Investigating the Capability of HEC-RAS Model for Tsunami Simulation

  • Rifa Amaliah Parahyangan Catholic University
  • Bobby Minola Ginting Parahyangan Catholic University
Keywords: HEC-RAS 6.1, GUI, Shallow Water, Tsunami Modeling, Sensitivity


This study highlights the simulation of tsunami cases using HEC-RAS 6.1. The primary aim is to evaluate the capability of the software in performing tsunami simulation due to its standalone computational framework (pre-processing, execution, and post-processing stages), making the modeling process interactive. The model accuracy was tested against some benchmark cases of wave propagation, including analytical solutions, laboratory experiments, and field measurements. The results showed HEC-RAS was capable of modeling tsunami propagation. The maximum elevation and velocity magnitude were accurately computed for the analytical cases. Furthermore, sufficiently accurate results were obtained for the laboratory case, where the maximum elevation was properly computed. For the field cases, the wave arrival time and the fluctuations of water surface and velocity were appropriately calculated. The Root Mean Square Error values between the numerical results and the analytical/observed data were relatively low below 30%, with the Pearson Product Moment Correlation values ranging from 52–99%. In addition to its eminence, a drawback was found regarding the graphical user interface (GUI) of HEC-RAS for the input of boundary conditions. These findings will be beneficial for the coastal engineering community and the continuous development of HEC-RAS.



Adityawan, M. B. et al., 2021. Effect on land cover on tsunami overland flow propagation: A case study of Painan, West Sumatra, Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 11(5), pp. 1704-1712.

Aida, I., 1969. Numerical experiments for the tsunami propagation of the 1964 Niigata tsunami and 1968 Tokachi-Oki tsunami. Bulletin of Earthquake Research Institute: University of Tokyo, Volume 47, pp. 673-700.

Aida, I., 1974. Numerical computational of a tsunami based on a fault origin model of an earthquake. Journal of the Seismological Society of Japan, Volume 27, pp. 141-154.

Arcos, M. & LeVeque, R., 2014. Validating velocities in the GeoClaw tsunami model using observations near Hawaii from the 2011 Tohoku tsunami. Pure and Applied Geophysics, Volume 172, pp. 849-867.

Briggs, M., Synolakis, C., Harkins, G. & Green, D., 1995. Laboratory experiments of tsunami runup on a circular island. Pure and Applied Geophysics, Volume 144, pp. 569-593.

Brunner, G. W., 2021. HEC-RAS, River Analysis System Hydraulic Reference Manual. California: USACE.

Castro, M. et al., 2005. The numerical treatment of wet/dry fronts in shallow flows: applications to one-layer and two-layer systems. Mathematical and Computer Modelling, 42(3-4), pp. 419-439.

Casulli, V., 2009. A high-resolution wetting and drying algorithm for free-surface hydrodynamics. International Journal for Numerical Methods in Fluids, 60(4), pp. 391-408.

Coastal Engineering at University of Southern California (USC), 2015. NTHMP Mapping & Modeling Benchmarking Workshop: Tsunami Currents Benchmark problem. [Online]

Available at:

[Accessed 20 December 2021].

Costabile, P. et al., 2020. Performances of the New HEC-RAS Version 5 for 2-D Hydrodynamic-Based Rainfall-Runoff Simulations at Basin Scale: Comparison with a State-of-the Art Model. Water, 12(9), p. 2326.

Deltares, 2022. DELFT3D Website. [Online]

Available at:

[Accessed 6 August 2022].

Dias, F. & Dutykh, D., 2007. Dynamics of Tsunami Wave. In: Extreme Man-Made and Natural Hazards in Dynamics of Structures. s.l.:Springer, pp. 201-224.

George, D. L. & LeVeque, R. J., 2006. Finite volume methods and adaptive refinement for global tsunami propagation and local inundation. Science of Tsunami Hazards, Volume 24, pp. 319-328.

Ginting, B. M., 2011. Two dimensional flood propagation modeling generated by dam break using finite volume method, Bandung: Master theses, Bandung Institute of Technology.

Ginting, B. M. & Ginting, H., 2020. Extension of artificial viscosity technique for solving 2D non-hydrostatic shallow water equations. European Journal of Mechanics - B/Fluids, Volume 80, pp. 92-111.

Goto, C. & Ogawa, Y., 1982. Tsunami numerical simulation with Leapfrog scheme. p. 52 (in Japanese) ed. Tohoku: Tohoku University.

Hajihassanpour, M., Bonev, B. & Hesthaven, J. S., 2019. A Comparative Study oF Earthquake Source Models in High-Order Accurate Tsunami Simulations. Ocean Modelling, Volume 141, pp. 1-12.

Hou, J., Liang, Q., Zhang, H. & Hinkelmann, R., 2015. An efficient unstructured MUSCL scheme for solving the 2D shallow water equations. Environmental Modelling & Software, Volume 66, pp. 131-152.

