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Using internal catchment information to reduce the uncertainty of discharge and baseflow prediction
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Air and Water Science. (Hydrologi)
2007 (English)In: Advances in Water Resources, ISSN 0309-1708, E-ISSN 1872-9657, Vol. 30, no 4, 808-823 p.Article in journal (Refereed) Published
Abstract [en]

The semi-distributed hydrological model TOPMODEL was tested with data from the Can Vila research basin (Vallcebre) in order to verify its adequacy for simulating runoff and the relative contributions from saturated overland flow and groundwater flow. After a test of the overall performance of the model, only data from a wet period were selected for this work. The test was performed using the GLUE method. The model was conditioned on continuous discharge and water table records. Furthermore, point measurements of recession flow simultaneous with water table depth and the extent of saturated areas were used to condition the distributions of the more relevant parameters, using new or updated evaluation measures. A wide range of parameter sets provided acceptable results for flow simulation when the model was conditioned on flow data alone, and the uncertainty of prediction of the contribution from groundwater was extremely large. However, conditioning on water table records and the distribution of parameters obtained from point observations strongly reduced the uncertainty of predictions for both stream flow and groundwater contribution.

Place, publisher, year, edition, pages
2007. Vol. 30, no 4, 808-823 p.
Keyword [en]
TOPMODEL, GLUE, Hydrograph separation, Uncertainty analysis, Overland flow, Subsurface flow, Water table, Saturated areas
National Category
Earth and Related Environmental Sciences
URN: urn:nbn:se:uu:diva-15386DOI: 10.1016/j.advwatres.2006.06.005OAI: oai:DiVA.org:uu-15386DiVA: diva2:43157
Available from: 2008-02-12 Created: 2008-02-12 Last updated: 2010-05-10Bibliographically approved

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Beven, Keith J
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