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Earthquake Prediction Software on Global Scale

Earthquake Prediction Software on Global Scale
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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%.
作者 Haruhiro Shiraishi Haruhiro Shiraishi(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)
关键词 DISSOCIATION EARTHQUAKE Global Scale Machine Learning Dissociation Earthquake Global Scale Machine Learning
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