Application of moving approximate entropy to mutation analysis of runoff time series
Application of moving approximate entropy to mutation analysis of runoff time series
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发表时间：
2014
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通讯作者：
Sun Dongyon
中科院分区：
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作者：
Sun Dongyon
在气候变化和人类活动的双重影响下，水文序列发生了变化，本文利用渭河林家村站1960 ~ 2000年共计41 a的日径流序列，采用近似熵法和滑动法相结合的方法，分析了径流时间序列的变化，结果表明，在不同滑动窗和不同步长的情况下，在动力结构上，该序列有四个明显的特征，1972年，1982年，和1994.这种移动近似熵方法具有分辨率高、抗干扰能力强的特点，与传统的突变分析方法进行了比较，揭示了非线性时间序列分析中的干扰特征，为变参数条件下高度复杂序列的突变分析提供了一种有效的诊断方法和新思路环境
Under the double impacts of climate changes and human activities,variation in hydrological sequence occurred.This paper analyzes variation in runoff time series with a combining approach of approximate entropy method and sliding method,using the daily runoff series of totally 41 years from 1960 to 2000 at the Linjiacun station of Wei River.The analysis results show that in the cases of different sliding windows and different steps,in dynamical structure this series has four obvious characteristics and abrupt changes occurred in the years 1972,1982,and 1994.This moving approximate entropy approach has high resolution strong anti-interference characteristics in analysis of nonlinear time series in comparison with the traditional mutation analysis method.It can give an effective diagnosis and a new idea for mutation analysis of highly complex series under changable environment.