The Implementation of Combined Roughness and Reflected Model (CRRM) in Tsunami Run-up Simulation through Coastal Vegetation
Benazir Benazir(1*), Radianta Triatmadja(2), Adam Pamudji Rahardjo(3), Nur Yuwono(4)
(1) Doctoral Student at Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(2) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(3) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(4) Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, INDONESIA
(*) Corresponding Author
Abstract
Hydraulics resistance is commonly used to simulate or replace drag and inertia forces due to vegetation when modeling tsunami run-up. A new numerical method was proposed which was named Combined Roughness and Reflected Model (CRRM). This method accommodates the reflection process of tsunami flow by tree surfaces. A series of experimental work was performed in laboratory to verify the numerical results. The physical process of laboratory work was discussed to explain the interaction between tsunami and vegetation models. The relation of some notable parameters was reviewed for both models. The physical model verified that the deviations between the physical and the numerical model were below 20%. With such numerical method, more challenging forest layout such as zigzag arrangement can be studied more accurately. It is concluded that the zigzag arrangement of trees layout and higher density of trees were capable of reducing tsunami run-up on land significantly.
Keywords
Full Text:
PDFReferences
Benazir, Triatmadja, R., Rahardjo, A. P. & Yuwono, N., 2016. Studi Interaksi Gelombang Tsunami terhadap Struktur Mitigasi dan Pengaruhnya dalam Pembentukan Run-Up di Daratan Pantai. Semarang, Pertemuan Ilmiah Tahunan (PIT) HATHI XXXIII, 25-27 November, pp. 525-534.
Benazir, Triatmadja, R., Rahardjo, A. P. & Yuwono, N., 2017. Comparison of Methods for Simulating Tsunami Run-up Through Coastal Forests. Science of Tsunami Hazards, 36(3), pp. 167-182.
Benazir, Triatmadja, R., Rahardjo, A. P. & Yuwono, N., 2018. The Behavior of Tsunami-like Waveform using Dam Break Method and Its Run-up on 1:20 Gradual Slope. Science of Tsunami Hazards (under review).
Chow, V. T., 1959. Open Channel Hydraulics. New York: McGraw-Hill.
Dahdough-Guebas, F. et al., 2005. How Effective were Mangroves as a Defence against the Recent Tsunami. Current Biology, 15(12), pp. R443-447.
Danielsen, F. et al., 2005. The Asian Tsunami: A Protective Role for Coastal Vegetation. Science, 310, p. 643.
EJF, 2006. Mangroves: Nature's Defence against Tsunamis - A Report on the Impact of Mangrove Loss and Shrimp Farm Development on Coastal Defences, London, UK: Environmental Justice Foundation.
Fernando, H. J. S. et al., 2008. Effects of Porous Barriers such as Coral Reefs on Coastal Wave Propagation. Hydro-environment Research, 1, pp. 187-194.
Forbes, K. & Broadhead, J., 2007. The Role of Coastal Forest in the Mitigation of Tsunami Impact. Bangkok: Food and Agriculture Organization of the United Nations.
Goto, C., Ogawa, Y., Shuto, N. & Imamura, F., 1997. Numerical Method of Tsunami Simulation with Leap-Frog Scheme, IOC Manual: IUGG/IOC Time Project, UNESCO.
Harada, K. & Imamura, F., 2005. Effects of Coastal Forest on tsunami Hazard Mitigation - A Preliminary Investigation. In: Tsunamis, Case Studies and Recent Developments. Netherland: Springer, pp. 279-292.
Harada, K. & Kawata, Y., 2004. Study on the Effect of Coastal Forest to Tsunami Reduction. Annuals of Disas. Prev. Res. Inst., Kyoto Univ., Issue 47 C.
Harada, K. & Kawata, Y., 2005. Study on Tsunami Reduction Effect of Coastal Forest due to Forest Growth. Annuals of Disaster Prevention Research Institute, Kyoto Universty, Issue 48C.
Hiraishi, T. & Harada, K., 2003. Greenbelt Tsunami Prevention in South-Pacific Region. Report of the Port and Airport Research Institute, 42(2).
Huang, Z., Yao, Y., Sim, S. Y. & Yao, Y., 2011. Interaction od Solitary Waves with Emergent, Rigid Vegetation. Ocean Engineering, 38, pp. 1080-1088.
Husrin, S. & Oumeraci, H., 2009. Parameterization of Coastal Forest Vegetation and Hydraulic Resistance Coefficients for Tsunami Modelling. Banda Aceh, 4th Annual International Workshop & Expo on Sumatra Tsunami Disaster & Recovery 2009.
Iimura, K. & Tanaka, N., 2012. Numerical Simulation Estimating Effects of Tree Density Distribution in Coastal Forest on Tsunami Mitigation. Ocean Engineering, 54, pp. 223-232.
Imamura, F., Yalciner, A. C. & Ozyurt, G., 2006. Tsunami Modelling Manual (TUNAMI Model). Sendai: Disaster Control Research Center, Tohoku University.
Irtem, E., Gedik, N., Kabdasli, M. S. & Yasa, N. E., 2009. Coastal Forest Effects on Tsunami Run-up Heights. Ocean Engineering, 36, pp. 313-320.
Kathiresan, K. & Rajendran, N., 2005. Coastal Mangrove Forests Mitigated Tsunami. Estuarine, Coastal and Shelf Science, 65, pp. 601-606.
Maza, M., Lara, J. L. & Losada, I. J., 2015. Tsunami Wave Interaction with Mangrove Forest; a 3-D Numerical Approach. Coastal Engineering, 98, pp. 33-54.
Mazda, Y., Magi, M., Kogo, M. & Hong, P. N., 1997. Mangroves as a Coastal Protection from Waves in the Tong King Delta, Vietnam. Mangroves and Salt Marshes, 1, pp. 127-135.
Ohira, W., Honda, K. & Harada, K., 2012. Reduction of Tsunami Inundation by Coastal Forests in Yogyakarta, Indonesia: a Numerical Study. Natural Hazards and Earth System Sciences, 12, pp. 85-95.
Shuto, N., 1987. The Effectiveness and Limit of Tsunami Control Forests. Coastal Engineering in Japan, 30, pp. 143-153.
Synolakis, C. E. et al., 2007. Standards, Criteria, and Procedures for NOAA Evaluation of Tsunami Numerical Models, Washington: NOAA OAR Special Report-NOAA Technical Memorandum OAR PMEL-135.
Teh, S. Y. et al., 2009. Analytical and Numerical Simulation of Tsunami Mitigation by Mangrove in Penang, Malaysia. Journal o Asian Earth Sciences, 36, pp. 38-46.
Thuy, N. B., Tanimoto, K., Tanaka, N. & Iimura, K., 2009. Effect of Open Gap in Coastal Forest on Tsunami Run-up—Investigations by Experiment and Numerical Simulation. Ocean Engineering, 36, pp. 1258-1269.
DOI: https://doi.org/10.22146/jcef.36857
Article Metrics
Abstract views : 2024 | views : 2142Refbacks
- There are currently no refbacks.
Copyright (c) 2022 The Author(s)
The content of this website is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
ISSN 5249-5925 (online) | ISSN 2581-1037 (print)
Jl. Grafika No.2 Kampus UGM, Yogyakarta 55281
Email : jcef.ft@ugm.ac.id
JCEF Stats