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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- Implications of variations in stream specific conductivity for estimating baseflow using chemical mass balance and calibrated hydrograph techniques I. Cartwright 10.5194/hess-26-183-2022
- Impact of the model structure and calibration strategy on baseflow modeling in the German low mountain range M. Kissel et al. 10.2166/hydro.2024.077
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- Simple Catchments and Where to Find Them: The Storage-Discharge Relationship as a Proxy for Catchment Complexity F. Jehn et al. 10.3389/frwa.2021.631651
- A categorical quantification of the effects of vegetation restorations on streamflow variations in the Loess Plateau, China C. Yao et al. 10.1016/j.jhydrol.2023.130577
- When good signatures go bad: Applying hydrologic signatures in large sample studies H. McMillan et al. 10.1002/hyp.14987
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- Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
- Simulating hydrologic pathway contributions in fluvial and karst settings: An evaluation of conceptual, physically-based, and deep learning modeling approaches A. Husic et al. 10.1016/j.hydroa.2022.100134
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- Assessing the long-term hydrologic responses of river catchments in Taiwan using a multiple-component hydrograph approach H. Yeh & H. Chen 10.1016/j.jhydrol.2022.127916
- 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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- Temporal changes and flow pattern analysis using Colwell indices in mountainous rivers R. Mostafazadeh et al. 10.1007/s10668-023-03033-2
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- Elasticity curves describe streamflow sensitivity to precipitation across the entire flow distribution B. Anderson et al. 10.5194/hess-28-1567-2024
- Melting Alpine Water Towers Aggravate Downstream Low Flows: A Stress‐Test Storyline Approach M. van Tiel et al. 10.1029/2022EF003408
- Groundwater levels, climate and anthropogenic factors affect the hydrology and water quality of an intermittent and a regulated subtropical stream D. Kim et al. 10.1002/hyp.15074
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Latest update: 23 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...