Two-Dimensional Hydrodynamic Modelling of Flood Inundation for a Part of the Mekong River with TELEMAC-2D
Tung T. Vu, Phuoc K. T. Nguyen, Lloyd H. C. Chua, Adrian W. K. Law
International Journal of Environment and Climate Change · pp. 162–175 · Published 5 Jun 2015
10.9734/BJECC/2015/12885Abstract
Aims: This paper presents a study on the development of a 2-dimensional (2D) hydrodynamic model based on TELEMAC-2D for the flood simulation of the river from Kratie to Kampong Cham in Cambodia, a part of the Mekong River. The motivation behind the research was to study the feasibility of TELEMAC-2D in flood forecasting, and specifically to determine its adequacy in flood simulations with a focus on the reduction in model run-time through parallelization. Place and Duration of Study: DHI-NTU Centre, Nanyang Environment and Water Research Institute (NEWRI), Nanyang Technological University, between November 2013 and March 2014. Methodology: We simulated an actual flood event which occurred between June to November in 2001 for the stretch of the Mekong River from Kratie to Kampong Cham and compared the model simulations with MODIS satellite Images for specific days in the pre-, peak- and post-flood period. Results: It was found that during the peak-flood period, there was high percentage (> 90%) match between the simulation results and observation obtained from satellite images while the match was below 50% for the pre- and post- flood periods. Conclusion: The 2D simulation results were consistent with observations from satellite imaging. The discrepancy at pre- and post-flood may be due to the fact that (i) the model takes into account only hydrodynamic processes of flows in the river and flood plain, it does not consider other hydrological processes such as infiltration or evaporation which may be important during the pre- and post- flood periods, and (ii) the resolution of MODIS satellite image at 500m x 500m may be too coarse and therefore not sufficient to identify flooded areas when the area is small or water depth low. Finally, it was found that the computing time can be reduced significantly with parallelization using multi-core processors, albeit with lesser advantage in speedup when the number of cores increased beyond 4.
References (9)
- 1 The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features [DOI]
- 2 NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space [DOI]
- 3 Hydrodynamics of Free Surface Flows: Modelling with the Finite Element Method
- 4 Water balance analysis for the Tonle Sap Lake–floodplain system [DOI]
- 5 A high resolution 2-D dam-break model using parallelization [DOI]
- 6 Pinpointing the sources and measuring the lengths of the principal rivers of the world [DOI]
- 7 Early warning and flood forecasting for large rivers with the lower Mekong as example [DOI]
- 8 INTERNAL AND EXTERNAL VALIDATION OF A TWO-DIMENSIONAL FINITE ELEMENT CODE FOR RIVER FLOOD SIMULATIONS. [DOI]
- 9 SCALE: A hybrid MPI and multithreading based work stealing approach for massive contingency analysis in power systems [DOI]
Cited by 40
Pingping Zhou, Hao Zheng, Qianqian Wang · Ecological Engineering: The Journal of Ecotechnology · 2026
Karina Soto-Rivas, R. Flores · Journal of Hydrology: Regional Studies · 2026
Kazi Ashik Islam, Zakaria Mehrab, M. Halappanavar · SIGSPATIAL/GIS · 2025
Lin Yan, Lihong Zhang, Wei-Chao Yang · Water · 2025
Kazi Ashik Islam, Zakaria Mehrab, M. Halappanavar · AAAI Conference on Artificial Intelligence · 2025
Saber Hammami, H. Romdhane, Amel Soualmia · International Journal of Engineering Research in Africa · 2024
S. Baldan, P. Minderhoud, R. Xotta · Earth Surface Processes and Landforms · 2024
Tomás León, A. Wuppukondur, G. Easton · Applied Ocean Research · 2024
Rafia Belhajjam, Abdelaziz Chaqdid, N. Yebari · Journal of Hydrology · 2024
Nitesh Godara, O. Bruland, Knut Alfredsen · Frontiers in Water · 2024
Showing 28 of 40 known citations — external sources report more than can currently be individually listed.
Article metrics
Real usage data collected on this platform.
134
Page views
0
PDF downloads
29
Outbound clicks
40
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.