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| Titel |
The influence of methodological procedures on hydrological classification performance |
| VerfasserIn |
F. J. Peñas, J. Barquín, T. H. Snelder, D. J. Booker, C. Alvarez |
| 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 ; 18, no. 9 ; Nr. 18, no. 9 (2014-09-05), S.3393-3409 |
| Datensatznummer |
250120457
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| Publikation (Nr.) |
 copernicus.org/hess-18-3393-2014.pdf |
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| Zusammenfassung |
| Hydrological classification has emerged as a suitable procedure to
disentangle the inherent hydrological complexity of river networks. This
practice has contributed to determining key biophysical relations in fluvial
ecosystems and the effects of flow modification. Thus, a plethora of
classification approaches, which agreed in general concepts and methods but
differed largely in specific procedures, have emerged in the last decades.
However, few studies have compared the implication of applying contrasting
approaches and specifications over the same hydrological data. In this work,
using cluster analysis and modelling approaches, we classify the entire
river network covering the northern third of the Iberian Peninsula.
Specifically, we developed classifications of increasing level of detail,
ranging from 2 to 20 class levels, either based on raw and normalized daily
flow series and using two contrasting approaches to determine class
membership: classify-then-predict (ClasF) and predict-then-classify (PredF).
Classifications were compared in terms of their statistical strength, the
hydrological interpretation, the ability to reduce the bias associated with
underrepresented parts of the hydrological space and their spatial
correspondnece. The results highlighted that both the data processing and
the classification strategy largely influenced the classification outcomes
and properties, although differences among procedures were not always
statistically significant. The normalization of flow data removed the
influence of flow magnitude and generated more complex classifications in
which a wider range of hydrologic characteristics were considered. The
application of the PredF strategy produced, in most of the cases,
classifications with higher discrimination ability and presented greater
ability to deal with the presence of distinctive gauges in the data set than
using the ClasF strategy. |
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