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A nonlinear parametric model based on a power law relationship for predicting the coastal tsunami height
Marine Geophysical Research ( IF 1.4 ) Pub Date : 2019-06-10 , DOI: 10.1007/s11001-019-09388-4 Masashi Yoshikawa , Yasuhiko Igarashi , Shin Murata , Toshitaka Baba , Takane Hori , Masato Okada
Marine Geophysical Research ( IF 1.4 ) Pub Date : 2019-06-10 , DOI: 10.1007/s11001-019-09388-4 Masashi Yoshikawa , Yasuhiko Igarashi , Shin Murata , Toshitaka Baba , Takane Hori , Masato Okada
When a subduction-zone earthquake occurs, the tsunami height must be predicted to cope with the damage generated by the tsunami. Therefore, tsunami height prediction methods have been studied using simulation data acquired by large-scale calculations. In this research, we consider the existence of a nonlinear power law relationship between the water pressure gauge data observed by the Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) and the coastal tsunami height. Using this relationship, we propose a nonlinear parametric model and conduct a prediction experiment to compare the accuracy of the proposed method with those of previous methods and implement particular improvements to the extrapolation accuracy.
中文翻译:
基于幂律关系的非线性参数模型用于预测沿海海啸高度
当发生俯冲带地震时,必须预测海啸的高度可以应对海啸造成的破坏。因此,已经使用通过大规模计算获得的模拟数据研究了海啸高度预测方法。在这项研究中,我们考虑了通过密集海底地震和海啸网络系统(DONET)观测到的水压表数据与沿海海啸高度之间存在非线性幂律关系。利用这种关系,我们提出了一个非线性参数模型,并进行了预测实验,以比较所提出的方法与先前方法的准确性,并对外推的准确性进行特定的改进。
更新日期:2019-06-10
中文翻译:
基于幂律关系的非线性参数模型用于预测沿海海啸高度
当发生俯冲带地震时,必须预测海啸的高度可以应对海啸造成的破坏。因此,已经使用通过大规模计算获得的模拟数据研究了海啸高度预测方法。在这项研究中,我们考虑了通过密集海底地震和海啸网络系统(DONET)观测到的水压表数据与沿海海啸高度之间存在非线性幂律关系。利用这种关系,我们提出了一个非线性参数模型,并进行了预测实验,以比较所提出的方法与先前方法的准确性,并对外推的准确性进行特定的改进。