Extension and application of feature prediction model for synthesis of hydrologic records

作者: Umed Singh Panu , TE Unny , None

DOI: 10.1029/WR016I001P00077

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摘要: The method described in this paper for the synthesis of streamflows differs from traditional approaches synthetic hydrology sense that it utilizes information contained or among groups data a streamflow record. existense such geophysical records, including hydrologic is well emphasized by Hurst (1951). Further, proposed method, based on concepts pattern recognition, neither basic structure nor any preconceived model imposed data; rather are allowed to speak themselves most ‘democratic’ way. preliminary details were provided an earlier Panu et al. (1978). intent describe procedure whereby possible specify explicitly multivariate probability distribution intrapattern and first-order Markovian dependence interpattern feature prediction (Panu al., 1978). various steps involved construction operation presented. application synthesizing monthly records three Canadian rivers exhibiting biannual cycles explained. Statistical hydrological tests show these realizations possess relevant properties comparable with corresponding historical This article should be read conjunction previous publication

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