A method for estimating runoff in areas without data based on ensemble Kalman filter
A Kalman filter and runoff technology, applied in instrumentation, calculation, electrical and digital data processing, etc., can solve problems such as difficulty in finding watersheds, complex classification, and inability to judge, to simplify the filter assimilation process, improve the assimilation accuracy, and avoid The effect of tedious calculations
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[0054] The method for deriving runoff in areas without data based on ensemble Kalman filtering described in this embodiment, the method includes:
[0055] S1, calculate the optimal parameter value for the whole watershed
[0056] There is at least one sub-basin without hydrological data and one sub-basin with hydrological data in the whole watershed, and the upstream and downstream watersheds of the sub-basin without hydrological data are both sub-basins in the whole watershed;
[0057] Perform parameter optimization on the entire watershed to obtain the optimal value of the parameter, and select the optimal value of any two parameters for data assimilation processing; the two parameters are parameter β and parameter γ respectively;
[0058] S2, calculate the estimated flow rate and its distribution law at the outlet of the sub-basin A, the distribution law includes the mean value and variance of the estimated flow rate
[0059] Set the sub-basin without hydrological data as ...
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