Tsunami Mitigation Strategy at Watu Ulo Beach Based on Numerical Modeling Using Delft3D-Flow
DOI:
https://doi.org/10.30737/ukarst.v6i2.2959Keywords:
Delft3D, Inundation, Numerical Modeling, Tsunami, Watu Ulo BeachAbstract
The coastal area of Watu Ulo Beach in Jember has great resource potential but also the potential for major disasters, such as a tsunami. Tsunamis can cause casualties and destroy buildings. Thus, it is important to assess the possibility of future tsunami disasters. This study aims to simulate a tsunami at Watu Ulo Beach using Delft3D-Flow to analyze the possibility of affected areas. The tsunami modeling is based on two simulations, namely Scenario 1 as model validation using the characteristics of the 1994 Banyuwangi earthquake. Model validation calculation uses the MAPE method <10%. Scenario 2, modeling the southern Java megathrust earthquake, was analyzed to obtain the time and wave height as well as tsunami run-up and inundation, visualizing the area affected by Watu Ulo Beach. The simulation results show that the tsunami wave height at Watu Ulo Beach reached 12.57 m with a travel time of 29 minutes. The run-up elevation was 9.21 m, and the inundation distance was 2.38 km from the Watu Ulo coastline, indicating that the tsunami caused substantial damage. As an area affected by the tsunami, Sumberejo Village has an inundation area of 634.68 ha, and Sabrang Village has an area of 250.03 ha. The temporary evacuation location for Watu Ulo Beach is set at Tanjung Papuma Street via the shortest route of 0.57 km from the assembly point. Based on the results of this study can be used as a reference for determining temporary evacuation routes and locations for tsunami disaster mitigation in coastal areas.
References
T. P. Robustin, “Attraction and Word Of Mouth In A Visit Decision,†J. Ilmu Manaj. Advant., vol. 4, no. 1, pp. 24–31, Jun. 2020, doi: https://doi.org/10.30741/adv.v4i1.604.
D. P. Samjaya, K. Swastika, and M. Na’im, “The Dynamics of Social Economic in Object Tourism in Ulo Sumberejo Jember Regency in 2003-2015,†J. Hist., vol. 1, no. 1, pp. 16–25, 2018.
A. D. Wicaksono, E. Hidayah, and R. U. A. Wiyono, “Flood Vulnerability Assessment of Kali Welang Floodplain by Using AHP-Based Methods,†UKaRsT, vol. 5, no. 1, p. 80, Apr. 2021, doi: https://doi.org/10.30737/ukarst.v5i1.1370.
R. Triyono et al., Katalog Tsunami Indonesia Tahun 416-2018. Jakarta: BMKG, 2019.
Y. Xia et al., “Marine forearc structure of eastern Java and its role in the 1994 Java tsunami earthquake,†Solid Earth, vol. 12, no. 11, pp. 2467–2477, Nov. 2021, doi: https://doi.org/10.5194/se-12-2467-2021.
A. Maramai and S. Tinti, “The 3 June 1994 Java Tsunami: A Post-Event Survey of The Coastal Effects,†Nat. Hazards, vol. 15, no. 1, pp. 31–49, 1997, doi: https://doi.org/10.1023/A:1007957224367.
I. E. Mulia, A. R. Gusman, A. L. Williamson, and K. Satake, “An Optimized Array Configuration of Tsunami Observation Network Off Southern Java, Indonesia,†J. Geophys. Res. Solid Earth, vol. 124, no. 9, pp. 9622–9637, Sep. 2019, doi: https://doi.org/10.1029/2019JB017600.
L. Y. Irawan et al., “Assessing community coping capacity in face of tsunami disaster risk (case study: sumberagung coastal area, banyuwangi, east java),†in IOP Conference Series: Earth and Environmental Science, Mar. 2021, vol. 683, no. 1, p. 012085, doi: https://doi.org/10.1088/1755-1315/683/1/012085.
B. R. Röbke, T. Leijnse, G. Winter, M. van Ormondt, J. van Nieuwkoop, and R. de Graaff, “Rapid Assessment of Tsunami Offshore Propagation and Inundation with D-FLOW Flexible Mesh and SFINCS for the 2011 TÅhoku Tsunami in Japan,†J. Mar. Sci. Eng., vol. 9, no. 5, p. 453, Apr. 2021, doi: https://doi.org/10.3390/jmse9050453.
T. Baracchini et al., “Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4,†Geosci. Model Dev., vol. 13, no. 3, pp. 1267–1284, Mar. 2020, doi: https://doi.org/10.5194/gmd-13-1267-2020.
Deltares, “3D/2D Modelling Suite For Integral Water Solutions: RFGRID,†Deltares, The Netherlands, 2021.
