容纳不同异常持续时间的多参量综合预报模型
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摘要
现有的多数综合模型,大多忽略了各种异常在震前所显示不同的持续时间。本文针对各前兆在时间轴上的不均匀,由可容纳不同异常持续时间的动态系统模型,依据适合于不可逆过程的ARMA参量预测模型,以华北北部区域为例,探讨了进行未来强震危险性的预测的途径。最后,对影响预测精度的因素进行了分析和讨论。
For most existing synthetic models, the different lasting times of various precursors appeared before strong earthquakes have been not considered. In this paper, considering the temporal non-homogeneity of various precursors, a dynamic system model containing different anomaly lasting times has been established based on ARMA parameter prediction model, which is suitable to the nonreversible process; and taking North China area as an example, the authors explored the prediction way for future seismic hazard. Finally, the factors affecting the prediction precision have been analyzed and discussed.
引文
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