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http://hdl.handle.net/2080/3940
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DC Field | Value | Language |
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dc.contributor.author | Kumar, Ajay | - |
dc.contributor.author | Pradhan, Biswajit | - |
dc.contributor.author | Khatua, K.K. | - |
dc.date.accessioned | 2023-02-09T04:34:21Z | - |
dc.date.available | 2023-02-09T04:34:21Z | - |
dc.date.issued | 2022-12 | - |
dc.identifier.citation | International conference Sustainable Technologies for River Erosion Alleviation and Management (STREAM-2022) IIT Guwahati, 14th-16th December 2022 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3940 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | The depth average velocity distributions in a strongly meandering channel with a sinuosity of 1.06 is studied experimentally in this research for rough channel beds. Basically, in this paper 3D velocity analysed at apex and crossover. The flow pattern and movement of the local maximum velocity at various points along the meander path between two subsequent bend apex regions are discovered through the analysis of velocity profiles. To compare the flow parameters in meandering channel. This paper describes how rigid gravels in a meandering channel affect the flow characteristics at two relative depths of 0.33 and 0.44, which alternately produce submerged flow conditions. Son Tek 16 MHz -ADV was used to record the velocity distribution in three dimensions. We were able to record, and categorise the velocity zones in channel. The depth average velocity values have increased at both the apex and crossover regions as the relative depth of the flow has decreased. | en_US |
dc.subject | Meandering channel with gravel bed | en_US |
dc.subject | Velocity profiles | en_US |
dc.subject | Son Tek 16 MHz - ADV | en_US |
dc.subject | Win ADV Software | en_US |
dc.title | Analysis of Flow Properties Along a Rectangular Meandering Channel in A Gravel Bed | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2022_STREAM_AKumar__Analysis.pdf | 1.02 MB | Adobe PDF | View/Open |
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