Flood Discharge Measurement by STIV Coupled with Maximum Entropy Method Using Parameter Estimation by Numerical Analysis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12205-024-1458-9.pdf
Reference24 articles.
1. Belchle AJ, Wu CH (2014) An entropy-based surface velocity method for estuarine discharge measurement. Water Resources Research 50: 6106–6128, DOI: https://doi.org/10.1002/2014WR015353
2. Chiu CL (1989) Velocity distribution in open channel flow. Journal of Hydraulic Engineering 115(5):576–594, DOI: https://doi.org/10.1061/(ASCE)0733-9429(1989)115:5(576)
3. Chiu CL, Said CAA (1995) Maximum and mean velocities and entropy in open-channel flow. Journal of Hydraulic Engineering 121(1):26–35, DOI: https://doi.org/10.1061/(asce)0733-9429(1995)121:1(26)
4. Farina G, Alvisi S, Franchini M, Moramarco, T (2014) Three methods for estimating the entropy parameter M based on a decreasing number of velocity measurements in a river cross-section. Journal of Entropy 16(5):2512–2529, DOI: https://doi.org/10.3390/e16052512
5. Fujita I, Hamada T, Nishiyama K, Tani K (2019) Improvement of discharge estimation by applying maximum entropy method and surface turbulence measurement using space-time images. Journal of JSCE, Ser. B1(Hydraulic Engineering) 75(2): I_631–I_636, DOI: https://doi.org/10.2208/jscejhe.75.2_i_631 (in Japanese)
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