globalchange  > 气候变化与战略
DOI: 10.1007/s11069-021-04755-0
论文题名:
Determination of near-fault impulsive signals with multivariate naïve Bayes method
作者: Ertuncay D.; Costa G.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 108, 期:2
起始页码: 1763
结束页码: 1780
语种: 英语
中文关键词: Impulsive signal ; Near-fault ground motion ; Probability of pulse occurrence ; Velocity pulse
英文摘要: Near-fault ground motions may contain impulse behavior on velocity records. To calculate the probability of occurrence of the impulsive signals, a large dataset is collected from various national data providers and strong motion databases. The dataset has a large number of parameters which carry information on the earthquake physics, ruptured faults, ground motion parameters, distance between the station and several parts of the ruptured fault. Relation between the parameters and impulsive signals is calculated. It is found that fault type, moment magnitude, distance and azimuth between a site of interest and the surface projection of the ruptured fault are correlated with the impulsiveness of the signals. Separate models are created for strike-slip faults and non-strike-slip faults by using multivariate naïve Bayes classifier method. Naïve Bayes classifier allows us to have the probability of observing impulsive signals. The models have comparable accuracy rates, and they are more consistent on different fault types with respect to previous studies. © 2021, The Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169011
Appears in Collections:气候变化与战略

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作者单位: Department of Mathematics and Geosciences, University of Trieste, via E.Weiss 4, Trieste, 34128, Italy

Recommended Citation:
Ertuncay D.,Costa G.. Determination of near-fault impulsive signals with multivariate naïve Bayes method[J]. Natural Hazards,2021-01-01,108(2)
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