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Resonance packet wave spectrum monitoring data-based earthquake prediction method

A technology of monitoring data and earthquake prediction, which is applied to predict the epicenter, magnitude and time of earthquake, which can solve the problems of unidentifiable, difficult to identify signals, and theoretical difficulties, and achieve the effect of improving accuracy

Active Publication Date: 2016-12-07
曾雄飞
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned method still fails to fundamentally solve the problem of earthquake prediction due to many problems such as theoretical difficulties and difficult identification of signals. Moreover, when multiple earthquakes occur, it is even more impossible to identify the source of the earthquake.

Method used

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  • Resonance packet wave spectrum monitoring data-based earthquake prediction method
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  • Resonance packet wave spectrum monitoring data-based earthquake prediction method

Examples

Experimental program
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Effect test

Embodiment 1

[0068] Alaska Earthquake (2016-01-24-10:30:3059.658 / -153.452) (magnitude 7.1). figure 2 Shown is a schematic diagram of the resonant packet spectrum that appeared before the Alaska earthquake.

[0069] Magnetic field strength

[0070] On January 20, 2016, high magnetic field strengths appeared at three adjacent stations: BRW(H), 1078NT; DED(H), 898.2NT; CMO(H), 1295NT. Such high magnetic field strengths are quite rare. Therefore, it is determined that the Alaska earthquake will definitely erupt.

[0071] Magnitude and time of earthquake

[0072] Earthquake magnitude: From the 01-20 wave map, the resonance period is 2.035h, and according to the period-magnitude formula, the magnitude is 7.157. When predicted by this method, it is set at level 7.2.

[0073] The American Geomagnetic Observatory, on January 16, 2016, there was a precursor signal of the Alaska earthquake, and super strong information appeared on the 20th, and it is estimated that the earthquake will erupt on ...

Embodiment 2

[0079] According to the W / M technology of resonance packet spectrum, the earthquake that will occur in New Zealand was predicted on February 12, 2016: magnitude 6.4; epicenter -46.5 / 163; eruption time from the seventh day to the ninth day. For the predicted epicenter location in New Zealand, see Figure 4 shown.

[0080] The New Zealand earthquake broke out on February 15, 2016 (the eighth day of the Lunar New Year), with a magnitude of 6.2 and an epicenter of -49.1 / 164.5. The forecast is very close to the reality. According to the calculation based on the resonance envelope diagram at 6.843 hours before the earthquake, the magnitude should be 6.295. It can be seen that, the day before the earthquake, the location of the epicenter has been completely determined, and the calculation based on various elements is closer to the actual situation.

Embodiment 3

[0082] 2016-04-10, A week-long forecast of earthquakes around the Pacific Ocean that will strike within a week. The magnitude of these earthquakes is greater than or approximately equal to earthquakes of magnitude 5 or above, and the epicenters are located as follows: Figure 5 shown. For some earthquakes with strong signals, key calculations are carried out, such as the Myanmar earthquake, the predicted epicenter is 21N / 96E; the magnitude is 6.6-7.1. The Myanmar earthquake broke out at 2016-04-13-13:55:17, magnitude 7.2 (China), 6.9 (United States); epicenter 23.1N / 94.9E. It is predicted that the epicenter of the Japanese earthquake is 30N / 133E, with a magnitude of 7.1; the Japanese earthquake, 2016-04-1516:25:06, erupted, with a magnitude of 7.0 in the United States and 7.3 in China; the epicenter is 32.8N / 130.7E. On April 15th, the US geomagnetic stations near South America, BOU, FRD, BSL, and SJG, all showed strong geomagnetic signals, especially BSL and SJG. It is predi...

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Abstract

The invention provides a resonance packet wave spectrum monitoring data-based earthquake prediction method. The method includes the following steps that: monitoring precursor stations are established globally; resonance packet monitoring data generated by the monitoring precursor stations for regions where the monitoring precursor stations are located are acquired continuously; acquired resonance waves are aggregated and drawn into a resonance packet wave spectrum by using the waveform characteristics of resonance waves, and at the same time, the time difference of a time when fast waves arrive at the monitoring precursor stations and a time when slow waves arrive at the monitoring precursor stations in the resonance waves is recorded; the scale of an earthquake is predicted through calculating the periods of the resonance waves in a resonance packet, and an earthquake generating time is predicted through the growth waveforms of the resonance waves, and epicentral distances are determined through the time difference of the fast waves and the slow waves in the resonance waves; and the epicentral distances determined by the monitoring precursor stations are drawn into corresponding straight lines, and the intersections of the straight lines are the centers of earthquake regions where earthquakes are predicted to occur, and therefore, early warning notices can be emitted timely. The resonance packet wave spectrum monitoring data-based earthquake prediction method has the advantages of wide applicability and universality. With the method adopted, a long-awaited new era of earthquake prediction will come.

Description

Technical field: [0001] The present invention relates to the technical field of earthquake prediction and forecasting, in particular to a technology for processing monitored earthquake precursor information, thereby predicting the epicenter, magnitude and time of an earthquake, and providing early warning before an earthquake occurs. Background technique: [0002] Earthquake is the most serious natural disaster for thousands of years, and human beings eagerly hope to be able to predict earthquakes. Although a very small number of earthquakes have been predicted and predicted, the vast majority of earthquakes still cannot be predicted or predicted, and earthquakes always happen unexpectedly. [0003] Until Qian Fuye, Zhao Yulin, Zhao Biru and others invented the HRT wave earthquake prediction and monitoring system (application number: 200820000524.0), also known as the PS100 geoelectric instrument, through the measurement of the ground resistivity and the ground electric fiel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/00
CPCG01V1/01
Inventor 曾雄飞曾燕曾江
Owner 曾雄飞
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