VALIDATION OF TSUNAMI INUNDATION MODELING FOR THE 2004 SUMATRA-ANDAMAN EARTHQUAKE FOR MAKING HAZARD MAPS IN PENANG AND LANGKAWI, MALAYSIA

Similar documents
NUMERICAL SIMULATION OF TSUNAMI PROPAGATION AND INUNDATION ALONG THE RAKHINE COAST AREAS IN MYANMAR

NUMERICAL SIMULATION AS GUIDANCE IN MAKING TSUNAMI HAZARD MAP FOR LABUAN ISLAND

TSUNAMI HAZARD ASSESSMENT IN NORTHERN EGYPT USING NUMERICAL SIMULATION

TSUNAMI PROPAGATION AND INUNDATION MODELINGS ALONG SOUTH-EAST COAST OF PAPUA NEW GUINEA

NUMERICAL SIMULATIONS FOR TSUNAMI FORECASTING AT PADANG CITY USING OFFSHORE TSUNAMI SENSORS

SOURCE INVERSION AND INUNDATION MODELING TECHNOLOGIES FOR TSUNAMI HAZARD ASSESSMENT, CASE STUDY: 2001 PERU TSUNAMI

DETERMINATION OF SLIP DISTRIBUTION OF THE 28 MARCH 2005 NIAS EARTHQUAKE USING JOINT INVERSION OF TSUNAMI WAVEFORM AND GPS DATA

TSUNAMI HAZARD ASSESSMENT FOR THE CENTRAL COAST OF PERU USING NUMERICAL SIMULATIONS FOR THE 1974, 1966 AND 1746 EARTHQUAKES

STUDY ON APPROPRIATE MODELING OF TSUNAMIS IN MALAYSIA FOR RISK EVALUATION

TSUNAMI CHARACTERISTICS OF OUTER-RISE EARTHQUAKES ALONG THE PACIFIC COAST OF NICARAGUA - A CASE STUDY FOR THE 2016 NICARAGUA EVENT-

A PROTOTYPE OF WEB-APPLICATION FOR TSUNAMI DATABASE ALONG SOUTHERN JAVA ISLAND COASTLINE

Source of the July 2006 West Java tsunami estimated from tide gauge records

SIMULATION OF FUTURE ANDAMAN TSUNAMI INTO STRAITS OF MALACCA BY TUNA

Tsunami waveform inversion of the 2007 Bengkulu, southern Sumatra, earthquake

Tsunami Simulation of 2009 Dusky Sound Earthquake in New Zealand

REAL-TIME TSUNAMI INUNDATION FORECAST FOR THE PACIFIC COAST OF NICARAGUA

Modeling of the 2011 Tohoku-oki. oki Tsunami and it s s impacts to Hawaii

REAL-TIME TSUNAMI INUNDATION FORECAST STUDY IN CHIMBOTE CITY, PERU

Effect of the Emperor seamounts on trans-oceanic propagation of the 2006 Kuril Island earthquake tsunami

Inversion of tsunami data. A. Sladen CNRS, Géoazur 1/35

Numerical Tsunami Propagation of 1703 Kanto Earthquake

Scaling relations of seismic moment, rupture area, average slip, and asperity size for M~9 subduction-zone earthquakes

TSUNAMI PROPAGATION IN ARABIAN SEA AND ITS EFFECT ON DWARKA CITY OF GUJARAT, INDIA

On the open sea propagation of 2004 global tsunami generated by the sea bed deformation

Lessons from the 2004 Sumatra earthquake and the Asian tsunami

1.3 Short Review: Preliminary results and observations of the December 2004 Great Sumatra Earthquake Kenji Hirata

EARTHQUAKE SOURCE PARAMETERS FOR SUBDUCTION ZONE EVENTS CAUSING TSUNAMIS IN AND AROUND THE PHILIPPINES

Method to Determine Appropriate Source Models of Large Earthquakes Including Tsunami Earthquakes for Tsunami Early Warning in Central America

Riskscape module Documentation: Inundation Modelling in Bay of Plenty. X. Wang C. Mueller

Three Dimensional Simulations of Tsunami Generation and Propagation

Differentiating earthquake tsunamis from other sources; how do we tell the difference?

