Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2929-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-2929-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Jul 2016
Research article |
| 20 Jul 2016
Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations
Swiss Federal Research Institute WSL, Birmensdorf,
Switzerland
Department of Geography, University of Zurich, Zurich,
Switzerland
Rahel Buss
Swiss Federal Research Institute WSL, Birmensdorf,
Switzerland
Simon Scherrer
Scherrer AG, Basel, Switzerland
Michael Margreth
SoilCom GmbH, Zurich, Switzerland
Massimiliano Zappa
Swiss Federal Research Institute WSL, Birmensdorf,
Switzerland
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22 citations as recorded by crossref.
- Runoff and sediment simulation of terraces and check dams based on underlying surface conditions G. Li et al. 10.1007/s13201-022-01828-8
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- Objective Regolith-Landform Mapping in a Regolith Dominated Terrain to Inform Mineral Exploration A. Caruso et al. 10.3390/geosciences8090318
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
- Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
- SWATCH21: A project for linking eco-hydrologic processes and services to aquatic biodiversity at river and catchment levels A. Lehmann et al. 10.1016/j.ecohyd.2019.01.003
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Exploring the Dominant Runoff Processes in Two Typical Basins of the Yellow River, China G. Ran et al. 10.3390/w12113055
- Spatial Evaluation of a Hydrological Model on Dominant Runoff Generation Processes Using Soil Hydrologic Maps H. Mohajerani et al. 10.3390/hydrology10030055
- Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland) M. Antonetti et al. 10.5194/nhess-19-19-2019
- Theoretical and empirical comparative evaluations on measures of map association Y. Lin et al. 10.1007/s10109-020-00324-4
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. 10.5194/hess-24-1319-2020
- GIS-Based Sub-Basin Scale Identification of Dominant Runoff Processes for Soil and Water Management in Anambra Area of Nigeria B. Fagbohun et al. 10.1515/ctg-2017-0007
- How do hydrologists perceive watersheds? A survey and analysis of perceptual model figures for experimental watersheds H. McMillan et al. 10.1002/hyp.14845
- Runoff–Sediment Simulation of Typical Small Watershed in Loess Plateau of China S. Jian et al. 10.3390/su15064894
- Identifying Dominant Runoff Processes at a Regional Scale – A GIS - Based Approach F. Joseph et al. 10.1515/pesd-2017-0022
- Reducing uncertainty of design floods of two-component mixture distributions by utilizing flood timescale to classify flood types in seasonally snow covered region L. Yan et al. 10.1016/j.jhydrol.2019.04.056
- The dominant runoff processes on grassland versus bare soil hillslopes in a temperate environment - An experimental study G. Minea et al. 10.2478/johh-2019-0018
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
- The impacts of a changing climate on catchment water balance and forest management G. Schüler et al. 10.1002/eco.1805
20 citations as recorded by crossref.
- Runoff and sediment simulation of terraces and check dams based on underlying surface conditions G. Li et al. 10.1007/s13201-022-01828-8
- Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al. 10.5194/hess-23-1801-2019
- Objective Regolith-Landform Mapping in a Regolith Dominated Terrain to Inform Mineral Exploration A. Caruso et al. 10.3390/geosciences8090318
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
- Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
- SWATCH21: A project for linking eco-hydrologic processes and services to aquatic biodiversity at river and catchment levels A. Lehmann et al. 10.1016/j.ecohyd.2019.01.003
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Exploring the Dominant Runoff Processes in Two Typical Basins of the Yellow River, China G. Ran et al. 10.3390/w12113055
- Spatial Evaluation of a Hydrological Model on Dominant Runoff Generation Processes Using Soil Hydrologic Maps H. Mohajerani et al. 10.3390/hydrology10030055
- Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland) M. Antonetti et al. 10.5194/nhess-19-19-2019
- Theoretical and empirical comparative evaluations on measures of map association Y. Lin et al. 10.1007/s10109-020-00324-4
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. 10.5194/hess-24-1319-2020
- GIS-Based Sub-Basin Scale Identification of Dominant Runoff Processes for Soil and Water Management in Anambra Area of Nigeria B. Fagbohun et al. 10.1515/ctg-2017-0007
- How do hydrologists perceive watersheds? A survey and analysis of perceptual model figures for experimental watersheds H. McMillan et al. 10.1002/hyp.14845
- Runoff–Sediment Simulation of Typical Small Watershed in Loess Plateau of China S. Jian et al. 10.3390/su15064894
- Identifying Dominant Runoff Processes at a Regional Scale – A GIS - Based Approach F. Joseph et al. 10.1515/pesd-2017-0022
- Reducing uncertainty of design floods of two-component mixture distributions by utilizing flood timescale to classify flood types in seasonally snow covered region L. Yan et al. 10.1016/j.jhydrol.2019.04.056
- The dominant runoff processes on grassland versus bare soil hillslopes in a temperate environment - An experimental study G. Minea et al. 10.2478/johh-2019-0018
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
We evaluated three automatic mapping approaches of dominant runoff processes (DRPs) with different complexity using similarity measures and synthetic runoff simulations. The most complex DRP maps were the most similar to the reference maps. Runoff simulations derived from the simpler DRP maps were more uncertain due to inaccuracies in the input data and rather coarse simplifications in the mapping criteria. It would thus be worthwhile trying to obtain DRP maps that are as realistic as possible.
We evaluated three automatic mapping approaches of dominant runoff processes (DRPs) with...
