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| Titel |
Promising new baseflow separation and recession analysis methods applied to streamflow at Glendhu Catchment, New Zealand |
| VerfasserIn |
M. K. Stewart |
| 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 ; 19, no. 6 ; Nr. 19, no. 6 (2015-06-02), S.2587-2603 |
| Datensatznummer |
250120729
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| Publikation (Nr.) |
 copernicus.org/hess-19-2587-2015.pdf |
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| Zusammenfassung |
| Understanding and modelling the relationship between rainfall and runoff has
been a driving force in hydrology for many years. Baseflow separation and
recession analysis have been two of the main tools for understanding runoff
generation in catchments, but there are many different methods for each. The
new baseflow separation method presented here (the bump and rise method or
BRM) aims to accurately simulate the shape of tracer-determined baseflow or
pre-event water. Application of the method by calibrating its parameters,
using (a) tracer data or (b) an optimising method, is demonstrated for the
Glendhu Catchment, New Zealand. The calibrated BRM algorithm is then applied
to the Glendhu streamflow record. The new recession approach advances the
thesis that recession analysis of streamflow alone gives misleading
information on catchment storage reservoirs because streamflow is a varying
mixture of components of very different origins and characteristics (at the
simplest level, quickflow and baseflow as identified by the BRM method).
Recession analyses of quickflow, baseflow and streamflow show that the steep
power-law slopes often observed for streamflow at intermediate flows are
artefacts due to mixing and are not representative of catchment reservoirs.
Applying baseflow separation before recession analysis could therefore shed
new light on water storage reservoirs in catchments and possibly resolve
some current problems with recession analysis. Among other things it shows
that both quickflow and baseflow reservoirs in the studied catchment have
(non-linear) quadratic characteristics. |
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