calibration of submerged multi-sluice gates
Clicks: 3
ID: 223322
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
0.6
/100
3 views
2 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #135 of 137 articles by views in PLoS computational biology
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 137 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Sluice gates are used for flow measuring and control in irrigation channels. Free flowing sluice gates are simply calibrated while it turned to be more complicated when worked under submerged condition especially for multi-sluice gates. Experimental studies are conducted at the Hydraulic Research Institute, in National Water Research Center (NWRC), Ministry of Water Resources and Irrigation (MWRI), Delta Barrages, Egypt, on a prototype for Assiut Barrage, to simulate flow scenarios and develop new calibration method.
The main objective of this work is to study experimentally and verify empirically the different parameters affecting the discharge through submerged multiple sluice gates (i.e., the expansion ratios, gates operational management, etc.). Using multiple regression analysis of the experimental results, a general equation for discharge coefficient is developed. The results show, that the increase in the expansion ratio and the asymmetric operation of gates, give higher values for the discharge coefficient. The obtained predictions of the discharge coefficient using the developed equations are compared to the experimental data. The present developed equations showed good consistency and high accuracy.
| Reference Key |
sauida2014alexandriacalibration
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Mohamed F. Sauida |
| Journal | PLoS computational biology |
| Year | 2014 |
| DOI |
10.1016/j.aej.2014.04.008
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.