HYDRODYNAMIC MODELLING OF A PROPOSED LEBIR AND GALAS DAM FOR FLOOD HAZARD ANALYSIS
DOI:
https://doi.org/10.11113/mjce.v28.16010Keywords:
Structural approach, flood event, hydrodynamic modelling, proposed dams, flood hazard mapAbstract
A massive flood event, which hit Kelantan in 2014, has contributed a major destruction particularly at Kuala Krai district. An alternative approach to overcome this flood episode is by constructing dams. In this study, two dams proposed at the upstream of Galas and Lebir river, near Kuala Krai. This paper aims to assess the implementation of the proposed dams which is a structural approach at the upstream area to reduce flood hazard in Kelantan using a hydrodynamic model. A coupled of 1D and 2D hydrodynamic model have been tested to simulate the occurrence of flood events in Kelantan due to the proposed dams. The Digital Terrain Model (DTM) has been generated by combining the data sources; i.e. from Airborne LiDAR and SRTM. The design of proposed dams were defined based on 50 years flood characteristics proposed by UPEN and simulated into the DTM with different magnitudes of flood. The flow hydrograph and water level for 25, 100 and 200-year return period are generated as input data for initial and boundary conditions. River cross-sections and hydrodynamic roughness value of Kelantan catchment area are also used in the model. The flood that has been observed is focused on Kuala Krai area before and after the construction of the proposed dams. The results of maximum velocity and water depth from the hydrodynamic modelling results are then generated to produce flood impulse and flood hazard maps. The results obtained from the preliminary study of the hydrodynamic modelling at Kuala Krai after the development of the proposed dams showed that no flood occurred at the downstream based on the streamflow input consideration.References
Azlee, A. (2015). Worst floods in Kelantan, confirms NSC, Malaymail Online. Retrieved
November 15, 2015 from http://www.themalaymailonline.com/ malaysia/article/worstfloods-in-kelantan-confirms-nsc
Chow, V. T. (1959). Open-channel hydraulics. New York: McGraw-Hill.,728 pp.
DID (2012) Department of Irrigation and Drainage Malaysia, The Official Portal for Department
of Irrigation and Drainage Malaysia. Flood Management - Programme and Activities - Flood
Management in Malaysia. Retrieved November 16, 2015, from
Ghani, A. A., Chang, C. K., Leow, C. S., and Zakaria, N. A. (2012). Sungai Pahang Digital Flood
Mapping: 2007 Flood. International Journal of River Basin Management, 10(2):139-148.
Hossain, A. K. M. A., Jia, Y., and Chao, X. (2009). Estimation of Manning's roughness
coefficient distribution for hydrodynamic model using remotely sensed land cover features.
Proceedings 17th International Conference of Geoinformatics, George Mason University,
Fairfax, Virginia, United States of America.
Jeb, M. D. N., and Aggarwal, D. S. P. (2008). Flood Inundation Hazard Modelling of the River
Kaduna Using Remote Sensing and Geographic Information Systems. Journal of Applied
Sciences Research, 4(12): 1822-1833.
Mujere, N. (2011). Flood Frequency Analysis Using the Gumbel Distribution. International
Journal on Computer Science and Engineering (IJCSE), 3(7): 2774-2778.
Popescu, I., Jonoski, A., Van Andel, S. J., Onyari, E., and Moya Quiroga, V. G. (2010).
Integrated modelling for flood risk mitigation in Romania: case study of the Timis–Bega
river basin. International Journal of River Basin Management, 8(3-4): 269-280.
Rahman, M. Z. B. A. (2006). Digital Surface Model (DSM) Construction and Flood Hazard
Simulation for Development Plans in Naga City, Philippines. Master Thesis, International
Institute for Geo-Information Science and Earth Observation Enschede, The Netherlands,
pp.
Ramsbottom D, Wade S, Bain V, Floyd P, Penning-Rowsell E, Wilson T, Fernandez A, House M
and Surendran S. (2006). R&D Outputs: Flood Risks to People: Phase 2 FD2321/TR2,
Department for Environment Food and Rural Affairs.
Ruji, E. M. (2007). Floodplain Inundation Simulation Using 2D Hydrodynamic Modelling
Approach. Master Thesis, International Institute for Geo-Information Science and Earth
Observation Enschede, TheNetherland, 57 pp.
Salami A.W., Mohammed A.A. & Okeola O.G. (2014) “Evaluation of Climate Change Impact on
Runoff in The Kainji Lake Basin Using Artificial Neural Network Model (ANN)â€,
Malaysian Journal of Civil Engineering, 26(1) pp. 35-50
UPEN (1989), Laporan Kajian Tebatan Banjir Menyeluruh Bagi Kawasan Limbangan Sungai
Kelantan (DrafLaporanAkhir). Unit Perancang Ekonomi Negeri, Pejabat Setiausaha
Kerajaan Negeri Kelantan, Kota Bharu, Kelantan, 39.
Usamah, M. B. (2005). Modelling Flood Events in the Lower Bicol Flood Plain. Master Thesis,
International Institute for Geo-Information Science and Earth Observation, The Netherlands,
pp.