000003523 001__ 3523
000003523 005__ 20180326114123.0
000003523 037__ $$aPOSTER-2018-0037
000003523 100__ $$aDelforge, D.
000003523 245__ $$aHydrograph separation using recursive filters and causal objective functions
000003523 260__ $$c2018
000003523 269__ $$c2018-04-11
000003523 520__ $$aHydrograph separation consists in partitioning streamflow into its quickflow and baseflow components. These components represent water incoming to the stream respectively by surface/subsurface processes and by aquifer discharge. Among the methods used to separate the components, recursive digital filters are straightforward parametric methods. However, estimating the filter parameters is either subjective or requires investigation efforts jeopardizing the initial simplicity of the method. In this research, we investigate the Eckhardt 2-parameters recursive filter method and the Convergent Cross Mapping (CCM) based method for hydrograph separation. The latter method is a new method that promises to identify causal relationships between time series belonging to the same dynamical systems. The method is based on phase space reconstruction and is suitable for nonlinear dynamics. As the base flow and quick flow are induced by different processes and dynamics, we assume that a proper separation would minimize CCM between the two components. This hypothesis is tested using virtual reservoir modelling. We further investigate the causal relationships within the model time series using CCM with the general purpose of investigating how empirical causality could be used to objectify Eckhardt’s filter parameters
000003523 536__ $$aFRS-FRIA/$$cFRS-FRIA/$$fFRS-FRIA
000003523 594__ $$aNO
000003523 6531_ $$aHydrograph
000003523 6531_ $$aConvergence cross mapping
000003523 6531_ $$aRochefort
000003523 6531_ $$aKARAG
000003523 700__ $$aVanclooster, M.
000003523 700__ $$aVan Camp, M.
000003523 773__ $$tEGU meeting, Vienna
000003523 8560_ $$fmichel.vancamp@observatoire.be
000003523 85642 $$ahttps://meetingorganizer.copernicus.org/EGU2018/EGU2018-12502.pdf
000003523 980__ $$aCPOSTER