DOI: 10.1007/s11069-021-04716-7
论文题名: Investigating the application of artificial intelligence for earthquake prediction in Terengganu
作者: Marhain S. ; Ahmed A.N. ; Murti M.A. ; Kumar P. ; El-Shafie A.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 108, 期: 1 起始页码: 977
结束页码: 999
语种: 英语
中文关键词: 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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169210
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
Marhain S.,Ahmed A.N.,Murti M.A.,et al. Investigating the application of artificial intelligence for earthquake prediction in Terengganu[J]. Natural Hazards,2021-01-01,108(1)