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https://doi.org/10.5194/hess-2020-136
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-136
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 06 May 2020

Submitted as: research article | 06 May 2020

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This preprint is currently under review for the journal HESS.

Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model

Juan Naves1, Juan T. García2, Jerónimo Puertas1, Joaquín Suárez1, and Jose Anta1 Juan Naves et al.
  • 1Universidade da Coruña, Water and Environmental Engineering Research Team (GEAMA), Civil Engineering School, A Coruña, 15071, Spain
  • 2Mining and Civil Engineering Department, Universidad Politécnica de Cartagena, Cartagena, 30203, Spain

Abstract. Although surface velocities are key in the calibration of physically based urban drainage models, the shallow water depths developed during non-extreme precipitations and the potential risks during flood events limit the availability of this type of data in urban catchments. In this context, imaging velocimetry techniques are being investigated as suitable non-intrusive methods to estimate runoff velocities, when the possible influence of rain has yet to be analyzed. This study carried out a comparative assessment of different seeded and unseeded imaging velocimetry techniques: Large Scale Particle Image Velocimetry (LSPIV); Surface Structure Image Velocimetry (SSIV); and Bubble Image Velocimetry (BIV), through six realistic but laboratory-controlled experiments where the runoff generated by three different rain intensities was recorded. First, the use of naturally-generated bubbles and water shadows and glares as tracers allows the unseeded techniques (SSIV and BIV) to measure extremely shallow flows, but these are more affected by raindrop impacts, which even lead to erroneous velocities in the case of the highest rain intensities. At the same time, better results were obtained with techniques that use artificial particles for high intensities and in complex flows. Finally, the study highlights the feasibility of these imaging techniques to be used in measuring surface velocities in real field applications and the importance of considering rain properties to interpret and assess the results obtained.

Juan Naves et al.

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Status: open (until 01 Jul 2020)
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WASHTREET. Runoff velocity data using different Particle Image Velocimetry (PIV) techniques in a full scale urban drainage physical model J. Naves, J. Anta, J. Suarez, and J. Puertas https://doi.org/10.5281/zenodo.3239401

Juan Naves et al.

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Short summary
Surface water velocities are key in the calibration of physically based urban drainage models. However, the shallow depths developed during non-extreme rainfall and the risks during floods limit the availability of this type of data. This study investigates the capability of imaging velocimetry techniques to measure water runoff velocities in urban catchments during rain events, highlighting the importance of considering rain properties to interpret and assess the results obtained.
Surface water velocities are key in the calibration of physically based urban drainage models....
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