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| Titel |
Flood-initiating catchment conditions: a spatio-temporal analysis of large-scale soil moisture patterns in the Elbe River basin |
| VerfasserIn |
M. Nied, Y. Hundecha, B. 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 ; 17, no. 4 ; Nr. 17, no. 4 (2013-04-12), S.1401-1414 |
| Datensatznummer |
250018846
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| Publikation (Nr.) |
 copernicus.org/hess-17-1401-2013.pdf |
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| Zusammenfassung |
| Floods are the result of a complex interaction between meteorological event
characteristics and pre-event catchment conditions. While the large-scale
meteorological conditions have been classified and successfully linked to
floods, this is lacking for the large-scale pre-event catchment conditions.
Therefore, we propose classifying soil moisture as a key variable of
pre-event catchment conditions and investigating the link between soil
moisture patterns and flood occurrence in the Elbe River basin. Soil
moisture is simulated using a semi-distributed conceptual rainfall-runoff
model over the period 1951–2003. Principal component analysis (PCA) and
cluster analysis are applied successively to identify days of similar soil
moisture patterns. The results show that PCA considerably reduced the
dimensionality of the soil moisture data. The first principal component (PC)
explains 75.71% of the soil moisture variability and represents the
large-scale seasonal wetting and drying. The successive PCs express
spatially heterogeneous catchment processes. By clustering the leading PCs,
we identify large-scale soil moisture patterns which frequently occur before
the onset of floods. In winter, floods are initiated by overall high soil
moisture content, whereas in summer the flood-initiating soil moisture
patterns are diverse and less stable in time. |
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