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Titel |
Improving catchment discharge predictions by inferring flow route contributions from a nested-scale monitoring and model setup |
VerfasserIn |
Y. Velde, J. C. Rozemeijer, G. H. Rooij, F. C. Geer, P. J. J. F. Torfs, P. G. B. Louw |
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. 3 ; Nr. 15, no. 3 (2011-03-15), S.913-930 |
Datensatznummer |
250012689
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Publikation (Nr.) |
copernicus.org/hess-15-913-2011.pdf |
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Zusammenfassung |
Identifying effective measures to reduce nutrient loads of headwaters in
lowland catchments requires a thorough understanding of flow routes of water
and nutrients. In this paper we assess the value of nested-scale discharge
and groundwater level measurements for the estimation of flow route volumes
and for predictions of catchment discharge. In order to relate field-site
measurements to the catchment-scale an upscaling approach is introduced that
assumes that scale differences in flow route fluxes originate from
differences in the relationship between groundwater storage and the spatial
structure of the groundwater table. This relationship is characterized by
the Groundwater Depth Distribution (GDD) curve that relates spatial
variation in groundwater depths to the average groundwater depth. The
GDD-curve was measured for a single field site (0.009 km2) and simple
process descriptions were applied to relate groundwater levels to flow
route discharges. This parsimonious model could accurately describe observed
storage, tube drain discharge, overland flow and groundwater flow
simultaneously with Nash-Sutcliff coefficients exceeding 0.8. A
probabilistic Monte Carlo approach was applied to upscale field-site
measurements to catchment scales by inferring scale-specific GDD-curves from
the hydrographs of two nested catchments (0.4 and 6.5 km2). The estimated
contribution of tube drain effluent (a dominant source for nitrates)
decreased with increasing scale from 76–79% at the field-site to
34–61% and 25–50% for both catchment scales. These results were
validated by demonstrating that a model conditioned on nested-scale
measurements improves simulations of nitrate loads and predictions of
extreme discharges during validation periods compared to a model that was
conditioned on catchment discharge only. |
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