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Closure to "Flow condition identification and discharge calibration for submerged radial gates" by YONGXIN GUO, XINLEI GUO, YISEN WANG, TAO WANG, HUI FU and JIAZHEN LI, J. Hydraulic Res. 59(4), 2021, 683–690 https://doi.org.10.1080/00221686.2020.1818305
- Source :
-
Journal of Hydraulic Research / Journal de Recherches Hydraulique . Dec2022, Vol. 60 Issue 6, p1012-1013. 2p. - Publication Year :
- 2022
-
Abstract
- The following conclusions can be drawn: Under partially submerged flow conditions, the prediction accuracies of both Wingate software and the identification method suggested by the original paper were the best, followed by the empirical relationship method by Wu (2008) and the dimensionless method by Bijankhan et al. (2013), in that order. The identification method proposed by the original paper significantly improved the discharge prediction accuracies and the maximum error was only 23%, wherein the constant parameters were re-calibrated by the least squares fitting (Guo et al., [6]). Discharge calibration for gates is certainly a research area that merits a great deal of attention in order to improve discharge measurement and automatic control. [Extracted from the article]
- Subjects :
- *CALIBRATION
*HYDRAULIC engineering
*WATER diversion
*FLOW measurement
Subjects
Details
- Language :
- English
- ISSN :
- 00221686
- Volume :
- 60
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Hydraulic Research / Journal de Recherches Hydraulique
- Publication Type :
- Academic Journal
- Accession number :
- 160756060
- Full Text :
- https://doi.org/10.1080/00221686.2022.2106595