Artificial neural networks approach for estimation of sediment removal efficiency of vortex settling basins-Reference-Cited by-同舟云学术

Artificial neural networks approach for estimation of sediment removal efficiency of vortex settling basins

Published:2013-03 Issue:1 Volume:19 Page:38-48
ISSN:0971-5010
Container-title:ISH Journal of Hydraulic Engineering
language:en
Short-container-title:ISH Journal of Hydraulic Engineering

Author:

Ansari Mujib Ahmad,Athar Mohd

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/09715010.2012.758415

Reference19 articles.

1. Ansari, M.A. (2008). Performance Evaluation of Vortex Settling Basins. PhD. Thesis, Department of Civil Engineering, Aligarh Muslim University, Aligarh India.

2. Athar, M. (2000). Study of Vortex Chamber Type Sediment Extractor, Ph.D. Thesis, Department of Civil Engineering, University of Roorkee, Roorkee, India.

3. Athar, M., Kothyari, U.C. and Garde, R.J. (2002). Sediment Removal Efficiency of Vortex Chamber Type Sediment Extractor. JHE, Proc. ASCE, Vol. 128, No. 12, pp. 1051–1059.

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