Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model
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AuthorNaves García-Rendueles, Juan; García Bermejo, Juan Tomás; Puertas Agudo, Jerónimo; Anta Álvarez, José
Knowledge AreaIngeniería Hidráulica
SponsorsThe project receives funding from the Spanish Ministry of Science and Innovation under POREDRAIN project RTI2018-094217-B-C33 (MINECO/FEDER-EU).
Bibliographic CitationNaves, J., García, J. T., Puertas, J., and Anta, J.: Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model, Hydrol. Earth Syst. Sci., 25, 885–900, https://doi.org/10.5194/hess-25-885-2021, 2021.
KeywordsSurface water velocities
Physically based urban drainage models
Floods Velocimetry techniques
Although surface velocities are key in the calibration of physically based urban drainage models, the shallow water depths developed during non-extreme precipitation 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 based on large-scale particle image velocimetry (LSPIV) and bubble image velocimetry (BIV) through six realistic but laboratory-controlled experiments, in which 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 unseeded techniques to measure extremely shallow flows. However, these techniques are more ...
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