Closure to “Application of AI Approaches to Estimate Discharge Coefficient of Novel Kind of Sharp-Crested V-Notch Weirs”
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VIEW THE ORIGINAL ARTICLEAuthors: Amin Gharehbaghi https://orcid.org/0000-0002-2898-3681 [email protected] and Redvan Ghasemlounia https://orcid.org/0000-0003-1796-4562 [email protected]Author Affiliations
Publication: Journal of Irrigation and Drainage Engineering
Volume 149, Issue 7
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References
Kumar, S., Z. Ahmad, and T. Mansoor. 2011. “A new approach to improve the discharging capacity of sharp-crested triangular plan form weirs.” Flow Meas. Instrum. 22 (3): 175–180. https://doi.org/10.1016/j.flowmeasinst.2011.01.006.
Lary, D. J., A. H. Alavi, A. H. Gandomi, and A. L. Walker. 2016. “Machine learning in geosciences and remote sensing.” Geosci. Front. 7 (1): 3–10. https://doi.org/10.1016/j.gsf.2015.07.003.
Saadatnejadgharahassanlou, H., A. Gharehbaghi, S. Mehdizadeh, B. Kaya, and J. Behmanesh. 2017. “Experimental investigation of discharge coefficient over novel kind of sharp crested V-notch weir.” Flow Meas. Instrum. 54 (7): 236–242. https://doi.org/10.1016/j.flowmeasinst.2017.02.008.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 149 • Issue 7 • July 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Sep 14, 2022
Accepted: Mar 27, 2023
Published online: Apr 28, 2023
Published in print: Jul 1, 2023
Discussion open until: Sep 28, 2023
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Authors
Affiliations
Assistant Professor, Faculty of Engineering, Dept. of Civil Engineering, Hasan Kalyoncu Univ., Şahinbey, Gaziantep 27110, Turkey. ORCID: https://orcid.org/0000-0002-2898-3681. Email: [email protected]
Assistant Professor, Faculty of Engineering, Dept. of Civil Engineering, Istanbul Gedik Univ., Istanbul 34876, Turkey (corresponding author). ORCID: https://orcid.org/0000-0003-1796-4562. Email: [email protected]
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