Articles | Volume 5, issue 1
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.
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
Dipartimento per l'Innovazione nei Sistemi Biologici,
Agroalimentari e Forestali, University of Tuscia, Viterbo 01100, Italy
Andrea Petroselli
Dipartimento di Scienze Agrarie e Forestali, University of Tuscia,
Viterbo 01100, Italy
Maurizio Porfiri
Department of Mechanical and Aerospace
Engineering, New York University Tandon School of Engineering,
11201 Brooklyn, NY, USA
Lorenzo Giandomenico
CAE S.p.a., San Lazzaro di
Savena 40068, Italy
Guido Bernardi
CAE S.p.a., San Lazzaro di
Savena 40068, Italy
Francesco Mele
Centro Funzionale Regione Lazio, Rome 00145,
Italy
Domenico Spina
Centro Funzionale Regione Lazio, Rome 00145,
Italy
Salvatore Grimaldi
CORRESPONDING AUTHOR
Dipartimento per l'Innovazione nei Sistemi Biologici,
Agroalimentari e Forestali, University of Tuscia, Viterbo 01100, Italy
Department of Mechanical and Aerospace
Engineering, New York University Tandon School of Engineering,
11201 Brooklyn, NY, USA
Viewed
Total article views: 2,616 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,373 | 1,124 | 119 | 2,616 | 131 | 125 |
- HTML: 1,373
- PDF: 1,124
- XML: 119
- Total: 2,616
- BibTeX: 131
- EndNote: 125
Total article views: 1,980 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jun 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,072 | 796 | 112 | 1,980 | 126 | 121 |
- HTML: 1,072
- PDF: 796
- XML: 112
- Total: 1,980
- BibTeX: 126
- EndNote: 121
Total article views: 636 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 301 | 328 | 7 | 636 | 5 | 4 |
- HTML: 301
- PDF: 328
- XML: 7
- Total: 636
- BibTeX: 5
- EndNote: 4
Cited
33 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
- Instantaneous River‐Wide Water Surface Velocity Field Measurements at Centimeter Scales Using Infrared Quantitative Image Velocimetry S. Schweitzer & E. Cowen 10.1029/2020WR029279
- Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. 10.5194/hess-27-2051-2023
- 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
- 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
- Low-cost stage-camera system for continuous water-level monitoring in ephemeral streams S. Noto et al. 10.1080/02626667.2022.2079415
- 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
- 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
- A Drone‐Borne Method to Jointly Estimate Discharge and Manning's Roughness of Natural Streams F. Bandini et al. 10.1029/2020WR028266
- 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
- An automatic ANN-based procedure for detecting optimal image sequences supporting LS-PIV applications for rivers monitoring F. Alongi et al. 10.1016/j.jhydrol.2023.130233
- Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow A. Pizarro et al. 10.5194/hess-24-5173-2020
- Field performance of the GaugeCam image-based water level measurement system F. Birgand et al. 10.1371/journal.pwat.0000032
- Natural surface floaters in image-based river surface velocimetry: Insights from a case study H. Trieu et al. 10.1016/j.flowmeasinst.2024.102557
- Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams D. Strelnikova et al. 10.3390/rs12030384
- Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
- How to Avoid and Correct Biased Riverine Surface Image Velocimetry M. Detert 10.1029/2020WR027833
- 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
- Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations F. Tauro et al. 10.3390/rs10122010
- 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
- Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers S. Dal Sasso et al. 10.3390/rs12111789
- Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis B. Sirenden et al. 10.1007/s11042-022-13627-z
- Robust Image-Based Streamflow Measurements for Real-Time Continuous Monitoring S. Peña-Haro et al. 10.3389/frwa.2021.766918
- PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring F. Tauro et al. 10.1016/j.catena.2018.09.009
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Effect of Shape and Size on the Transport of Floating Particles on the Free Surface in a Natural Stream H. Sanness Salmon et al. 10.1029/2023WR035716
- Surface flow measurements from drones F. Tauro et al. 10.1016/j.jhydrol.2016.06.012
32 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
- Instantaneous River‐Wide Water Surface Velocity Field Measurements at Centimeter Scales Using Infrared Quantitative Image Velocimetry S. Schweitzer & E. Cowen 10.1029/2020WR029279
- Adaptively monitoring streamflow using a stereo computer vision system N. Hutley et al. 10.5194/hess-27-2051-2023
- 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
- 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
- Low-cost stage-camera system for continuous water-level monitoring in ephemeral streams S. Noto et al. 10.1080/02626667.2022.2079415
- 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
- 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
- A Drone‐Borne Method to Jointly Estimate Discharge and Manning's Roughness of Natural Streams F. Bandini et al. 10.1029/2020WR028266
- 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
- An automatic ANN-based procedure for detecting optimal image sequences supporting LS-PIV applications for rivers monitoring F. Alongi et al. 10.1016/j.jhydrol.2023.130233
- Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow A. Pizarro et al. 10.5194/hess-24-5173-2020
- Field performance of the GaugeCam image-based water level measurement system F. Birgand et al. 10.1371/journal.pwat.0000032
- Natural surface floaters in image-based river surface velocimetry: Insights from a case study H. Trieu et al. 10.1016/j.flowmeasinst.2024.102557
- Drone-Based Optical Measurements of Heterogeneous Surface Velocity Fields around Fish Passages at Hydropower Dams D. Strelnikova et al. 10.3390/rs12030384
- Considerations When Applying Large-Scale PIV and PTV for Determining River Flow Velocity M. Jolley et al. 10.3389/frwa.2021.709269
- How to Avoid and Correct Biased Riverine Surface Image Velocimetry M. Detert 10.1029/2020WR027833
- 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
- Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations F. Tauro et al. 10.3390/rs10122010
- 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
- Metrics for the Quantification of Seeding Characteristics to Enhance Image Velocimetry Performance in Rivers S. Dal Sasso et al. 10.3390/rs12111789
- Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis B. Sirenden et al. 10.1007/s11042-022-13627-z
- Robust Image-Based Streamflow Measurements for Real-Time Continuous Monitoring S. Peña-Haro et al. 10.3389/frwa.2021.766918
- PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring F. Tauro et al. 10.1016/j.catena.2018.09.009
- Surface flows from images: ten days of observations from the Tiber River gauge-cam station F. Tauro & S. Salvatori 10.2166/nh.2016.302
- Effect of Shape and Size on the Transport of Floating Particles on the Free Surface in a Natural Stream H. Sanness Salmon et al. 10.1029/2023WR035716
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 21 Nov 2024
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...