SCIENCE OF TSUNAMI HAZARDS

Amplification of Tsunami Heights by Delayed Rupture of Great Earthquakes along the Nankai Trough

EMERGENCY PLANNING IN NORTHERN ALGERIA BASED ON REMOTE SENSING DATA IN RESPECT TO TSUNAMI HAZARD PREPAREDNESS

Source Fault Model of the 1771 Yaeyama Tsunami, Southern Ryukyu Islands, Japan, Inferred from Numerical Simulation

Numerical simulations for Investigation of the Coastline Erosion due to the 2004 Indian Ocean Tsunami

Slip distributions of the 1944 Tonankai and 1946 Nankai earthquakes including the horizontal movement effect on tsunami generation

SCIENCE OF TSUNAMI HAZARDS

Numerical Simulation of the December 26,2004: Indian Ocean Tsunami

Tsunami propagation modelling a sensitivity study

Integrated Approach to Assess the Impact of Tsunami Disaster

SOURCE PROCESS OF THE 2003 PUERTO PLATA EARTHQUAKE USING TELESEISMIC DATA AND STRONG GROUND MOTION SIMULATION

Predicting of Tsunami Inundation Area based on Propagation and Runup Numerical Model in Pacitan City

Coseismic slip distribution of the 1946 Nankai earthquake and aseismic slips caused by the earthquake

Tsunami Waveform Inversion based on Oceanographic Radar Data

Numerical Modeling for the Propagation of Tsunami Wave and Corresponding Inundation

Earthquakes and Tsunamis

The 2004 Indian Ocean tsunami: Tsunami source model from satellite altimetry

A SENSIVITY TEST OF TSUNAMI MODELLING USING VARIOUS DATA: CASE STUDY IN CILACAP INDONESIA

A Study of Open Boundary Conditions for Far Field Tsunami Computation MD. FAZLUL KARIM a, G D ROY b, AHMAD IZANI M ISMAIL a

THE 2011 OFF THE PACIFIC COAST OF TOHOKU-OKI EARTHQUAKE AND TSUNAMI: INFLUENCE OF THE SOURCE CHARACTERISTICS ON THE MAXIMUM TSUNAMI HEIGHTS

Updating the GEBCO Grid

Supplement of Scenario-based numerical modelling and the palaeo-historic record of tsunamis in Wallis and Futuna, Southwest Pacific

Tsunami potential and modeling

Tsunami Hazard Assessment for the Arabian Gulf from Earthquakes and Surface Landslides

Tsunami waveform analyses of the 2006 underthrust and 2007 outer-rise Kurile earthquakes

DETERMINATION OF EARTHQUAKE PARAMETERS USING SINGLE STATION BROADBAND DATA IN SRI LANKA

Analysis of the Tsunami Generated by the Great 1977 Sumba Earthquake that Occurred in Indonesia

Sumatra earthquake from tsunami tide gauge record inversion

W phase inversion and tsunami inundation modeling for tsunami. early warning: case study for the 2011 Tohoku event

DATA BASE DEVELOPMENT OF ETA (ESTIMATED TIME OF ARRIVAL) FOR TSUNAMI DISASTER MITIGATION AT SOUTHWESTERN CITIES OF ACEH, INDONESIA

QUANTIFYING NUMERICAL MODEL ACCURACY AND VARIABILITY. Luis Montoya 1 and Patrick Lynett 1

Tsunamis and ocean waves

Detailed analysis of tsunami waveforms generated by the 1946 Aleutian tsunami earthquake

Preliminary Study of Possible Tsunami Hazards in Taiwan Region

Time and Space Distribution of Coseismic Slip of the 2011 Tohoku Earthquake as. Inferred from Tsunami Waveform Data

