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| Titel |
Inferring the flood frequency distribution for an ungauged basin using a spatially distributed rainfall-runoff model |
| VerfasserIn |
G. Moretti, A. Montanari |
| 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 ; 12, no. 4 ; Nr. 12, no. 4 (2008-08-26), S.1141-1152 |
| Datensatznummer |
250010765
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| Publikation (Nr.) |
 copernicus.org/hess-12-1141-2008.pdf |
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| Zusammenfassung |
| The estimation of the peak river flow for ungauged river sections is a
topical issue in applied hydrology. Spatially distributed rainfall-runoff
models can be a useful tool to this end, since they are potentially able to
simulate the river flow at any location of the watershed drainage network.
However, it is not fully clear to what extent these models can provide
reliable simulations over a wide range of spatial scales. This issue is
investigated here by applying a spatially distributed, continuous simulation
rainfall-runoff model to infer the flood frequency distribution of the
Riarbero River. This is an ungauged mountain creek located in northern Italy,
whose drainage area is 17 km2. The hydrological model is first calibrated
by using a 1-year record of hourly meteorological data and river flows
observed at the outlet of the 1294 km2 wide Secchia River basin, of which
the Riarbero is a tributary. The model is then validated by performing a
100-year long simulation of synthetic river flow data, which allowed us to
compare the simulated and observed flood frequency distributions at the
Secchia River outlet and the internal cross river section of Cavola Bridge,
where the basin area is 337 km2. Finally, another simulation of hourly
river flows was performed by referring to the outlet of the Riarbero River,
therefore allowing us to estimate the related flood frequency distribution.
The results were validated by using estimates of peak river flow obtained by
applying hydrological similarity principles and a regional method. The
results show that the flood flow estimated through the application of the
distributed model is consistent with the estimate provided by the regional
procedure as well as the behaviors of the river banks. Conversely, the method
based on hydrological similarity delivers an estimate that seems to be not as
reliable. The analysis highlights interesting perspectives for the
application of spatially distributed models to ungauged catchments. |
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