Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-849-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-849-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Beyond binary baseflow separation: a delayed-flow index for multiple streamflow contributions
Michael Stoelzle
CORRESPONDING AUTHOR
Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Invited contribution by Michael Stoelzle, recipient of the EGU Outstanding Student Poster Awards 2015.
Tobias Schuetz
Department of Hydrology, Faculty VI Regional and Environmental
Sciences, University of Trier, Trier, Germany
Markus Weiler
Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Kerstin Stahl
Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
Lena M. Tallaksen
Department of Geosciences, University of Oslo, Oslo, Norway
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- Groundwater and baseflow drought responses to synthetic recharge stress tests J. Hellwig et al. 10.5194/hess-25-1053-2021
- A novel method for cold-region streamflow hydrograph separation using GRACE satellite observations S. Wang et al. 10.5194/hess-25-2649-2021
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Latest update: 04 Nov 2024
Short summary
During dry weather, different delayed sources of runoff (e.g. from groundwater, wetlands or snowmelt) modulate the magnitude and variability of streamflow. Hydrograph separation methods often do not distinguish these delayed contributions and mostly pool them into only two components (i.e. quickflow and baseflow). We propose a method that uncovers multiple components and demonstrates how they better reflect streamflow generation processes of different flow regimes.
During dry weather, different delayed sources of runoff (e.g. from groundwater, wetlands or...