| dc.contributor.author | Panwar, Dinesh | |
| dc.contributor.author | Tiwari, Nand Kumar | |
| dc.date.accessioned | 2026-08-20T11:10:23Z | |
| dc.date.available | 2026-08-20T11:10:23Z | |
| dc.date.copyright | 2026/03/25 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JIDEDH.IRENG-10716.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311793 | |
| dc.description.abstract | AbstractThis 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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Optimizing Venturi Flume Design for Sustainable Water Management: Bridging Flow Accuracy and Aeration Efficiency through Experimental and Machine-Learning Approaches | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Journal of Irrigation and Drainage Engineering | |
| dc.identifier.doi | 10.1061/JIDEDH.IRENG-10716 | |
| dc.journal.fristpage | 04026003-1 | |
| dc.journal.lastpage | 04026003-20 | |
| dc.page | 20 | |
| dc.tree | Journal of Irrigation and Drainage Engineering:;2026:;Volume ( 152 ):;issue: 003 | |
| dc.contenttype | Fulltext | |