A Simulation–Optimization Technique to Estimate Discharge in Open Channels Based on Water Level Data Alone: Gradually Varied Flow Condition-Reference-Cited by-同舟云学术

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A Simulation–Optimization Technique to Estimate Discharge in Open Channels Based on Water Level Data Alone: Gradually Varied Flow Condition

Published:2018-08-14 Issue:2 Volume:43 Page:215-229
ISSN:2228-6160
Container-title:Iranian Journal of Science and Technology, Transactions of Civil Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Civ Eng

Author:

Balouchi Behnam,Abedini Mohammad Javad,Manhart Michael

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s40996-018-0149-5.pdf

Reference47 articles.

1. Abedini MJ, Nasseri M, Burn DH (2012) The use of a genetic algorithm-based search strategy in geostatistics: application to a set of anisotropic piezometric head data. Comput Geosci 41:136–146

2. Afzali SH (2016) Variable parameter Muskingum model. Iran J Sci Technol Trans Civ Eng 40:59–68

3. Arico C, Nasello C, Tucciarelli T (2009) Using unsteady-state water level data to estimate channel roughness and discharge hydrograph. Adv Water Resour 32(8):1223–1240

4. Arico C, Corato G, Tucciarelli T, Ben Meftah M, Petrillo AF, Mossa M (2010) Discharge estimation in open channels by means of water level hydrograph analysis. J Hydraul Res 48(5):612–619

5. Azimi H, Bonakdari H, Ebtehaj I, Gharabaghi B, Khoshbin F (2018) Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length. Acta Mech 229(3):1197–1214

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