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| Titel |
Streamflow disaggregation: a nonlinear deterministic approach |
| VerfasserIn |
B. Sivakumar, W. W. Wallender, C. E. Puente, M. N. Islam |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 11, no. 3 ; Nr. 11, no. 3 (2004-09-08), S.383-392 |
| Datensatznummer |
250009243
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| Publikation (Nr.) |
 copernicus.org/npg-11-383-2004.pdf |
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| Zusammenfassung |
| This study introduces a nonlinear deterministic approach for streamflow
disaggregation. According to this approach, the streamflow transformation
process from one scale to another is treated as a nonlinear deterministic
process, rather than a stochastic process as generally assumed. The approach
follows two important steps: (1) reconstruction of the scalar (streamflow)
series in a multi-dimensional phase-space for representing the
transformation dynamics; and (2) use of a local approximation (nearest
neighbor) method for disaggregation. The approach is employed for streamflow
disaggregation in the Mississippi River basin, USA. Data of successively
doubled resolutions between daily and 16 days (i.e. daily, 2-day, 4-day,
8-day, and 16-day) are studied, and disaggregations are attempted only
between successive resolutions (i.e. 2-day to daily, 4-day to 2-day, 8-day
to 4-day, and 16-day to 8-day). Comparisons between the disaggregated values
and the actual values reveal excellent agreements for all the cases studied,
indicating the suitability of the approach for streamflow disaggregation. A
further insight into the results reveals that the best results are, in
general, achieved for low embedding dimensions (2 or 3) and small number of
neighbors (less than 50), suggesting possible presence of nonlinear
determinism in the underlying transformation process. A decrease in accuracy
with increasing disaggregation scale is also observed, a possible
implication of the existence of a scaling regime in streamflow. |
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