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Method for judging hydrologic time series non-stationarity

A hydrological time series, non-stationarity technology, applied in special data processing applications, instruments, electrical digital data processing, etc. Volatility, etc.

Active Publication Date: 2015-12-30
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0006] In view of the above problems, the purpose of the present invention is to provide a method for discriminating the non-stationarity of hydrological time series, so as to solve the problem that the prior art method of eliminating the influence of sequence period items cannot accurately describe and describe the period size and period in the actual hydrological time series Periodic terms with complex and variable volatility

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[0041] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with examples and accompanying drawings, and the contents mentioned in the implementation modes are not intended to limit the present invention.

[0042] refer to figure 1 As shown, the method for discriminating the non-stationarity of the hydrological time series of the present invention, the specific steps include:

[0043]1) Select a reasonable sequence fitting method, boundary point processing method and termination condition, and determine a specific ensemble empirical mode decomposition method.

[0044] 2) Apply the determined set empirical mode decomposition method to decompose the sequence x(t), and the result is recorded as:

[0045] x(t)=N(t)+P(t)+T(t)

[0046] Among them, N(t) represents the noise component contained in the sequence, P(t) represents the periodic component contained in the sequence, and T(t) represents th...

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Abstract

The invention discloses a method for judging hydrologic time series non-stationarity. The method comprises the following steps of determining a specific ensemble empirical mode decomposition method; resolving a sequence; using an energy spread function of white noise to recognize period components in the original sequence; removing the period components in the original sequence and taking the residue components as a new sequence; fitting by selecting an appropriate model equation; carrying out a unit root test on the new sequence by using the selected model equation; further analyzing the statistical property of the new sequence by using an autocorrelation coefficient graph and a partial correlation coefficient graph; comparing the consistency of autocorrelation (partial) coefficient results and a unit root test result; if the new sequence shows excellent consistency and the unit root test inspection characteristic statistic accepts original hypothesis, indicating that the sequence has non-stationarity; if the two results have inconformity, indicating that the sequence does not have the non-stationarity. The method disclosed by the invention overcomes the influence of a sequence periodic term on the unit root test result so as to obtain the accurate sequence non-stationarity inspection result.

Description

technical field [0001] The invention belongs to the technical field of hydrological sciences, and in particular refers to a method for judging the non-stationarity of hydrological time series. Background technique [0002] Revealing the changing characteristics and evolution rules of the natural water cycle process is an important basis for solving complex intersecting water problems, so it has always been a core research topic in the field of hydrology. In practice, it is a very difficult scientific problem to accurately understand the complex changing characteristics of the water cycle process. Especially in recent decades, due to the continuous impact of climate change and human activities, the natural water cycle process of many watersheds has been destroyed, the characteristics of the cycle and trend of the main water cycle elements have changed, the rainfall-runoff response relationship has changed significantly, flood disasters Extreme hydrological events, such as fr...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 桑燕芳刘昌明孙福宝
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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