Study on vegetation flow along Kinta River by using LABSWE�
Turbidity is considered a classical problem in Malaysian rivers. The level of turbidity is dependent on the amount of sediments and biological matter contained in the water. Therefore, this study proposes an approach to turbidity mitigation that involves simulating the effect of density and diameter...
| Main Authors: | Shafiai, S.H., Gohari, A., Liu, H., Siang, C.Y., Chia, H.Y. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23147 / |
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Elsevier B.V.
2020
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083399800&doi=10.1016%2fj.aej.2020.03.026&partnerID=40&md5=210b73ffbc577ef980f3b9404240a5f8 http://eprints.utp.edu.my/23147/ |
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utp-eprints.231472021-08-19T06:10:35Z Study on vegetation flow along Kinta River by using LABSWE� Shafiai, S.H. Gohari, A. Liu, H. Siang, C.Y. Chia, H.Y. Turbidity is considered a classical problem in Malaysian rivers. The level of turbidity is dependent on the amount of sediments and biological matter contained in the water. Therefore, this study proposes an approach to turbidity mitigation that involves simulating the effect of density and diameter of vegetation on water flow. This paper presents the numerical modelling of vegetation effect on water flow using Lattice Boltzmann Method for Shallow Water Equations (LABSWE�) integrated with Rigid Vegetation Modelling (RVM). The proposed model was implemented on the Kinta River in Perak state, Malaysia as a case study. The simulation results show the effect of density and diameter of vegetation on water flow velocity. The optimum vegetation density and vegetation diameter values for river water turbidity reduction were found to be 0.05 and 0.005, respectively. © 2020 Faculty of Engineering, Alexandria University Elsevier B.V. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083399800&doi=10.1016%2fj.aej.2020.03.026&partnerID=40&md5=210b73ffbc577ef980f3b9404240a5f8 Shafiai, S.H. and Gohari, A. and Liu, H. and Siang, C.Y. and Chia, H.Y. (2020) Study on vegetation flow along Kinta River by using LABSWE�. Alexandria Engineering Journal, 59 (2). pp. 1027-1035. http://eprints.utp.edu.my/23147/ |
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UTP Institutional Repository |
| description |
Turbidity is considered a classical problem in Malaysian rivers. The level of turbidity is dependent on the amount of sediments and biological matter contained in the water. Therefore, this study proposes an approach to turbidity mitigation that involves simulating the effect of density and diameter of vegetation on water flow. This paper presents the numerical modelling of vegetation effect on water flow using Lattice Boltzmann Method for Shallow Water Equations (LABSWE�) integrated with Rigid Vegetation Modelling (RVM). The proposed model was implemented on the Kinta River in Perak state, Malaysia as a case study. The simulation results show the effect of density and diameter of vegetation on water flow velocity. The optimum vegetation density and vegetation diameter values for river water turbidity reduction were found to be 0.05 and 0.005, respectively. © 2020 Faculty of Engineering, Alexandria University |
| format |
Article |
| author |
Shafiai, S.H. Gohari, A. Liu, H. Siang, C.Y. Chia, H.Y. |
| spellingShingle |
Shafiai, S.H. Gohari, A. Liu, H. Siang, C.Y. Chia, H.Y. Study on vegetation flow along Kinta River by using LABSWE� |
| author_sort |
Shafiai, S.H. |
| title |
Study on vegetation flow along Kinta River by using LABSWE� |
| title_short |
Study on vegetation flow along Kinta River by using LABSWE� |
| title_full |
Study on vegetation flow along Kinta River by using LABSWE� |
| title_fullStr |
Study on vegetation flow along Kinta River by using LABSWE� |
| title_full_unstemmed |
Study on vegetation flow along Kinta River by using LABSWE� |
| title_sort |
study on vegetation flow along kinta river by using labswe� |
| publisher |
Elsevier B.V. |
| publishDate |
2020 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083399800&doi=10.1016%2fj.aej.2020.03.026&partnerID=40&md5=210b73ffbc577ef980f3b9404240a5f8 http://eprints.utp.edu.my/23147/ |
| _version_ |
1741196628838055936 |
| score |
11.62408 |