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| Titel |
General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling |
| VerfasserIn |
S. Gabellani, F. Silvestro, R. Rudari, G. Boni |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 6 ; Nr. 8, no. 6 (2008-12-04), S.1317-1327 |
| Datensatznummer |
250005903
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| Publikation (Nr.) |
 copernicus.org/nhess-8-1317-2008.pdf |
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| Zusammenfassung |
| Flood forecasting undergoes a constant evolution, becoming more and
more demanding about the models used for hydrologic simulations.
The advantages of developing distributed or semi-distributed
models have currently been made clear. Now the importance of
using continuous distributed modeling emerges. A proper
schematization of the infiltration process is vital to these
types of models. Many popular infiltration schemes, reliable and
easy to implement, are too simplistic for the development of
continuous hydrologic models. On the other hand, the
unavailability of detailed and descriptive information on soil properties often limits the implementation of complete
infiltration schemes. In this work, a combination between the Soil
Conservation Service Curve Number method (SCS-CN) and a method derived from
Horton equation is proposed in order to overcome the inherent
limits of the two schemes. The SCS-CN method is easily applicable
on large areas, but has structural limitations. The Horton-like
methods present parameters that, though measurable to a point, are
difficult to achieve a reliable estimate at catchment scale. The objective
of this work is to overcome these limits by proposing a calibration
procedure which maintains the large applicability of the SCS-CN method as well as the continuous
description of the infiltration process given by the
Horton's equation suitably modified. The estimation of the parameters
of the modified Horton method is carried out using a formal
analogy with the SCS-CN method under specific conditions.
Some applications, at catchment scale within a distributed model,
are presented. |
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