Imamura, F., 1989. Tsunami numerical simulation with the staggered Leapfrog scheme (numerical code of TUNAMI-N1 and N2). Miyagi, Japan: Disaster Control Research Center, Tohoku University.

International Institute for Geo-Information Science and Earth Observation (ITC), 2005. Characteristics of tsunamis. [Online]

Available at:

[Accessed 2 February 2022].

Inundation Science & Engineering Cooperative (ISCE), 2004. The Third International Workshop onto Long-Wave Runup Model: Benchmark Problem #2. [Online]

Available at:

[Accessed 18 April 2022].

Kakinuma, T., 2008. 3D numerical simulation of tsunami runup onto a complex beach. Advanced Numerical Models for Simulating Tsunami Waves and Runup, pp. 255-260.

Kim, D.-H., Lynett, P. J. & Socolofsky, S. A., 2009. A depth-integrated model for weakly dispersive, turbulent, and rotational fluid flows. Ocean Modelling, 27(3-4), pp. 198-214.

Liu, P. L. F., Cho, Y. S., Yoon, S. B. & Seo, S. N., 1995. Numerical simulations of the 1960 Chilean tsunami propagation and inundation at Hilo, Hawaii. In: Y. Tsuchiya & N. Shuto, eds. Tsunami: Progress in Prediction, Disaster Prevention and Warning. Dordrecht: Springer, pp. 99-115.

Matsuyama, M. & Tanaka, H., 2001. An experimental study of the highest run-up height in 1993 Hokkaido Nansei-oki earthquake tsunami. Seattle, USA, Proceedings of the International Tsunami Symposium.

Meister, O., Rahnema, K. & Bader, M., 2016. Parallel memory-efficient adaptive mesh refinement on structured triangular meshes with billions of grid cells. ACM Transactions on Mathematical Software, 43(3), pp. 19:1-19:27.

Nicolsky, D., Suleimani, E. & Hansen, R., 2011. Validation and verification of a numerical model for tsunami propagation and runup. Pure and Applied Geophysics, Volume 168, pp. 1199-1222.

Oishi, Y., Imamura, F. & Sugawara, D., 2015. Near-field tsunami inundation forecast using the parallel TUNAMI-N2 model: Application to the 2011 Tohoku-Oki earthquake combined with source inversions. Geophysical Research Letters, 42(4), pp. 1083-1091.

Prasetyo, A., Yasuda, T., Miyashita, T. & Mori, N., 2019. Physical Modeling and Numerical Analysis of Tsunami Inundation in a Coastal City. Frontiers in Built Environment, 5(46), pp. 1-19.

Roeber, V. & Cheung, K. F., 2012. Boussinesq-type model for energetic breaking waves in fringing reef environment. Coastal Engineering, Volume 70, pp. 1-20.

Sannikova, N. K., Segur, H. & Arcas, D., 2021. Influence of Tsunami Aspect Ratio on Near and Far-Field Tsunami Amplitude. Geosciences, Volume 11, pp. 1-11.

Sehili, A., Lang, G. & Lippert, C., 2014. High-resolution subgrid models: background, grid generation, and implementation. Ocean Dynamics, 64(4), pp. 519-535.

Shi, F. et al., 2012. A high-order adaptive time-stepping TVD solver for Boussinesq modeling of breaking waves and coastal inundation. Ocean Modelling, Volume 43-44, pp. 36-51.

Shustikova, I. et al., 2019. Comparing 2D capabilities of HEC-RAS and LISFLOODFP on complex topography. Hydrological Sciences Journal, 64(14), pp. 1769-1782.

Shuto, N., Goto, C. & Imamura, F., 1990. Numerical simulation as a means of warning for near field tsunamis. Coastal Engineering in Japan, 33(2), pp. 173-193.

Thomas, T. J. & Dwarakish, G., 2015. Numerical wave modelling - A review. Aquatic Procedia, Volume 4, pp. 443-448.

Titov, V. V. & Synolakis, C. E., 1996. Numerical modeling of 3-D long wave runup using VTCS-3. In: P. Liu, H. Yeh & C. Synolakis, eds. Long Wave Runup Models. Singapore: World Scientific Publishing Co. Pte. Ltd., pp. 242-248.

Tolkova, E., 2014. Land–water boundary treatment for a tsunami model with dimensional splitting. Pure and Applied Geophysic, 171(9), pp. 2289-2314.

Wei, Y. et al., 2008. Real-time experimental forecast of the Peruvian tsunami of August 2007 for U.S. coastlines. Geophysical Research Letters, 35(4), pp. 1-7.

Zhang, Y. J. & Baptista, A. M., 2008. An efficient and robust tsunami model on unstructured grids. Part I: Inundation benchmarks. Pure and Applied Geophysics, Volume 165, pp. 2229-2248.

How to Cite
Amaliah, R., & Ginting, B. M. (2023). Investigating the Capability of HEC-RAS Model for Tsunami Simulation. Journal of the Civil Engineering Forum, 9(2), 161-180.