Performance of NGA Models in Predicting Ground Motion Parameters of The Strong Earthquake

L. Z. Mase
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引用次数: 9

Abstract

Next Generation Attenuation (NGA) West 1 and 2 models are employed to predict the ground motion parameters of strong earthquake during the 6.9 Mw Kobe Earthquake in 1995. This study is initiated by collecting the data of ground motion parameters of the earthquake. Furthermore, the ground motion prediction is performed by using the NGA models. There are three ground motion parameters observed, i.e. peak ground acceleration (PGA), spectral acceleration (SA) at 0.2 second and SA at 1 second. The performances of the models are evaluated by using the Residual Values and Root Mean Square (RMS) Error. The results show that the NGA models could predict the ground motion parameters quite appropriately. It can be seen from the correlation values of the observed and the predicted values, which is relatively consistent each other, especially for peak ground acceleration. In general, this study could recommend the procedure in selecting the attenuation model for strong earthquakes. The study framework could be implemented to predict the ground motion in other regions. 
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NGA模型在强震地震动参数预测中的性能
采用新生代衰减(NGA) West 1和West 2模型对1995年6.9 Mw神户地震强震的地震动参数进行了预测。这项研究是通过收集地震的地面运动参数数据而开始的。此外,利用NGA模型进行了地震动预测。观测到三个地面运动参数,即0.2秒时的峰值地面加速度(PGA)、谱加速度(SA)和1秒时的SA。利用残差和均方根误差对模型的性能进行了评价。结果表明,NGA模型能较好地预测地震动参数。从观测值与预测值的相关值可以看出,两者的相关值相对一致,尤其是对峰值地加速度的相关值。总的来说,本研究可为强震衰减模型的选择提供参考。该研究框架可应用于其他地区的地面运动预测。
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20
审稿时长
15 weeks
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