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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
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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.
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.

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 Tauro1, Andrea Petroselli2, Maurizio Porfiri3, Lorenzo Giandomenico4, Guido Bernardi4, Francesco Mele5, Domenico Spina5, and Salvatore Grimaldi1,3 Flavia Tauro et al.
  • 1Dipartimento per l'Innovazione nei Sistemi Biologici, Agroalimentari e Forestali, University of Tuscia, Viterbo 01100, Italy
  • 2Dipartimento di Scienze Agrarie e Forestali, University of Tuscia, Viterbo 01100, Italy
  • 3Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, 11201 Brooklyn, NY, USA
  • 4CAE S.p.a., San Lazzaro di Savena 40068, Italy
  • 5Centro Funzionale Regione Lazio, Rome 00145, Italy

Abstract. Flow monitoring of riverine environments is crucial for hydrology and hydraulic engineering practice. Besides few experimental implementations, flow gauging relies on local water level and surface-flow velocity measurements through ultrasonic meters and radars. 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. Located on the Tiber River, in the center of Rome, Italy, the station captures 1 min videos every 10 min over an area oriented along the river cross section of up to 20.6  ×  15.5 m2. In a feasibility study, we demonstrate that accurate surface-flow velocity estimations can be obtained by analyzing experimental images via particle tracking velocimetry (PTV). In medium illumination conditions (70–75 lux), PTV leads to velocity estimations in close agreement with radar records and is less affected by uneven lighting than large-scale particle image velocimetry. Future efforts will be devoted to the development of a comprehensive test bed infrastructure for investigating the potential of multiple optics-based approaches for surface hydrology.

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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...
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