Mechanism of tsunami generation,propagation and runup -sharing experiences with Japanese

Predicting tsunami waves and currents on the West Coast of Canada: A case study for Ucluelet, BC

General-Circulation- Model System for Global Tsunami Warning

Advisors: Arcadii Grinshpan, Mathematics and Statistics Rocco Malservisi, School of Geosciences. Problem Suggested By: Rocco Malservisi

History of International Training in Seismology and Earthquake Engineering at IISEE

Did a submarine landslide contribute to the 2011 Tohoku tsunami?

Assessment of tsunami threat to Sri Lanka from potential mega-thrust earthquakes in the Arakan subduction zone

2. Tsunami Source Details

Tsunami. Harry Yeh Oregon State University. Eastern Japan Earthquake Disaster Briefing at PEER: April 28, 2011

Tsunami source area of the 2011 off the Pacific coast of Tohoku Earthquake determined from tsunami arrival times at offshore observation stations

SCIENCE OF TSUNAMI HAZARDS

Coupled Simulation of Ground Shaking and Tsunami for Mega-thrust Subduction Earthquakes

Seismic Characteristics and Energy Release of Aftershock Sequences of Two Giant Sumatran Earthquakes of 2004 and 2005

BIBLIOGRAPHIC REFERENCE

Overview of Consequences of the Tsunami in Thailand and Roles and Activities of the Department of Mineral Resources after the 26 December 2004 Tsunami

Tsunami modeling from the seismic CMT solution considering the dispersive effect: a case of the 2013 Santa Cruz Islands tsunami

University of Bristol - Explore Bristol Research. Publisher's PDF, also known as Version of record

Preparation for Future Earthquake and Tsunami Hazards: Lessons Learned from the 2004 Sumatra-Andaman Earthquake and the Asian Tsunami

THE EFFECT OF THE LATEST SUMATRA EARTHQUAKE TO MALAYSIAN PENINSULAR

EFFECTIVE TROPICAL CYCLONE WARNING IN BANGLADESH

JMA Tsunami Warning Services. Takeshi KOIZUMI Senior Coordinator for International Earthquake and Tsunami Information Japan Meteorological Agency

Groundwater and Coastal Phenomena Preceding the 1944 Tsunami (Tonankai Earthquake)

Developing fragility functions for tsunami damage estimation using the numerical model and satellite imagery

FLOOD HAZARD AND RISK ASSESSMENT IN MID- EASTERN PART OF DHAKA, BANGLADESH

GROUND MOTION SPECTRAL INTENSITY PREDICTION WITH STOCHASTIC GREEN S FUNCTION METHOD FOR HYPOTHETICAL GREAT EARTHQUAKES ALONG THE NANKAI TROUGH, JAPAN

SMR/ May Simulation Analyses of Tsunami caused by Chilean and Nihon-Kai Chubu Earthquakes at Nuclear Power Plant Sites in Japan

Tsunami source of the 2004 off the Kii Peninsula earthquakes inferred from offshore tsunami and coastal tide gauges

PROOF COPY [WW/2006/022653] QWW

RELATION BETWEEN RAYLEIGH WAVES AND UPLIFT OF THE SEABED DUE TO SEISMIC FAULTING

Figure 3.1: Illustration showing the bathymetry s role for the tsunami propagation following the earth quake 26 December 2004 outside of Sumatra.

