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| Titel |
Reduction of uncertainty for estimating runoff with the NRCS CN model by the
adaptation to local climatic conditions |
| VerfasserIn |
Pablo Durán-Barroso, Javier González, Juan B. Valdés |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250135700
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| Publikation (Nr.) |
 EGU/EGU2016-16599.pdf |
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| Zusammenfassung |
| Rainfall-runoff quantification is one of the most important tasks in both engineering and
watershed management as it allows to identify, forecast and explain watershed response. For
that purpose, the Natural Resources Conservation Service Curve Number method (NRCS
CN) is the conceptual lumped model more recognized in the field of rainfall-runoff
estimation. Furthermore, there is still an ongoing discussion about the procedure to determine
the portion of rainfall retained in the watershed before runoff is generated, called as initial
abstractions. This concept is computed as a ratio (λ) of the soil potential maximum retention
S of the watershed. Initially, this ratio was assumed to be 0.2, but later it has been proposed to
be modified to 0.05. However, the actual procedures to convert NRCS CN model
parameters obtained under a different hypothesis about λ do not incorporate any
adaptation of climatic conditions of each watershed. By this reason, we propose a
new simple method for computing model parameters which is adapted to local
conditions taking into account regional patterns of climate conditions. After checking
the goodness of this procedure against the actual ones in 34 different watersheds
located in Ohio and Texas (United States), we concluded that this novel methodology
represents the most accurate and efficient alternative to refit the initial abstraction ratio. |
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