Prediction of Flow Resistance using Artificial Neural Network (ANN) in Natural Vegetated Channel
Naturally, vegetated channel has been developed for attenuating the flow in the drainage system. This is considered important as it will work as one of the effective ways to prevent high outflow velocity that could cause flooding and overtop of water at the outflow. The attenuated flow are as the re...
| Main Author: | Kamarudzaman, Nur Zahidah |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.17860 / |
| Published: |
IRC
2016
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/17860/1/1.%20Final%20Dissertation.pdf http://utpedia.utp.edu.my/17860/ |
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| Summary: |
Naturally, vegetated channel has been developed for attenuating the flow in the drainage system. This is considered important as it will work as one of the effective ways to prevent high outflow velocity that could cause flooding and overtop of water at the outflow. The attenuated flow are as the result of the flow-resistant that existed within the drainage system and is manually calculated using Manning’s Roughness Equation, where |
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