RELOCATION OF LARGE EARTHQUAKES ALONG THE SUMATRAN FAULT AND THEIR FAULT PLANES

THE DEPOSITS OF TSUNAMIS WESLEY PESANTEZ, CATHERINE NIELD, COLIN WINTER

News Release December 30, 2004 The Science behind the Aceh Earthquake

Tsunami risk assessment in the Marquesas Islands (French Polynesia) through numerical modeling of generic far-field events

Transcription:

Synopses of Master Papers Bulletin of IISEE, 47, 11-16, 013 VALIDATION OF TSUNAMI INUNDATION MODELING FOR THE 004 SUMATRA-ANDAMAN EARTHQUAKE FOR MAKING HAZARD MAPS IN PENANG AND LANGKAWI, MALAYSIA Noor Azam Shaari MEE116 Supervisor: Yushiro FUJII Hideaki YANAGISAWA ABSTRACT We adopted three heterogeneous slip models estimated by inversion method from satellite altimetry data, tsunami waveform data at tide gauges and the joint data as tsunami source models. Non-Linear Shallow Water Equations (NSWE) by considering the effects of the earth s curvature were applied in the numerical simulation to evaluate the tsunami propagation and runup at the target areas in Penang and Langkawi, Malaysia. We applied a nesting grid system with four layers in the numerical modeling. The result shows that the locations in the study region, Pantai Acheh, Pantai Tengah, Pantai Chenang, Kuala Triang and Pantai Kok, are prone to the tsunamis, where the tsunami heights of about.5 m were calculated. The calculated tsunami waves from the all source models almost reproduce the observed ones at two tide gauges. Tsunami source models with larger slip amount over Nicobar and Andaman Islands contribute to the maximum tsunami runup as high as 4.0 m in Pantai Tengah and Pantai Chenang. These results are almost agreeable to the runup-height data by the field survey. Keywords: 004 Sumatra-Andaman earthquake, Tsunami Propagation, Runup, Inundation, Langkawi, Penang. 1. INTRODUCTION An earthquake that occurred at 00:58:49 (UTC) on December 6, 004 along the Sumatra Island and Andaman Islands has created a big impact after the giant tsunami waves and struck the world and Malaysia especially in the coastal areas. The 004 Sumatra-Andaman earthquake with a magnitude of M9.1 at epicenter 3.316 0 N/ 95.854 0 E (USGS) has generated the giant tsunami waves propagated to few states in the northwest of Peninsular Malaysia. It is recorded that about 68 people died, left 6 missing and 300 injured. The Northern States of the west coast of Peninsular Malaysia have been badly affected by tsunami. Among the state affected were Kedah, Penang, Perlis, Perak and Selangor. Tsunami simulations from three source models will be used to validate the tsunami propagation in whole inundated areas in Langkawi, Penang and Kedah. This study is also aimed to analyze the tsunami inundation to the target locations in Batu Feringghi (P1), Pantai Chenang (K) and Kuala Triang (K3). Neighboring location such as P, P4, K1 and K4 will also be analyzed as they are located inside the same computational domain. Malaysian Meteorological Department. International Institute of Seismology and Earthquake Engineering (IISEE), Building Research Institute (BRI), Japan. Tohoku-Gakuin University, Japan.

. DATA.1 Bathymetry and topography data We used the bathymetry data from General Bathymetric Chart of the Ocean (GEBCO) with spatial grid size at 30 arc-sec. Generic Mapping Tools (Wessel and Smith, 007) is used to process and draw the bathymetry data in the target area lies within 0 N to 15 N and 90 E to 105 E. For the calculation of the inundation, the topography data from Shuttle Radar Topography Mission (SRTM) is applied.. Computational regions and settings to evaluate tsunami propagations In order to perform the numerical modeling to evaluate the tsunami wave propagation towards the target area the computational area is divided into three regions (Figure 1). The bathymetry and topography data for all the regions are interpolated from GEBCO 30 arc-sec. The calculation time for the computation is 8,800 s (8 hours) with computation time step ( t) of 3 s. The t is derived from the stability criterion x formula t. Maximum sea gh max depth (h max ) of the computation region 1 is 5,514 m and gravitational acceleration at 9.81 ms -. Numerical simulation with the nesting grid system is carried out for the evaluation of the tsunami propagations from source area. Figure 1. Location and boundary of each computational region..3 Computational regions and settings to evaluate tsunami inundations In order to evaluate the tsunami inundation at each target locations, the computational area is divided into four regions. The same computational regions as those in section. are applied to the regions 1 and, but slight changes are made to region 3 to avoid the numerical instability during the computation. The same calculation time for the computation at 8,800 s (8 hours) is used at t of 3 s. The computation region 3 at the target area in Penang (Figure ) and Langkawi (Figure 3) is divided into smaller region 4. Target locations of P1, K and K3 are located at their smaller region 4 to analyze the coastal wave amplification. The bathymetry and topography grids in inundation area are merged for getting finer sea bottom surface and elevation data. The bathymetry for the region 4 is interpolated from GEBCO 30 arc-sec, whereas the topography is from SRTM 3 arc-sec. Three different sets of numerical simulations are performed to analyze the coastal amplification over the respective target locations.

