Articles | Volume 26, issue 13
https://doi.org/10.5194/hess-26-3497-2022
© Author(s) 2022. 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-26-3497-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2022
Research article |
| 08 Jul 2022
| 08 Jul 2022
Technical note: Analyzing river network dynamics and the active length–discharge relationship using water presence sensors
Francesca Zanetti
CORRESPONDING AUTHOR
Department of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy
Nicola Durighetto
Department of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy
Filippo Vingiani
Department of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy
Gianluca Botter
Department of Civil, Environmental and Architectural Engineering, University of Padua, Padua, Italy
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Cited
15 citations as recorded by crossref.
- Measuring zero water level in stream reaches: A comparison of an image‐based versus a conventional method A. Herzog et al. 10.1002/hyp.14658
- Characterizing Space‐Time Channel Network Dynamics in a Mediterranean Intermittent Catchment of Central Italy Combining Visual Surveys and Cameras S. Noto et al. 10.1029/2023WR034682
- Are temporary stream observations useful for calibrating a lumped hydrological model? M. Scheller et al. 10.1016/j.jhydrol.2024.130686
- An investigation of anthropogenic influences on hydrologic connectivity using model stress tests A. Herzog et al. 10.5194/hess-28-4065-2024
- Integrating spatially-and temporally-heterogeneous data on river network dynamics using graph theory N. Durighetto et al. 10.1016/j.isci.2023.107417
- Assessing the Influence of Zero‐Flow Threshold Choice for Characterising Intermittent Stream Hydrology S. Yu et al. 10.1002/hyp.15300
- Catchment response times – understanding runoff dynamics from catchment distances and celerities T. Skaugen et al. 10.1080/02626667.2023.2201449
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Mapping Surface Water Presence and Hyporheic Flow Properties of Headwater Stream Networks With Multispectral Satellite Imagery D. Dralle et al. 10.1029/2022WR034169
- Short‐term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements I. Bujak‐Ozga et al. 10.1002/hyp.15041
- How do different runoff generation mechanisms drive stream network dynamics? Insights from physics‐based modelling F. Zanetti et al. 10.1002/hyp.15234
- On the Relation Between Active Network Length and Catchment Discharge N. Durighetto & G. Botter 10.1029/2022GL099500
- Technical note: Analyzing river network dynamics and the active length–discharge relationship using water presence sensors F. Zanetti et al. 10.5194/hess-26-3497-2022
- Probabilistic Description of Streamflow and Active Length Regimes in Rivers N. Durighetto et al. 10.1029/2021WR031344
- Extending Active Network Length Versus Catchment Discharge Relations to Temporarily Dry Outlets G. Botter et al. 10.1029/2023WR035617
11 citations as recorded by crossref.
- Measuring zero water level in stream reaches: A comparison of an image‐based versus a conventional method A. Herzog et al. 10.1002/hyp.14658
- Characterizing Space‐Time Channel Network Dynamics in a Mediterranean Intermittent Catchment of Central Italy Combining Visual Surveys and Cameras S. Noto et al. 10.1029/2023WR034682
- Are temporary stream observations useful for calibrating a lumped hydrological model? M. Scheller et al. 10.1016/j.jhydrol.2024.130686
- An investigation of anthropogenic influences on hydrologic connectivity using model stress tests A. Herzog et al. 10.5194/hess-28-4065-2024
- Integrating spatially-and temporally-heterogeneous data on river network dynamics using graph theory N. Durighetto et al. 10.1016/j.isci.2023.107417
- Assessing the Influence of Zero‐Flow Threshold Choice for Characterising Intermittent Stream Hydrology S. Yu et al. 10.1002/hyp.15300
- Catchment response times – understanding runoff dynamics from catchment distances and celerities T. Skaugen et al. 10.1080/02626667.2023.2201449
- Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. 10.1002/hyp.15167
- Mapping Surface Water Presence and Hyporheic Flow Properties of Headwater Stream Networks With Multispectral Satellite Imagery D. Dralle et al. 10.1029/2022WR034169
- Short‐term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements I. Bujak‐Ozga et al. 10.1002/hyp.15041
- How do different runoff generation mechanisms drive stream network dynamics? Insights from physics‐based modelling F. Zanetti et al. 10.1002/hyp.15234
4 citations as recorded by crossref.
- On the Relation Between Active Network Length and Catchment Discharge N. Durighetto & G. Botter 10.1029/2022GL099500
- Technical note: Analyzing river network dynamics and the active length–discharge relationship using water presence sensors F. Zanetti et al. 10.5194/hess-26-3497-2022
- Probabilistic Description of Streamflow and Active Length Regimes in Rivers N. Durighetto et al. 10.1029/2021WR031344
- Extending Active Network Length Versus Catchment Discharge Relations to Temporarily Dry Outlets G. Botter et al. 10.1029/2023WR035617
Latest update: 21 Nov 2024
Short summary
River networks are highly dynamical. Characterizing expansion and retraction of flowing streams is a significant scientific challenge. Electrical resistance sensors were used to monitor stream network patterns in an alpine catchment. Our data show the presence of spatial heterogeneity in network dynamics and that the active length is more sensitive than discharge to small rain events. The study unravels potentials and limitations of the sensors for the characterization of temporary streams.
River networks are highly dynamical. Characterizing expansion and retraction of flowing streams...
