Predictable time scale of the evolution of chaotic rock mass dynamic systems is one of the most important parameters in nonlinear forecasting theory.
岩体混沌动力系统演化过程的可预测尺度是非线性预测理论研究的重要内容。
Based on the requirement for establishing coordinated atomic time scale at Shangha1 Observatory, the application of ARIMA model to the forecasting of atomic time was discussed.
根据上海天文台协调原子时尺度建立的要求，探讨了ARIMA模型在原子时预报中的应用。
The results indicate that flood disaster systems have fractal characteristics, average time-scale of forecasting inundated area of cropland is 8~9 year.
分析结果表明，洪涝灾害系统的变化具有分形特征，农田成灾面积时间序列的平均可预测时间尺度为8～9年；
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