Articles | Volume 24, issue 3
https://doi.org/10.5194/hess-24-1171-2020
© 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-24-1171-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Mar 2020
Research article |
| 11 Mar 2020
| 11 Mar 2020
Hydrograph separation: an impartial parametrisation for an imperfect method
Antoine Pelletier
CORRESPONDING AUTHOR
École des Ponts ParisTech, Champs-sur-Marne, France
Université Paris-Saclay, INRAE, UR HYCAR, Antony, France
Vazken Andréassian
Université Paris-Saclay, INRAE, UR HYCAR, Antony, France
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33 citations as recorded by crossref.
- Improving the representation of stream water sources in surrogate nutrient models with water isotope data C. Ross et al. 10.1016/j.scitotenv.2023.164544
- Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
- Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti R. Bathelemy et al. 10.5194/essd-16-2073-2024
- Influences of the Runoff Partition Method on the Flexible Hybrid Runoff Generation Model for Flood Prediction B. Yi et al. 10.3390/w15152738
- Assessment of the WRF-Hydro uncoupled hydro-meteorological model on flashy watersheds of the Grande Terre tropical island of New Caledonia (South-West Pacific) A. Cerbelaud et al. 10.1016/j.ejrh.2022.101003
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- Fully Distributed Water Balance Modelling in Large Agricultural Areas—The Pinios River Basin (Greece) Case Study V. Pisinaras et al. 10.3390/su15054343
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- Forest cover lessens hurricane impacts on peak streamflow J. Hall et al. 10.1002/hyp.15249
- Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. 10.5194/hess-29-683-2025
- The implications of lag times between nitrate leaching losses and riverine loads for water quality policy R. McDowell et al. 10.1038/s41598-021-95302-1
- Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods N. Huynh et al. 10.1016/j.jhydrol.2023.129992
- Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin K. Biagi et al. 10.1016/j.scitotenv.2022.154023
- A novel method for cold-region streamflow hydrograph separation using GRACE satellite observations S. Wang et al. 10.5194/hess-25-2649-2021
- Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods Y. Yang & T. Chui 10.5194/hess-25-5839-2021
- Understanding event runoff coefficient variability across Australia using the hydroEvents R package C. Wasko & D. Guo 10.1002/hyp.14563
- Technical note: How physically based is hydrograph separation by recursive digital filtering? K. Eckhardt 10.5194/hess-27-495-2023
- 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
- Algorithm grwat for Automated Hydrograph Separation by B.I. Kudelin’s Method: Problems and Perspectives E. Rets et al. 10.1134/S0097807822010146
- Methods for Quantifying Interactions Between Groundwater and Surface Water R. Ma et al. 10.1146/annurev-environ-111522-104534
- Caractérisation de la mémoire des bassins versants par approche croisée entre piézométrie et séparation d'hydrogramme A. Pelletier & V. Andréassian 10.1051/lhb/2020032
- Rapid mobilization of old water during urban stormflow S. Ariano & C. Oswald 10.1002/hyp.14745
- On the use of streamflow transformations for hydrological model calibration G. Thirel et al. 10.5194/hess-28-4837-2024
- On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation A. Pelletier & V. Andréassian 10.5194/hess-26-2733-2022
- Identification of the spatio-temporal and fluvial-pluvial sources of flood inundation in the Lower Mekong Basin S. Try et al. 10.1186/s40562-022-00215-0
- The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components A. Ballarin et al. 10.1029/2022WR032413
- Baseflow signature behaviour of mountainous catchments around the North China Plain S. Lyu et al. 10.1016/j.jhydrol.2022.127450
- Quantifying multi-year hydrological memory with Catchment Forgetting Curves A. de Lavenne et al. 10.5194/hess-26-2715-2022
- A combined mixing model for high-frequency concentration–discharge relationships J. Tunqui Neira et al. 10.1016/j.jhydrol.2020.125559
- A simple mixing model using electrical conductivity yields robust hydrograph separation in a tropical montane catchment P. Lazo et al. 10.1016/j.jhydrol.2024.131632
- Evaluation of baseflow modelling structure in monthly water balance models using 443 Australian catchments S. Cheng et al. 10.1016/j.jhydrol.2020.125572
Latest update: 23 Apr 2025
Short summary
There are many ways for water to join a river after a rainfall event, but they can be split into two categories: the quick ones that remain in the surface and the slow ones that use other trajectories. Thus, measured streamflow of a river can be split into two components: quickflow and baseflow. We present a new method to perform this separation, using only streamflow and rainfall data, which are generally broadly available. It is then used as an analysis tool of river dynamics over France.
There are many ways for water to join a river after a rainfall event, but they can be split into...
