Articles | Volume 5, issue 1
Geosci. Instrum. Method. Data Syst., 5, 241–251, 2016
https://doi.org/10.5194/gi-5-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Geosci. Instrum. Method. Data Syst., 5, 241–251, 2016
https://doi.org/10.5194/gi-5-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 22 Jun 2016
Research article | 22 Jun 2016
A novel permanent gauge-cam station for surface-flow observations on the Tiber River
Flavia Tauro et al.
Viewed
Total article views: 1,673 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 917 | 685 | 71 | 1,673 | 88 | 83 |
- HTML: 917
- PDF: 685
- XML: 71
- Total: 1,673
- BibTeX: 88
- EndNote: 83
Total article views: 1,146 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 631 | 451 | 64 | 1,146 | 83 | 79 |
- HTML: 631
- PDF: 451
- XML: 64
- Total: 1,146
- BibTeX: 83
- EndNote: 79
Total article views: 527 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 286 | 234 | 7 | 527 | 5 | 4 |
- HTML: 286
- PDF: 234
- XML: 7
- Total: 527
- BibTeX: 5
- EndNote: 4
Cited
23 citations as recorded by crossref.
- Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. 10.1080/02626667.2017.1420191
- Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams D. Strelnikova et al. 10.3390/rs12030384
- Instantaneous River‐Wide Water Surface Velocity Field Measurements at Centimeter Scales Using Infrared Quantitative Image Velocimetry S. Schweitzer & E. Cowen 10.1029/2020WR029279
- Spatiotemporal Investigation of Event-Driven Sedimentation in a Tidally Influenced Shipyard by Air and Waterborne Observations O. Lojek et al. 10.1061/(ASCE)WW.1943-5460.0000572
- How to Avoid and Correct Biased Riverine Surface Image Velocimetry M. Detert 10.1029/2020WR027833
- A Sensing and Monitoring System for Hydrodynamic Flow Based on Imaging and Ultrasound A. Lay-Ekuakille et al. 10.3390/s19061347
- Enabling Image-Based Streamflow Monitoring at the Edge F. Tosi et al. 10.3390/rs12122047
- Towards harmonisation of image velocimetry techniques for river surface velocity observations M. Perks et al. 10.5194/essd-12-1545-2020
- Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry? F. Tauro et al. 10.1002/2017WR020848
- Assessing geomorphic floodplain models for large scale coarse resolution 2D flood modelling in data scarce regions F. Peña et al. 10.1016/j.geomorph.2021.107841
- An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems S. Pearce et al. 10.3390/rs12020232
- Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan W. Huang et al. 10.3390/w10030280
- Real-Time Measurement of Flash-Flood in a Wadi Area by LSPIV and STIV M. Al-mamari et al. 10.3390/hydrology6010027
- Development of an inexpensive automated streamflow monitoring system M. LeGrand et al. 10.1002/hyp.13783
- Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers S. Dal Sasso et al. 10.3390/rs12111789
- A Drone‐Borne Method to Jointly Estimate Discharge and Manning's Roughness of Natural Streams F. Bandini et al. 10.1029/2020WR028266
- PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring F. Tauro et al. 10.1016/j.catena.2018.09.009
- Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV D. Pumo et al. 10.3390/w13030247
- Exploring the optimal experimental setup for surface flow velocity measurements using PTV S. Dal Sasso et al. 10.1007/s10661-018-6848-3
- Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model J. Naves et al. 10.5194/hess-25-885-2021
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow A. Pizarro et al. 10.5194/hess-24-5173-2020
- Surface flow measurements from drones F. Tauro et al. 10.1016/j.jhydrol.2016.06.012
22 citations as recorded by crossref.
- Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. 10.1080/02626667.2017.1420191
- Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams D. Strelnikova et al. 10.3390/rs12030384
- Instantaneous River‐Wide Water Surface Velocity Field Measurements at Centimeter Scales Using Infrared Quantitative Image Velocimetry S. Schweitzer & E. Cowen 10.1029/2020WR029279
- Spatiotemporal Investigation of Event-Driven Sedimentation in a Tidally Influenced Shipyard by Air and Waterborne Observations O. Lojek et al. 10.1061/(ASCE)WW.1943-5460.0000572
- How to Avoid and Correct Biased Riverine Surface Image Velocimetry M. Detert 10.1029/2020WR027833
- A Sensing and Monitoring System for Hydrodynamic Flow Based on Imaging and Ultrasound A. Lay-Ekuakille et al. 10.3390/s19061347
- Enabling Image-Based Streamflow Monitoring at the Edge F. Tosi et al. 10.3390/rs12122047
- Towards harmonisation of image velocimetry techniques for river surface velocity observations M. Perks et al. 10.5194/essd-12-1545-2020
- Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry? F. Tauro et al. 10.1002/2017WR020848
- Assessing geomorphic floodplain models for large scale coarse resolution 2D flood modelling in data scarce regions F. Peña et al. 10.1016/j.geomorph.2021.107841
- An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems S. Pearce et al. 10.3390/rs12020232
- Application of an Automated Discharge Imaging System and LSPIV during Typhoon Events in Taiwan W. Huang et al. 10.3390/w10030280
- Real-Time Measurement of Flash-Flood in a Wadi Area by LSPIV and STIV M. Al-mamari et al. 10.3390/hydrology6010027
- Development of an inexpensive automated streamflow monitoring system M. LeGrand et al. 10.1002/hyp.13783
- Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers S. Dal Sasso et al. 10.3390/rs12111789
- A Drone‐Borne Method to Jointly Estimate Discharge and Manning's Roughness of Natural Streams F. Bandini et al. 10.1029/2020WR028266
- PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring F. Tauro et al. 10.1016/j.catena.2018.09.009
- Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV D. Pumo et al. 10.3390/w13030247
- Exploring the optimal experimental setup for surface flow velocity measurements using PTV S. Dal Sasso et al. 10.1007/s10661-018-6848-3
- Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model J. Naves et al. 10.5194/hess-25-885-2021
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow A. Pizarro et al. 10.5194/hess-24-5173-2020
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 20 Sep 2021
Short summary
Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering practice. In this paper, we describe a novel permanent gauge-cam station for large-scale and continuous observation of surface flows, based on remote acquisition and calibration of video data. In a feasibility study, we demonstrate that accurate surface-flow velocity estimations can be obtained by analyzing experimental images via particle tracking velocimetry.
Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering...
