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Titel |
Extreme flood response to short-duration convective rainfall in South-West Germany |
VerfasserIn |
V. Ruiz-Villanueva, M. Borga, D. Zoccatelli, L. Marchi, E. Gaume, U. Ehret |
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. 5 ; Nr. 16, no. 5 (2012-05-31), S.1543-1559 |
Datensatznummer |
250013305
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Publikation (Nr.) |
copernicus.org/hess-16-1543-2012.pdf |
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Zusammenfassung |
The 2 June 2008 flood-producing storm on the Starzel river basin in
South-West Germany is examined as a prototype for organized convective
systems that dominate the upper tail of the precipitation frequency
distribution and are likely responsible for the flash flood peaks in Central
Europe. The availability of high-resolution rainfall estimates from radar
observations and a rain gauge network, together with indirect peak discharge
estimates from a detailed post-event survey, provided the opportunity to
study in detail the hydrometeorological and hydrological mechanisms
associated with this extreme storm and the ensuing flood. Radar-derived
rainfall, streamgauge data and indirect estimates of peak discharges are
used along with a distributed hydrologic model to reconstruct hydrographs at
multiple locations. Observations and model results are combined to examine
two main questions, (i) assessment of the distribution of the runoff ratio
for the 2008 flash flood and how it compares with other less severe floods;
and (ii) analysis of how the spatial and temporal distribution of the extreme
rainfall, and more specifically storm motion, controls the flood response.
It is shown that small runoff ratios (less than 20%) characterized the
runoff response and that these values are in the range of other, less
extreme, flood events. The influence of storm structure, evolution and
motion on the modeled flood hydrograph is examined by using the "spatial moments of catchment rainfall". It is
shown that downbasin storm motion (in the range of 0.7–0.9 m s−1) had a
noticeable impact on flood response by increasing the modeled flood peak by
13%. |
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