Earthquake forecasting system based on earth changing magnetic field

Abstract

The invention discloses an earthquake forecasting system based on an earth changing magnetic field, which comprises low-frequency magnetic field front-end observation equipment and multiple levels of analysis forecasting systems, and is characterized in that each level of analysis forecasting system at least comprises an analysis forecasting server; in the adjacent levels of analysis and forecasting servers, a high-level analysis and forecasting server is connected with multiple low-level analysis and forecasting servers, and a lowest-level analysis and forecasting server is connected with multiple pieces of low-frequency magnetic field front-end observation equipment; the plurality pieces of low-frequency magnetic field front-end observation equipment are used for collecting earth low-frequency magnetic field data of different test points. The data blocks of all the measuring points in the same time period are spatially correlated, obtained spatial correlation results are stored in corresponding data structures, and the data structures further comprise time information, geological structure information, geographic information and earthquake magnitude information. And the success rate of earthquake short-term and imminent forecasting is improved.

Description

technical field [0001] The invention relates to the field of earthquake observation, and more specifically, relates to an earthquake prediction system based on the changing magnetic field of the earth. Background technique [0002] At present, short-term earthquake prediction has been very difficult. Time, location, and magnitude are the three elements of earthquake prediction. It is very difficult to predict only one or two of these elements globally. [0003] At present, there are three mainstream methods for earthquake precursor monitoring, which are fluid observation, deformation observation and magnetoelectric observation. Among them, the fluid observation is subject to many external disturbances and uncertain factors; the deformation observation data is of high quality, but it is generally used as the basis for medium and long-term forecasting; and the magnetoelectric observation, under the existing conditions and observation environment, has no significant observatio...

AI Technical Summary

Problems solved by technology

Among them, the fluid observation is subject to many external disturbances and uncertain factors; the deformation observation data is of high quality, but it is generally used as the basis for medium and long-term forecasting; and the magnetoelectric observation, under the existing conditions and observation environment, has no significant observational value. not much

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