水文序列中的趋势和跳跃成分分析
首发时间:2010-03-22
摘要:水文序列在过去水文资料的研究和未来水文现象的预测分析中具有极其重要的作用。水文时间序列有趋势、跳跃、突变和周期以及随机成分线性叠加而成。本文重点介绍了水文序列中的趋势项和跳跃项的分析与检验。并且在最后给出了这两种分析的算法实例。
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The analysis of trend item and jumping item in hydrological series
Abstract:The hydrological series paly an important role in the study of past hydrological datas and the analysis of future hydrological phenomenon. Hydrological series are linear superposition of rend, jumping,mutation, period and stochastic componentes.It focuses on the analysis and test of trend item and jumping item in this paper. Moreover there are algorithm examples in the end.
Keywords: hydrological series trend item jumping item algorithm examples
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No.4095152052812692****
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