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Describing Reservoir Runoff by Markov Process

Author(s): Xiaohua Liu; Benzhong Xu

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Keywords: Reservoir; Markov chain; Conditional probability; Transferableprobability

Abstract: Taking one year as its period, the continuos runoff process can be discretization into processes in a series of months (or ten days), which called month time series. The runoff process will accord with Markov chain if a dependent relationship exists among adjacent month time series. When the conditional probability is got, transferable probability matrix of the adjacent time intervals could be calculated, and the corresponding conditional flow can be obtained.

DOI:

Year: 2001

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