Abstract
A stage-discharge rating curve represents the relationship between the water level at a given point in a stream and a corresponding volumetric rate of flow. It is widely used for the analysis of flow regimes, designing hydraulic structures, flood forecasting, flow-sediment interaction and prediction, and river channel analysis. The reliability and stability of the stage-discharge rating curve are based on numerous numbers of discharges and stage data from the lowest to the highest bank full stage observed over a long period of time. Stage-discharge rating curves contribute to reliable discharge prediction for future flood forecasting. This study focuses on the best-practice approach to stage-discharge rating curve development for selected rivers in Selangor. The stage-discharge rating curve derived was evaluated in terms of the statistical parameter, which denotes the degree of determination or r-squared value. The polynomial function yields better accuracy at 68.6% than the exponential function at 60.3%. Model validation was performed using the discrepancy ratio and confirmed that the stage-discharge rating curve developed using both mathematical functions give good predictions with more than 80% accuracy for the specified flow range and stage levels.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Saadon, Azlinda azindasaadon@uitm.edu.my Abdul Manaf, Nur Anim UNSPECIFIED Tholibon, Duratul Ain duratulain@uitm.edu.my Ahmad Kamal, Norashikin UNSPECIFIED Yassin, Ahmad Ihsan UNSPECIFIED |
Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering |
Divisions: | Universiti Teknologi MARA, Shah Alam > College of Engineering |
Journal or Publication Title: | Journal of Sustainable Civil Engineering & Technology (JSCET) |
UiTM Journal Collections: | Listed > Journal of Sustainable Civil Engineering and Technology (JSCET) |
ISSN: | 2948-4294 |
Volume: | 2 |
Number: | 2 |
Page Range: | pp. 49-64 |
Keywords: | Stage-discharge relations, rating curve, rating table |
Date: | September 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/85642 |