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| Titel |
Catchment classification by runoff behaviour with self-organizing maps (SOM) |
| VerfasserIn |
R. Ley, M. C. Casper, H. Hellebrand, R. Merz |
| 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 ; 15, no. 9 ; Nr. 15, no. 9 (2011-09-16), S.2947-2962 |
| Datensatznummer |
250012964
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| Publikation (Nr.) |
 copernicus.org/hess-15-2947-2011.pdf |
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| Zusammenfassung |
Catchments show a wide range of response behaviour, even if they are
adjacent. For many purposes it is necessary to characterise and classify
them, e.g. for regionalisation, prediction in ungauged catchments, model
parameterisation.
In this study, we investigate hydrological similarity of catchments with
respect to their response behaviour. We analyse more than 8200 event runoff
coefficients (ERCs) and flow duration curves of 53 gauged catchments in
Rhineland-Palatinate, Germany, for the period from 1993 to 2008, covering a
huge variability of weather and runoff conditions. The spatio-temporal
variability of event-runoff coefficients and flow duration curves are
assumed to represent how different catchments "transform" rainfall into
runoff. From the runoff coefficients and flow duration curves we derive 12
signature indices describing various aspects of catchment response behaviour
to characterise each catchment.
Hydrological similarity of catchments is defined by high similarities of
their indices. We identify, analyse and describe hydrologically similar
catchments by cluster analysis using Self-Organizing Maps (SOM). As a result
of the cluster analysis we get five clusters of similarly behaving
catchments where each cluster represents one differentiated class of
catchments.
As catchment response behaviour is supposed to be dependent on its
physiographic and climatic characteristics, we compare groups of catchments
clustered by response behaviour with clusters of catchments based on
catchment properties. Results show an overlap of 67% between these two
pools of clustered catchments which can be improved using the topologic
correctness of SOMs. |
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