Articles | Volume 28, issue 16
https://doi.org/10.5194/hess-28-3717-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3717-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Aug 2024
Research article |
| 19 Aug 2024
| 19 Aug 2024
Estimating velocity distribution and flood discharge at river bridges using entropy theory – insights from computational fluid dynamics flow fields
Farhad Bahmanpouri
Research Institute for Geo-Hydrological Protection, National Research Council (CNR), 06128 Perugia, Italy
Tommaso Lazzarin
Department of Civil, Environmental and Architectural Engineering, University of Padova, 35131 Padua, Italy
Silvia Barbetta
Research Institute for Geo-Hydrological Protection, National Research Council (CNR), 06128 Perugia, Italy
Tommaso Moramarco
Research Institute for Geo-Hydrological Protection, National Research Council (CNR), 06128 Perugia, Italy
Department of Civil, Environmental and Architectural Engineering, University of Padova, 35131 Padua, Italy
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Short summary
The entropy model is a reliable tool to estimate flood discharge in rivers using observed level and surface velocity. Often, level and velocity sensors are placed on bridges, which may disturb the flow. Using accurate numerical models, we explored the entropy model reliability nearby a multi-arch bridge. We found that it is better to place sensors and to estimate the discharge upstream of bridges; downstream, the entropy model needs the river-wide distribution of surface velocity as input data.
The entropy model is a reliable tool to estimate flood discharge in rivers using observed level...
