Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Flood Discharge Measurement by STIV Coupled with Maximum Entropy Method Using Parameter Estimation by Numerical Analysis
https://orcid.org/https://orcid.org/0000-0003-3278-819X
https://orcid.org/https://orcid.org/0000-0002-4456-1315
The coupling of surface velocity measurement by image analysis and the maximum entropy method (MEM) is a non-contact measurement technique to estimate river discharge during flood with high accuracy. The MEM can represent complex vertical velocity distributions including velocity dips, but there is a challenge that the measurement of the cross-sectional velocity distribution by Acoustic Doppler Current Profiler (ADCP), etc. must be required at least once to determine the entropy parameter, which is a specific value at the cross section. This study proposes a new framework for determining the entropy parameter at new measurement sites based on the results of 3-D flow simulations. The framework is applied to two measurement sites, and the cross-sectional velocity distribution and the discharge estimated by the MEM with the entropy parameter are evaluated. The result shows that the framework enables the setting of an appropriate entropy parameter at a given site, and that the discharge estimated using the entropy parameter has a relative error of less than 10% to those measured by the ADCP.
Flood Discharge Measurement by STIV Coupled with Maximum Entropy Method Using Parameter Estimation by Numerical Analysis
https://orcid.org/https://orcid.org/0000-0003-3278-819X
https://orcid.org/https://orcid.org/0000-0002-4456-1315
The coupling of surface velocity measurement by image analysis and the maximum entropy method (MEM) is a non-contact measurement technique to estimate river discharge during flood with high accuracy. The MEM can represent complex vertical velocity distributions including velocity dips, but there is a challenge that the measurement of the cross-sectional velocity distribution by Acoustic Doppler Current Profiler (ADCP), etc. must be required at least once to determine the entropy parameter, which is a specific value at the cross section. This study proposes a new framework for determining the entropy parameter at new measurement sites based on the results of 3-D flow simulations. The framework is applied to two measurement sites, and the cross-sectional velocity distribution and the discharge estimated by the MEM with the entropy parameter are evaluated. The result shows that the framework enables the setting of an appropriate entropy parameter at a given site, and that the discharge estimated using the entropy parameter has a relative error of less than 10% to those measured by the ADCP.
Flood Discharge Measurement by STIV Coupled with Maximum Entropy Method Using Parameter Estimation by Numerical Analysis
https://orcid.org/https://orcid.org/0000-0003-3278-819X
https://orcid.org/https://orcid.org/0000-0002-4456-1315
The coupling of surface velocity measurement by image analysis and the maximum entropy method (MEM) is a non-contact measurement technique to estimate river discharge during flood with high accuracy. The MEM can represent complex vertical velocity distributions including velocity dips, but there is a challenge that the measurement of the cross-sectional velocity distribution by Acoustic Doppler Current Profiler (ADCP), etc. must be required at least once to determine the entropy parameter, which is a specific value at the cross section. This study proposes a new framework for determining the entropy parameter at new measurement sites based on the results of 3-D flow simulations. The framework is applied to two measurement sites, and the cross-sectional velocity distribution and the discharge estimated by the MEM with the entropy parameter are evaluated. The result shows that the framework enables the setting of an appropriate entropy parameter at a given site, and that the discharge estimated using the entropy parameter has a relative error of less than 10% to those measured by the ADCP.
Flood Discharge Measurement by STIV Coupled with Maximum Entropy Method Using Parameter Estimation by Numerical Analysis
KSCE J Civ Eng
Omori, Yoshiro (Autor:in) / Yoshimura, Hideto (Autor:in) / Fujita, Ichiro (Autor:in) / Watanabe, Ken (Autor:in)
KSCE Journal of Civil Engineering ; 28 ; 1122-1131
01.03.2024
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Flood Surface Flow Measurement by STIV in Adverse Conditions for Imaging
| HENRY – Bundesanstalt für Wasserbau (BAW) | 2008
Improving Accuracy and Robustness of Space-Time Image Velocimetry (STIV) with Deep Learning
| DOAJ | 2021
Maximum entropy probability distributions for flood frequency analysis
| Taylor & Francis Verlag | 1987