B. Fakhruddin, K. Kintada, and L. Tilley, “Probabilistic Tsunami Hazard and Exposure Assessment for the Pacific Islands- Fiji,†Int. J. Disaster Risk Reduct., vol. 64, p. 102458, Oct. 2021, doi: https://doi.org/10.1016/j.ijdrr.2021.102458.
S. Widiyantoro et al., “Implications for Megathrust Earthquakes and Tsunamis from Seismic Gaps South of Java Indonesia,†Sci. Rep., vol. 10, no. 1, p. 15274, Dec. 2020, doi: https://doi.org/10.1038/s41598-020-72142-z.
W. A. Pratama, “Simulasi Penjalaran Gelombang Tsunami Akibat Gempa Tektonik di Pantai Jember,†Institut Teknologi Sepuluh Nopember, 2017.
R. D. E. Rikarda, R. U. A. Wiyono, G. Halik, E. Hidayah, and M. B. Pratama, “Tsunami Simulation in Puger Beach Considering The Combination of Earthquake Source in South Java,†in AIP Conference Proceedings, 2020, vol. 2278, no. 1, p. 020037, doi: https://doi.org/10.1063/5.0014684.
O. B. Fringer, C. N. Dawson, R. He, D. K. Ralston, and Y. J. Zhang, “The future of coastal and estuarine modeling: Findings from a workshop,†Ocean Model., vol. 143, no. April, p. 101458, Nov. 2019, doi: https://doi.org/10.1016/j.ocemod.2019.101458.
S. Damarnegara, R. P. Ali, and M. B. Ansori, “Transcritical Flow Simulation Using Shallow Water Equation Model,†J. Civ. Eng., vol. 34, no. 2, p. 55, Dec. 2019, doi: https://doi.org/10.12962/j20861206.v34i2.6468.
R. Das, M. Sharma, D. Choudhury, and G. Gonzalez, “A Seismic Moment Magnitude Scale,†Bull. Seismol. Soc. Am., vol. 109, no. 4, pp. 1542–1555, Jul. 2019, doi: https://doi.org/10.1785/0120180338.
A. A. Eluyemi, S. Baruah, and S. Baruah, “Empirical Relationships of Earthquake Magnitude Scales and Estimation of Guttenberg–Richter Parameters in Gulf of Guinea Region,†Sci. African, vol. 6, p. e00161, Nov. 2019, doi: https://doi.org/10.1016/j.sciaf.2019.e00161.
K. D. Morell, R. Styron, M. Stirling, J. Griffin, R. Archuleta, and T. Onur, “Seismic Hazard Analyses From Geologic and Geomorphic Data: Current and Future Challenges,†Tectonics, vol. 39, no. 10, pp. 1–47, Oct. 2020, doi: https://doi.org/10.1029/2018TC005365.
T. Prastowo, G. P. Ayudia, and H. Risanti, “Magnitude-Rupture Area Scaling Derived From Global Earthquakes Of Moderate To Large Sizes: Implications For Seismic Hazards In Indonesia,†Bull. Geol. Soc. Malaysia, vol. 73, no. 1, pp. 1–12, May 2022, doi: https://doi.org/10.7186/bgsm73202201.
D. L. Wells and K. J. Coppersmith, “New Empirical Relationships among Magnitude , Rupture Length , Rupture Width , Rupture Area , and Surface Displacement,†Bull. Seismol. Soc. Am., vol. 84, no. 4, pp. 974–1002, 1994, doi: https://doi.org/10.1785/BSSA0840040974.
T. Guo, W. He, Z. Jiang, X. Chu, R. Malekian, and Z. Li, “An Improved LSSVM Model for Intelligent Prediction of the Daily Water Level,†Energies, vol. 12, no. 1, p. 112, Dec. 2018, doi: https://doi.org/10.3390/en12010112.
C. Lewis, Demand Forecasting and Inventory Control. Routledge, 2012.
BMKG and BPBD, “Laporan Awal Verifikasi Lapangan TES/TEA Serta Jalur Evakuasi Tsunami di Pantai Selatan Jember,†Malang, 2021.
Deltares, “3D/2D Modelling Suite For Integral Water Solutions: Hydro-Morphodynamics,†Deltares, The Netherlands, 2021.
Downloads
Additional Files
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
(1) The copyright of published articles will be transferred to the journal as the publisher of the manuscript. Therefore, the author needs to confirm that the copyright has been managed by the publisher with the Publication Right Form which must be attached when submitting the article.
(2) Publisher of U Karst is Kadiri University.
(3) The copyright follows Creative Commons Attribution-ShareAlike License (CC BY SA): This license allows to Share copy and redistribute the material in any medium or format, Adapt remix, transform, and build upon the material, for any purpose, even commercially.