A univariate model for long-term streamflow forecasting |
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| Authors: | P. F. Krstanovic V. P. Singh |
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| Affiliation: | (1) H. T. Harvey and Associates, 906 Elizabeth Street, P. O. Box 1180, 95002 Alviso, CA, USA;(2) Dept. of Civil Engineering, Louisiana State University, 70803-6405 Baton Rouge, LA, USA |
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| Abstract: | This paper, the first in a series of two, employs the principle of maximum entropy (POME) via maximum entropy spectral analysis (MESA) to develop a univariate model for long-term streamflow forecasting. Three cases of streamflow forecasting are investigated: forward forecasting, backward forecasting (or reconstruction) and intermittent forecasting (or filling in missing records). Application of the model is discussed in the second paper. |
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| Keywords: | Entropy spectral analysis streamflow forecasting univariate model |
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