Our Mission
GU INSTITUTE OF EARTHQUAKE PREDICTION（GUIEP) is a non-profit organization focusing on earthquake prediction.
We are committed to overcoming the global problem of earthquake prediction in order to protect the safety of life and property.
Earthquakes cause 35.8 billion USD in losses for the top 15 easy-shock countries per year.
Earthquakes are one of the most common natural disasters. Like the current plague covid-19，a destructive earthquake does not distinguish between national borders, cultures, race or gender and causes tremendous loss of life and property.
Earthquakes are one of the biggest natural catastrophes, which results in economic losses of 35.8 billion USD per year.
Since 1900, 2.3 million people have died in 2,233 earthquakes. One percent of those earthquakes account for 93% of the fatalities, thus key earthquake prediction is so important!
Earthquake prediction is one of the top ten scientific problems in the world.
For decades, a large number of scientists have devoted themselves to predicting earthquakes. However, after repeated failures, the sound of "earthquakes are unpredictable" spread widely in the seismology community.
Why is it so difficult to predict earthquakes?
arthquakes are one of the most common natural disasters. Like the current plague covid-19，a destructive earthquake does not distinguish between national borders, cultures, race or gender and causes tremendous loss of life and property.
How can we predict earthquakes?
Professor Jicheng Gu has attracted dozens of famous scientists to join Gu Institute of Earthquake Prediction. They are the most advanced scientists and engineers in the field of earthquakes and earthquake prediction in the world today.
Based on the PC-SPCC model first announced by Prof. Jicheng in 1979, we can:
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Explain the variety of imminent precursory phenomena observed in the world so far.
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Distinguish the real precursors from abnormal phenomena observed and avoid false information, and avoid mis-prediction.
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Guide us to find the right physical parameters as the index of precursors and avoid a lack of prediction or mis-prediction.
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Guide us to increase the efficiency and accuracy of recognition of imminent precursory phenomena. Decrease the lack of prediction.
