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| Titel |
Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA |
| VerfasserIn |
K. Sawicz, T. Wagener, M. Sivapalan  , P. A. Troch, G. Carrillo |
| 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 (2011-09-15), S.2895-2911 |
| Datensatznummer |
250012961
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| Publikation (Nr.) |
 copernicus.org/hess-15-2895-2011.pdf |
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| Zusammenfassung |
| Hydrologic similarity between catchments, derived from
similarity in how catchments respond to precipitation input, is the basis
for catchment classification, for transferability of information, for
generalization of our hydrologic understanding and also for understanding
the potential impacts of environmental change. An important question in this
context is, how far can widely available hydrologic information
(precipitation-temperature-streamflow data and generally available physical
descriptors) be used to create a first order grouping of hydrologically
similar catchments? We utilize a heterogeneous dataset of 280 catchments
located in the Eastern US to understand hydrologic similarity in a
6-dimensional signature space across a region with strong environmental
gradients. Signatures are defined as hydrologic response characteristics
that provide insight into the hydrologic function of catchments. A Bayesian
clustering scheme is used to separate the catchments into 9 homogeneous
classes, which enable us to interpret hydrologic similarity with respect to
similarity in climatic and landscape attributes across this region. We
finally derive several hypotheses regarding controls on individual
signatures from the analysis performed here. |
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