Figure. Location and boundary for computational region 3 for Penang. Figure 3. Location and boundary for computational region 3 for Langkawi..4 Tide gauge stations and tsunami waveform data There are four tide gauge systems that are now operated in the study area. Two of the systems are operated by Department of Survey and Mapping (JUPEM); one located in Penang (5 5 N/100 1 E) and the other in Langkawi (6 6 N/ 99 46 E). The other two operated by Malaysian Meteorological Meteorology (MMD) is located in Penang (5 7 N/100 10 E) and Langkawi (6 15 N/ 99 44 E). Observed tsunami waveforms by JUPEM at sampling interval of 50 s will be used in the study. Figures 4 and 5 show the locations of the tide gauge stations at Penang and Langkawi. Figure 4. Location of tide gauge station at Penang. Figure 5. Same as Figure 4, but for Langkawi..5 Tsunami source region and source models In this study three heterogeneous slip models from Model 1 by Hirata et al. (006), Model by Fujii and Satake (007), and Model 3 by Tanioka et al. (006) will be used in the validation process. Initial sea surface heights from the slip models shown in Figure 6 are calculated by the Okada formulation (Okada, 1985). The different variation of tsunami propagations is expected to be produced from the different parameters and slip amount used in the simulation.

Figure 6. Seafloor deformations by Model 1 (left), Model (center) and Model 3 (right). Red and blue lines indicate the uplift and subsidence area, respectively, with the contour interval of 1.0 m. 3. THEORY AND METHODOLOGY 3.1 Non-linear shallow water and governing equations The original Tohoku University s Numerical Analysis Model for Investigation (TUNAMI-N) model neglects the earth s curvature (Dao and Tkalich, 007). To consider the effects of the earth s curvature, the NSWE model is reformulated in spherical coordinates (Yanagisawa, 01). The continuity and momentum equations are rewritten as follows; η 1 M + (cos ) = 0 cos + N θ t R θ λ θ M gd η 1 M 1 MN gn + + + (cos ) + + cos cos θ M M N t R θ λ R θ λ cos 7 / 3 D R θ θ D D N gd 1 1 (cos ) N cos MN gn + θη + + ( ) + cos cos θ N M t R θ θ R θ λ cos 7 / 3 D R θ λ D D = 0 + N = 0 (1) () (3) Where η is wave amplitude, M is discharge fluxes in the λ (along a parallel of latitude) direction, N is discharge fluxes in the θ (along a circle of longitude) direction, R is radius of the earth at 6378.137 km, t is time and n is manning roughness coefficient (n = 0.05 in this study). 3. Runup and inundation height The main objective of this study is to investigate the onshore effects of a tsunami or runup. Runup and inundation height are referring to the maximum vertical tsunami height onshore and elevation of local watermark measured from the sea level at the time of tsunami attack.

