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| Titel |
Towards improving river discharge estimation in ungauged basins: calibration of rainfall-runoff models based on satellite observations of river flow width at basin outlet |
| VerfasserIn |
W. C. Sun, H. Ishidaira, S. Bastola |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 10 ; Nr. 14, no. 10 (2010-10-22), S.2011-2022 |
| Datensatznummer |
250012451
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| Publikation (Nr.) |
 copernicus.org/hess-14-2011-2010.pdf |
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| Zusammenfassung |
| Rainfall-runoff models are common tools for river discharge
estimation in the field of hydrology. In ungauged basins, the
dependence on observed river discharge data for calibration
restricts applications of rainfall-runoff models. The strong
correlation between quantities of river cross-sectional water
surface width obtained from remote sensing and corresponding in situ
gauged river discharge has been verified by many researchers. In
this study, a calibration scheme of rainfall-runoff models based on
satellite observations of river width at basin outlet is
illustrated. One distinct advantage is that this calibration is
independent of river discharge information. The at-a-station
hydraulic geometry is implemented to facilitate shifting the
calibration objective from river discharge to river width. The
generalized likelihood uncertainty estimation (GLUE) is applied to
model calibration and uncertainty analysis. The calibration scheme
is demonstrated through a case study for simulating river discharge
at Pakse in the Mekong Basin. The effectiveness of the calibration
scheme and uncertainties associated with utilization of river width
observations from space are examined from model input-state-output
behaviour, capability of reproducing river discharge and posterior
parameter distribution. The results indicate that the satellite
observation of the river width is a competent surrogate of observed
discharge for the calibration of rainfall-runoff model at Pakse and
the proposed method has the potential for improving reliability of
river discharge estimation in basins without any discharge gauging. |
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