of an initial event. Space–time clustering is modeled in se...

SUMMARY Denoising and onset time picking of signals are essential before extracting source information from collected seismic/microseismic data. We proposed an advanced deep dual-tasking network (DDTN) that integrates these two procedures sequentially to achieve the optimal performance. Two homo-structured encoder–decoder networks with specially designed structures parameters connected in serie...