Flow similarity analysis method and device

Abstract

The invention relates to a flow similarity analysis method and device and provides a method for better analyzing hydrological process similarity. The method comprises steps as follows: the reversing times of a first flow hydrograph are determined; fractal dimensions of the first flow hydrograph are calculated; the similarity distance between the first flow hydrograph and a second flow hydrograph is determined according to the reversing times and the fractal dimensions, wherein the similarity distance is used for indicating similarity between the first flow hydrograph and the second flow hydrograph.

Description

technical field [0001] The invention relates to the field of hydrological analysis, in particular to a flow similarity analysis method and device. Background technique [0002] In hydrological forecasting and ecological scheduling, the similarity of hydrological processes is often studied, and improving the accuracy of flow similarity judgment is of great significance for strengthening flood control safety and developing ecological water conservancy. [0003] The flow process is a time series process. At present, the research methods on the measurement of time series similarity mainly include: Euclidean distance, Minkowski distance, envelope distance and DTW (Dynamic Time Warping Distance, dynamic time warping distance). These methods mostly focus on studying the distance between two time series, and need to process the difference between the two time series variables before accumulating. However, there may be small local deviations in this accumulation method, which may ac...

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Problems solved by technology

However, there may be small local deviations in this accumulation method, which may accumulate into a large error in the entire sequence, and in the case of a long time series, the identification of only individual large deviations between the sequences is low

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