Seismic event time and space gathering mode extraction method based on shared density

Abstract

The invention relates to a seismic event time and space gathering mode extraction method based on shared density. According to the method, time and space shared neighboring seismic events are recognized according to time and space window k neighboring relationships, time and space shared density is estimated according to the time and space shared neighboring relationship, and finally, according to the time and space shared neighboring relationship, high-density seismic events are gathered into clusters. The method has the advantages that a user does not need to set the number and the form of time and space gathering modes of the seismic events, the time and space gathering modes of the seismic events with different densities can be extracted at the same time, the dynamic evolution rule of the seismic events can be found from the space and time coupling view angle, and the time and space gathering modes of the seismic events can be visually represented.

Description

technical field [0001] The invention belongs to the field of spatio-temporal data mining, and relates to a method for extracting spatio-temporal aggregation patterns of seismic events based on shared density. Background technique [0002] Earthquake event is a major natural disaster that affects the social and economic development of human beings and the safety of life and property. It is an important way to reduce the impact of earthquake disasters by analyzing and monitoring the law and mechanism of earthquake outbreaks based on the ground observation data of earthquake events. At present, with the improvement of observation methods, a large amount of seismic event monitoring data has been accumulated, and the accuracy and timeliness of seismic event observation have been greatly improved. The extraction of temporal and spatial aggregation patterns of seismic events is an important content in the analysis of seismic events, and has become an important means to study the d...

AI Technical Summary

Problems solved by technology

However, the space-time density-based method inevitably inherits the limitations of the traditional density-based method, that is, the global threshold setting is difficult to identify clusters with different densities, and it is difficult to distinguish adjacent clusters.

In summary, there is still a lack of an efficient method for extracting spatio-temporal aggregation patterns of seismic events with different densities and shapes.

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