Earthquake Prediction Software on Global Scale  

作　　者：Haruhiro Shiraishi Haruhiro Shiraishi(Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan)

机构地区：[1]Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan

出　　处：《Journal of Geoscience and Environment Protection》2022年第3期34-45,共12页地球科学和环境保护期刊（英文）

摘　　要：Researchers developed an earthquake prediction software and evaluated its performance. This earthquake prediction software is suitable for short-term earthquake prediction. This approach relies on the deep involvement of water vapors that occur just before an earthquake caused by a decrease in pressure and an increase in temperature, leading to a 70.5% prediction accuracy within a month in Japan. In addition, we have tried to develop a new practical method to warn earthquakes for not only Japan but also global scale. In other words, this paper is dedicated to improving the short-term earthquake prediction software from Japan to global scale. In global scale, the prediction rate improved to 80.8%.Researchers developed an earthquake prediction software and evaluated its performance. This earthquake prediction software is suitable for short-term earthquake prediction. This approach relies on the deep involvement of water vapors that occur just before an earthquake caused by a decrease in pressure and an increase in temperature, leading to a 70.5% prediction accuracy within a month in Japan. In addition, we have tried to develop a new practical method to warn earthquakes for not only Japan but also global scale. In other words, this paper is dedicated to improving the short-term earthquake prediction software from Japan to global scale. In global scale, the prediction rate improved to 80.8%.

关 键 词：DISSOCIATION EARTHQUAKE Global Scale Machine Learning 

分 类 号：P31[天文地球—固体地球物理学]