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contributor authorPanwar, Dinesh
contributor authorTiwari, Nand Kumar
date accessioned2026-08-20T11:10:23Z
date available2026-08-20T11:10:23Z
date copyright2026/03/25
date issued2026
identifier otherJIDEDH.IRENG-10716.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311793
description abstractAbstractThis study introduces a machine learning (ML) framework to optimize Venturi flume design for improved aeration efficiency (E20) and discharge coefficient (Cd) for sustainable water management. Six flume geometries: three fundamental Venturi flumes ...Practical ApplicationsVenturi flumes play a crucial role in both aeration and accurate flow measurement, distinguishing themselves from traditional drop structures such as weirs, cascades, and spillways through their low head loss and high precision under ...
publisherAmerican Society of Civil Engineers
titleOptimizing Venturi Flume Design for Sustainable Water Management: Bridging Flow Accuracy and Aeration Efficiency through Experimental and Machine-Learning Approaches
typeJournal Article
journal volume152
journal issue3
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/JIDEDH.IRENG-10716
journal fristpage04026003-1
journal lastpage04026003-20
page20
treeJournal of Irrigation and Drainage Engineering:;2026:;Volume ( 152 ):;issue: 003
contenttypeFulltext


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