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| Titel |
Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution |
| VerfasserIn |
A. Gioia, V. Iacobellis, S. Manfreda, M. Fiorentino |
| 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 ; 16, no. 3 ; Nr. 16, no. 3 (2012-03-22), S.937-951 |
| Datensatznummer |
250013220
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| Publikation (Nr.) |
 copernicus.org/hess-16-937-2012.pdf |
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| Zusammenfassung |
| Understanding the spatial variability of key parameters of flood probability
distributions represents a strategy to provide insights on hydrologic
similarity and building probabilistic models able to reduce the uncertainty
in flood prediction in ungauged basins. In this work, we exploited the
theoretically derived distribution of floods model TCIF (Two Component Iacobellis
and Fiorentino model; Gioia et al., 2008), based on two different threshold
mechanisms associated to ordinary and extraordinary events. The model is
based on the hypotheses that ordinary floods are generally due to rainfall
events exceeding a constant infiltration rate in a small source area, while
the so-called outlier events responsible for the high skewness of flood
distributions are triggered when severe rainfalls exceed a storage
threshold over a large portion of the basin. Within this scheme, a
sensitivity analysis was performed with respect to climatic and
geomorphologic parameters in order to analyze the effects on the skewness
coefficient and provide insights in catchment classification and process
conceptualization. The analysis was conducted to investigate the influence on
flood distribution of physical factors such as rainfall intensity, basin
area, and particular focus on soil behavior. |
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