A method for forecasting runoff under the influence of upstream reservoir groups using forecast errors
A runoff and error technology, applied in the field of hydrological forecasting, to achieve the effects of easy acquisition, improved runoff forecast accuracy, and high precision
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Embodiment 1
[0041] Such as figure 1 As shown, this embodiment provides a method for forecasting runoff under the influence of upstream reservoir groups by using forecast errors, and the method includes the following steps,
[0042] S1. Collect data;
[0043] S2. Based on the collected data, use the known hydrological model and KNN model to establish a forecasting model for the impact of regulation and storage;
[0044] S3. Combine the collected data to drive the hydrological model to predict the future runoff;
[0045] S4. Obtain the forecast error of the previous period;
[0046] S5. According to the forecast error in the previous period, combined with the estimation model of the influence quantity of regulation and storage, obtain the estimated value of the influence quantity of regulation and storage in the future;
[0047] S6. The future runoff is superimposed on the estimated value of the impact of future regulation and storage to obtain the forecasted value of runoff in the futur...
Embodiment 2
[0080] In this embodiment, the Danjiangkou Reservoir is selected as the research object, and the period for testing the forecast effect is from July 1, 2016 to July 31, 2016. The purpose of the forecast is to obtain the daily-scale runoff with a forecast period of 1 day; implementation process of the method.
[0081] 1. Collect information; the information to be collected is shown in the following table (due to too much information, only part of the information is displayed):
[0082]
[0083] 2. Establish a forecasting model for the impact of regulation and storage;
[0084] Since the selected forecasting effect test time is from July 1, 2016 to July 31, 2016, the precipitation data from January 1, 2009 to June 30, 2016 are selected to drive the hydrological model to obtain historical forecast information, combined with The runoff data from January 1, 2009 to June 30, 2016 were used to jointly establish the estimation model of the impact of regulation and storage. The spe...
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