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| Titel |
The role of climatic and terrain attributes in estimating baseflow recession in tropical catchments |
| VerfasserIn |
J. L. Peña-Arancibia, A. I. J. M. Dijk, M. Mulligan, L. A. Bruijnzeel |
| 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 ; 14, no. 11 ; Nr. 14, no. 11 (2010-11-04), S.2193-2205 |
| Datensatznummer |
250012477
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| Publikation (Nr.) |
 copernicus.org/hess-14-2193-2010.pdf |
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| Zusammenfassung |
| The understanding of low flows in rivers is paramount more than ever as
demand for water increases on a global scale. At the same time, limited
streamflow data to investigate this phenomenon, particularly in the tropics,
makes the provision of accurate estimations in ungauged areas an ongoing
research need. This paper analysed the potential of climatic and terrain
attributes of 167 tropical and sub-tropical unregulated catchments to
predict baseflow recession rates. Daily streamflow data (m3 s–1)
from the Global River Discharge Center (GRDC) and a linear reservoir model
were used to obtain baseflow recession coefficients (kbf) for these
catchments. Climatic attributes included annual and seasonal indicators of
rainfall and potential evapotranspiration. Terrain attributes included
indicators of catchment shape, morphology, land cover, soils and geology.
Stepwise regression was used to identify the best predictors for baseflow
recession coefficients. Mean annual rainfall (MAR) and aridity index (AI) were
found to explain 49% of the spatial variation of kbf. The rest of
climatic indices and the terrain indices average catchment slope (SLO) and tree
cover were also good predictors, but co-correlated with MAR. Catchment
elongation (CE), a measure of catchment shape, was also found to be
statistically significant, although weakly correlated. An analysis of
clusters of catchments of smaller size, showed that in these areas,
presumably with some similarity of soils and geology due to proximity,
residuals of the regression could be explained by SLO and CE. The approach used
provides a potential alternative for kbf parameterisation in ungauged
catchments. |
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