K. V. Kislov

K. V. Kislov
International Institute of Earthquake Prediction Theory and Mathematical Geophysics

About

32
Publications
2,423
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70
Citations
Citations since 2017
15 Research Items
58 Citations
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2017201820192020202120222023051015
2017201820192020202120222023051015

Publications

Publications (32)
Chapter
Rotational seismology is a relatively new area of science, which was formed in the past 20 years. During this time, new instruments were created; interesting data was obtained and verified; and main directions for further development of rotational seismology were identified. Now a much greater number of observations are required for further develop...
Chapter
Seismological study requires data of sufficient quality. To this end, it is necessary to understand how to deal with noise caused by non-seismic sources. It is essential to eliminate or reduce the noise occurring in the seismic devices when external temperatures oscillate. At present, high-performance computers allow solving almost any specific pro...
Chapter
The complexity and versatility of modern research requires the development and improvement of methods and tools for the operational processing of seismic data. Often, the main task in seismic data processing is to efficiently and reliably extract useful components from the recorded signal for their further use. Obviously, in this case, seismologist...
Article
Статья посвящена деталям разработки новой малогабаритной модульной малопотребляющей системы сбора информации, построенной на базе 24-разрядного аналого-цифрового преобразователя. Современные геофизические наблюдения сейчас невозможно себе представить без использования разнообразных электронных систем сбора информации. Какой параметр или явление мы...
Article
In order to study the fine structure of temperature fields in the rock strata, precision narrowband temperature sensors have been designed to measure temperature with an accuracy of at least 0.005C. It is shown that the required sensitivity can be achieved by narrowing the measurement range and application of platinum thermoresistors and 24-bit AD...
Article
The number of seismological studies based on artificial neural networks has been increasing. However, neural networks with one hidden layer have almost reached the limit of their capabilities. In the last few years, there has been a new boom in neuroinformatics associated with the development of third-generation networks, deep neural networks. Thes...
Article
Automatic identification of noisy seismic events is still a problem. The process involves the analysis of complex relationships between data from different sources. Moreover, there are disturbing factors such as poor signal-to-noise ratio, the presence of accidental bursts of man-made noise, and changes in the amplitude and phase of the waves as th...
Conference Paper
Full-text available
In our complex of programs for an ultrashort earthquake warning system we use an algorithm based on the recognition of the first arrival of seismic waves with the help of an artificial neural network. For its correct work it is required to have a large enough data set for qualitative training. To create such a set it is required to put various seis...
Conference Paper
Full-text available
One of the significant current tasks in seismology is the improvement of automated processing of seismic records on a time scale approaching real time. The use of the wavelet transform allows one to simultaneously run any necessary filtering and easily detect a different phase of the input signal that are not visible on the original seismograms, es...
Conference Paper
Full-text available
One of the current tasks of seismology is the improvement of the automated processing of seismic records on a time scale as close to reality. Along with the traditional methods of filtration and processing, using wavelet transform allows to simultaneously conduct any necessary filtering, and easily select a different phase of the input signal. The...
Conference Paper
Full-text available
We present the results of development of methods and algorithms for automatic real time identification of waveforms arrival from local earthquakes in increased level of man-induced noises for the purposes of earthquake early warning.
Conference Paper
Full-text available
Understanding of the seismic background noise is an important step in reducing the noise level of the seismic data. Wind noise refers to vibrations generated by the coupling of wind energy into ground motion. The data demonstrated a consistent correlation between recorded noise levels and wind speed. Signals from desirable events may be obscured by...
Conference Paper
Full-text available
The ultimate goal of processing is to measure the characteristics of a useful signal in a situation where the seismogram is a complicated superposition of very different types of wave motion. The very process of obtaining these characteristics can be viewed as a mathematical problem in its own right. The process is based on a search for patterns th...
Article
Full-text available
Analysis of the problem of seismic event identification at an increased level of noise, by the data of a single sensor or local group of sensors, is made. This problem is the key to development of an ultra-short-term warning system of an earthquake that has occurred. Catastrophic damage and human deaths are usually caused by the sudden character of...
Article
Main barrier on a way of increase quality of seismic observations is the noise oscillations of a ground owing to influence of parameters variations of an environment, which is exhibited in the broad band record. For a reduction of noise influences changes any of an environment parameter, its variations are noted. It serves for hardware or program c...
Article
Full-text available
A very important task for detection of onset times of low amplitude seismic phases is to identify the type of seismic source, or the problem of seismic signal classification. The problem consists in using the seismogram to find the cause of the recorded event, that is, to detect an earthquake in natural noise. The ultimate goal of processing is to...
Article
Full-text available
Automatic identification of earthquake phases, especially the first arrivals, in a record aggravated by numerous noises of manmade origin is a problem of current interest for early warning systems based on a single sensor. In that case the seismic sensor should be installed at the end user, that is, frequently at places having increased noise level...
Article
The development of a new broadband seismometer should begin with preliminary theoretical study that includes, first of all, the investigation of noise which is expected to be generated by the device under the action of fluctuations of environmental factors. This noise limits a frequency band of devices from the long-period side and their dynamic ra...
Article
The chief hazard posed by earthquakes consists in their suddenness. The number of earthquakes annually recorded is in excess of 100,000; of these, over 1000 are strong ones. Great human losses usually occur because no devices exist for advance warning of earthquakes. It is therefore high time that mobile information automatic systems should be deve...
Technical Report
Full-text available
The transfer function of the seismic sensor is not a mathematical constant and can be changed at use of components of the sensor with dispersion of parameters, and also at their leaving from initial (nominal) values called by aging of electronic and mechanical elements, and also under effect of the external factors. Naturally, in that case there is...
Article
We present a detailed analysis of the causes of and consequences from the appearance of additional internal noise in several kinds of seismic instruments due to the elastic elements in the pendulum suspension. We provide specific recommendations as to the changes to be made in instrument design in order to minimize this noise and its sources.

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