Water Resources and Power

Complicated hydrological time series may be decomposed into a few partial processes of different scales by wavelet transition, and it can be reconstructed from these partial process by the inverse wavelet transform. First, we may analysis and distinguish the determinate components and stochastic components of the differently scaled partial processes derived from hydrologic time series by A Trous algorithm. Second, a appropriate model has been constructed for every partial process. Lastly,a combined model has been acquired from annual runoff through A Trous reconstructive algorithm. A stochastic modelling case study of a annual runoff series from Ping Shan Station of Jing Shajiang River in China is given.