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A platform for research: civil engineering, architecture and urbanism
Estimation of River Flow Discharges Using Image Processing
https://orcid.org/https://orcid.org/0000-0003-0337-7084
In the scope of water resources management, the regular measurement of river flow discharge is an essential tool to control and monitor natural variances and the prevention of damages in case of extreme events. The proposed method is based on Large-scale Image Velocimetry (LSPIV) i.e. on the analysis of a sequence of images and the measurement of the 2D velocity field at the surface of a watercourse. The present study consisted on the evaluation of this technique for the measurement of flow discharge based on experimental cases. The size and shape of the tracers and the relation between the depth-averaged and surface velocities were investigated by means of laboratory and in situ experiments. In addition, two LSPIV freeware software were tested and the quality of their results were analysed and compared to traditional measurements. The accuracy of the measurements seems to reach acceptable thresholds and the results were promising. Nevertheless, for a wider use of this technique, further research should be taken to solve specific issues.
Estimation of River Flow Discharges Using Image Processing
https://orcid.org/https://orcid.org/0000-0003-0337-7084
In the scope of water resources management, the regular measurement of river flow discharge is an essential tool to control and monitor natural variances and the prevention of damages in case of extreme events. The proposed method is based on Large-scale Image Velocimetry (LSPIV) i.e. on the analysis of a sequence of images and the measurement of the 2D velocity field at the surface of a watercourse. The present study consisted on the evaluation of this technique for the measurement of flow discharge based on experimental cases. The size and shape of the tracers and the relation between the depth-averaged and surface velocities were investigated by means of laboratory and in situ experiments. In addition, two LSPIV freeware software were tested and the quality of their results were analysed and compared to traditional measurements. The accuracy of the measurements seems to reach acceptable thresholds and the results were promising. Nevertheless, for a wider use of this technique, further research should be taken to solve specific issues.
Estimation of River Flow Discharges Using Image Processing
https://orcid.org/https://orcid.org/0000-0003-0337-7084
In the scope of water resources management, the regular measurement of river flow discharge is an essential tool to control and monitor natural variances and the prevention of damages in case of extreme events. The proposed method is based on Large-scale Image Velocimetry (LSPIV) i.e. on the analysis of a sequence of images and the measurement of the 2D velocity field at the surface of a watercourse. The present study consisted on the evaluation of this technique for the measurement of flow discharge based on experimental cases. The size and shape of the tracers and the relation between the depth-averaged and surface velocities were investigated by means of laboratory and in situ experiments. In addition, two LSPIV freeware software were tested and the quality of their results were analysed and compared to traditional measurements. The accuracy of the measurements seems to reach acceptable thresholds and the results were promising. Nevertheless, for a wider use of this technique, further research should be taken to solve specific issues.
Estimation of River Flow Discharges Using Image Processing
RILEM Bookseries
Chastre, Carlos (editor) / Neves, José (editor) / Ribeiro, Diogo (editor) / Pinho, Fernando F. S. (editor) / Biscaia, Hugo (editor) / Neves, Maria Graça (editor) / Faria, Paulina (editor) / Micaelo, Rui (editor) / Santos, Rodrigo (author) / Fernandes, João Nuno (author)
International Conference on Testing and Experimentation in Civil Engineering ; 2022 ; Almada, Portugal
Testing and Experimentation in Civil Engineering ; Chapter: 30 ; 363-374
RILEM Bookseries ; 41
2023-06-06
12 pages
Article/Chapter (Book)
Electronic Resource
English
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