4. RESULTS AND DISCUSSION 4.1 Tsunami wave propagations The result of Model 1 shows that K1, K, K3 and K4 are facing large tsunami height from.4 m up to.9 m but it is slightly lower at P1, P and P4. Wave pattern of Model 3 is slightly similar to that of the Model 1 but the tsunami height at K4 is only 1.5 m which is about half of.9 m in Model 1. The calculated tsunami height of Model is relatively small compared with Models 1 and 3. The calculated tsunami height at P1, P and P4 from Model 1 is almost agreeable to the computation result reported in Koh et al. (009) by using an in-house Tsunami Numerical Simulation Model (TUNA). The pattern of maximum tsunami heights at all coastal points show that P5, K1, K, K3 and K4 have been hit by the high waves about.0 m from Model 1. Figure 7 shows the calculated tsunami waveforms at four tide gauge stations in Penang and Langkawi and the comparison with the observed waveforms at TG1 and TG3. The calculated waveforms and the observed data generally fit to each other. The waveforms by Model 1 almost reproduce the observed ones. Figure 7. Comparison between the calculated tsunami waveforms (blue lines) and the observe ones (red lines) at tide gauge stations by Model 1(left), Model (center) and Model 3(right). 4. Tsunami inundation analysis All the calculated runup heights in Penang are underestimated compared with the observation data. The observed maximum tsunami runup is at as high as 4.0 m at P (Figure 8). Maximum tsunami runup estimated at K1 and K was between 3. and 4.0 m for both Model 1 and 3, respectively (Figure 9). The calculated result is almost agreeable to the observed data which is recorded at the maximum height of 3.75 m at K. Tsunami runup at the target locations K3 and K4 seem to be overestimated, where the calculated result from Model 1 shows the maximum runup at 5.1 and 5.3 m, respectively (Figure 10). The maximum runup from the observed data is only between.5 and 3.09 m. The computed runup at K3 by Model 3 is almost agreeable to the observed data of 3.1 m. Figure 8. Comparison between the calculated maximum tsunami runup heights and observed ones at the target locations in Penang

Figure 9. Same as Figure 8, but in Pantai Chenang, Langkawi. Figure 10. Same as Figure 8, but in Kuala Triang, Langkawi. 5. CONCLUSIONS The result of the tsunami propagation analysis shows that about.5 m of tsunami waves approaching the coastal locations P5, K1, K, K3 and K4 may severely impact the area if there is no sufficient protection given by the authority. The calculated maximum runup heights at K1 and K are as high as 4.0 m which is almost agreeable to the field observation data. The elevation profile also suggests that the location P1, P4 and K are exposed to the tsunami threat as they are located at low land. It was also found that the tsunami generated by the source Models 1 and 3 with higher slip distributions in Nicobar and Andaman Islands contributed to the large tsunami heights and runups over the study region. The source parameters from historical earthquakes and tsunamis in the northern Sumatra especially at Nicobar and Andaman islands will be investigated in order to estimate the impact to the northwest Peninsular Malaysia. The inundation results from the numerical simulations will be suggested for making tsunami hazard maps in Penang and Langkawi. ACKNOWLEDGEMENT Special thanks to Mohd Yusof Bin Abu Bakar and Zulkifli Bin Mohamad, the officers at the Department of Survey and Mapping Malaysia (JUPEM) and Malaysian Meteorological Department (MMD) for their support to make this study successful. REFERENCES Dao, M.H., Tkalich, P., 007. Natural Hazards and Earth System Sciences, 7, 741-754. Fujii, Y., Satake, K., 007. Bull. Seism. Soc. Am., Vol. 97, No. 1A, pp. S19-S07. Hirata, K., et al., 006. Earth Planets Space, 58, 195-01. Koh, H.L., et al., 009. Journal of Asian Earth Sciences 36(009) 74-83. Okada, Y., 1985. B. Seism. Soc. Am. 75 (4), 1135-1154. Tanioka Y., et al., 006. Earth Planet Science 58(006), pp.03-09. Wessel, P. and W. H. F. Smith, 007, The Generic Mapping Tools, version 4..0. Yanagisawa, H., May 01, Tsukuba, Lecture Note 011-01.