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作 者:Joshua Pwavodi Abdullahi Umar Ibrahim Pwadubashiyi Coston Pwavodi Fadi Al-Turjman Ali Mohand-Said
机构地区:[1]Ecole et Observatoire des Sciences de La Terre,ITES UMR7063-CNRS/Universit’e de Strasbourg,5 rue Rene Descartes,67084,Strasbourg,France [2]Research Center for Science,Technology and Engineering(BILTEM),Near East University,99138,Nicosia,TRNC,Mersin 10,Turkey [3]Department of Biomedical Engineering,Near East University,Mersin 10,Nicosia,99010,Turkey [4]Department of Biomedical Engineering,Faculty of Engineering,Cyprus International University,Haspolat,North Cyprus via Mersin 10,Nicosia,99258,Turkey [5]Artificial Intelligence Engineering Department,AI and Robotics Institute,Near East University,Mersin,99138,Turkey [6]Research Center for AI and IoT,Faculty of Engineering,University of Kyrenia,Mersin 99138,Turkey
出 处:《Artificial Intelligence in Geosciences》2024年第1期154-172,共19页地学人工智能(英文)
摘 要:Earthquakes are classified as one of the most devastating natural disasters that can have catastrophic effects on the environment,lives,and properties.There has been an increasing interest in the prediction of earthquakes and in gaining a comprehensive understanding of the mechanisms that underlie their generation,yet earthquakes are the least predictable natural disaster.Satellite data,global positioning system,interferometry synthetic aperture radar(InSAR),and seismometers such as microelectromechanical system,seismometers,ocean bottom seismometers,and distributed acoustic sensing systems have all been used to predict earthquakes with a high degree of success.Despite advances in seismic wave recording,storage,and analysis,earthquake time,location,and magnitude prediction remain difficult.On the other hand,new developments in artificial intelligence(AI)and the Internet of Things(IoT)have shown promising potential to deliver more insights and predictions.Thus,this article reviewed the use of AI-driven Models and IoT-based technologies for the prediction of earthquakes,the limitations of current approaches,and open research issues.The review discusses earthquake prediction setbacks due to insufficient data,inconsistencies,diversity of earthquake precursor signals,and the earth’s geophysical composition.Finally,this study examines potential approaches or solutions that scientists can employ to address the challenges they face in earthquake prediction.The analysis is based on the successful application of AI and IoT in other fields.
关 键 词:EARTHQUAKES SEISMICITY Artificial intelligence Internet of things PREDICTION
分 类 号:P31[天文地球—固体地球物理学]
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