气候变化领域集成服务门户(CCPortal): Investigating the application of artificial intelligence for earthquake prediction in Terengganu

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DOI	10.1007/s11069-021-04716-7
	Investigating the application of artificial intelligence for earthquake prediction in Terengganu
	Marhain S.; Ahmed A.N.; Murti M.A.; Kumar P.; El-Shafie A.
发表日期	2021
ISSN	0921030X
起始页码	977
结束页码	999
卷号	108 期号:1
英文摘要	Earthquake is one of the devastating and frightening natural disasters that caused big casualties in a small duration. Earthquake caused lots of damage in just a few minutes and the casualties of the earthquake increase as the population increase which also contribute to higher amount of property and buildings. Therefore, by developing model capable of detecting the recurrence behaviour of earthquake helps in predicting earthquake as well as minimizing the casualties caused by the earthquake. In this report, a few of artificial intelligence algorithms such as support vector machine, boosted decision tree regression, random forest and multivariate adaptive regression spline will be used in the development of best model algorithm in earthquake prediction. Meteorological data are collected from several stations in Terengganu and processed for normalization and the data will be analysed using algorithms and its performance will be evaluated. Terengganu is situated on the east coast of Peninsular Malaysia and is bordered on the north-west and south-west by Kelantan and Pahang. Terengganu's east side is bordered by the South China Sea. Terengganu is located within the vicinity of the South China Sea, which is possible to be affected by the Marina Trench Earthquake. The subduction zone of Manila Trench is capable of producing a high magnitude of earthquake activity that can create a deadliest tsunami disaster. Therefore, Terengganu is studied for the investigation of artificial intelligence in earthquake prediction. The model algorithms are then analysed to measure its sensitivity and accuracy in prediction and consistency of the result. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Artificial intelligence Boosted decision tree regression Earthquake prediction Machine learning algorithm Multivariate adaptive regression spline Pearson correlation coefficient Random forest Support vector machine Uncertainty analysis
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206411
作者单位	Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Selangor, 43000, Malaysia; Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Selangor, 43000, Malaysia; Telkom University, Bandung, Indonesia; Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia; National Water and Energy Center, United Arab Emirates University, Al Ain, United Arab Emirates
推荐引用方式 GB/T 7714	Marhain S.,Ahmed A.N.,Murti M.A.,et al. Investigating the application of artificial intelligence for earthquake prediction in Terengganu[J],2021,108(1).
APA	Marhain S.,Ahmed A.N.,Murti M.A.,Kumar P.,&El-Shafie A..(2021).Investigating the application of artificial intelligence for earthquake prediction in Terengganu.Natural Hazards,108(1).
MLA	Marhain S.,et al."Investigating the application of artificial intelligence for earthquake prediction in Terengganu".Natural Hazards 108.1(2021).