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| Titel |
Exploring the physical controls of regional patterns of flow duration curves – Part 3: A catchment classification system based on regime curve indicators |
| VerfasserIn |
E. Coopersmith, M. A. Yaeger, S. Ye, L. Cheng, M. Sivapalan  |
| 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. 11 ; Nr. 16, no. 11 (2012-11-26), S.4467-4482 |
| Datensatznummer |
250013587
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| Publikation (Nr.) |
 copernicus.org/hess-16-4467-2012.pdf |
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| Zusammenfassung |
| Predictions of hydrological responses in ungauged catchments can
benefit from a classification scheme that can organize and pool together
catchments that exhibit a level of hydrologic similarity, especially
similarity in some key variable or signature of interest. Since catchments
are complex systems with a level of self-organization arising from
co-evolution of climate and landscape properties, including vegetation, there
is much to be gained from developing a classification system based on a
comparative study of a population of catchments across climatic and landscape
gradients. The focus of this paper is on climate seasonality and seasonal
runoff regime, as characterized by the ensemble mean of within-year variation
of climate and runoff. The work on regime behavior is part of an overall
study of the physical controls on regional patterns of flow duration curves
(FDCs), motivated by the fact that regime behavior leaves a major imprint
upon the shape of FDCs, especially the slope of the FDCs. As an exercise in
comparative hydrology, the paper seeks to assess the regime behavior of 428
catchments from the MOPEX database simultaneously, classifying and
regionalizing them into homogeneous or hydrologically similar groups. A
decision tree is developed on the basis of a metric chosen to characterize
similarity of regime behavior, using a variant of the Iterative Dichotomiser
3 (ID3) algorithm to form a classification tree and associated catchment
classes. In this way, several classes of catchments are distinguished, in
which the connection between the five catchments' regime behavior and climate
and catchment properties becomes clearer. Only four similarity indices are
entered into the algorithm, all of which are obtained from smoothed daily
regime curves of climatic variables and runoff. Results demonstrate that
climate seasonality plays the most significant role in the classification of
US catchments, with rainfall timing and climatic aridity index playing
somewhat secondary roles in the organization of the catchments. In spite of
the tremendous heterogeneity of climate, topography, and runoff behavior
across the continental United States, 331 of the 428 catchments studied are
seen to fall into only six dominant classes. |
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