Hydrological data anomaly detection method based on spatio-temporal information
A technology for data anomalies and detection methods, applied in digital data information retrieval, electronic digital data processing, special data processing applications, etc., can solve the problems of seasonality, randomness, and insufficient temporal and spatial correlation of hydrological data tables
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[0045] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.
[0046] The invention provides a hydrological data anomaly detection method based on spatio-temporal information, comprising the following steps:
[0047] S1: Classify the stations associated with the station to be detected. Specifically, the following steps A1 to A3 are included:
[0048] A1: Obtain the rainfall time series R of the site to be detected 0 And the rainfall time series R of any other station in the watershed i , and have R i =1 ,t 1 ),(r 2 ,t 2 ),…(r...
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