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

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

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

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

STUDY ON APPROPRIATE MODELING OF TSUNAMIS IN MALAYSIA FOR RISK EVALUATION

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

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

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

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

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

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

Tsunami Simulation of 2009 Dusky Sound Earthquake in New Zealand

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

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

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

Three Dimensional Simulations of Tsunami Generation and Propagation

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

2. Tsunami Source Details

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

Magnitude 7.5 NEW BRITAIN REGION, PAPUA NEW GUINEA

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

Magnitude 7.5 NEW BRITAIN REGION, PAPUA NEW GUINEA

FOCAL MECHANISM DETERMINATION USING WAVEFORM DATA FROM A BROADBAND STATION IN THE PHILIPPINES

Preliminary Study of Possible Tsunami Hazards in Taiwan Region

Numerical Tsunami Propagation of 1703 Kanto Earthquake

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

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

Lessons from the 2004 Sumatra earthquake and the Asian tsunami

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

The Woodlark Basin as a Natural Laboratory for the Study of the Geological Sciences

SCIENCE OF TSUNAMI HAZARDS

Tsunami and earthquake in Chile Part 2

Papua New Guinea LiDAR Factsheet. Pacific-Australia Climate Change Science and Adaptation Planning. Vanimo. Bismark Sea. Wewak

Numerical investigation of the November 17, 2015 anomaly in the harbor of Crotone, Ionian Sea

Magnitude 7.5 PAPUA NEW GUINEA

Case Study 2: 2014 Iquique Sequence

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

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

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

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

Numerical Modeling for the Propagation of Tsunami Wave and Corresponding Inundation

Earthquakes and Tsunamis

SIMULATION OF A WORST CASE TSUNAMI SCENARIO FROM THE MANILA TRENCH TO VIETNAM

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

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

Tsunami Inundation Modeling in the Aegean Sea

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

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

RELOCATION OF LARGE EARTHQUAKES ALONG THE PHILIPPINE FAULT ZONE AND THEIR FAULT PLANES

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

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

Tsunami Waveform Inversion based on Oceanographic Radar Data

Magnitude 7.0 NEW CALEDONIA

Magnitude 7.0 PAPUA, INDONESIA

Tsunami Response and the Enhance PTWC Alerts

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

REAL-TIME TSUNAMI INUNDATION FORECAST STUDY IN CHIMBOTE CITY, PERU. By Nabilt Jill MOGGIANO ABURTO (MEE16720)

Evaluation of Tsunami Risk Posed to Sri Lanka by Potential Mega-Thrust Earthquakes in the Makran Subduction Zone

RELOCATION OF THE MACHAZE AND LACERDA EARTHQUAKES IN MOZAMBIQUE AND THE RUPTURE PROCESS OF THE 2006 Mw7.0 MACHAZE EARTHQUAKE

Sendai Earthquake NE Japan March 11, Some explanatory slides Bob Stern, Dave Scholl, others updated March

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

Towards an integrated assessment of coastal flood risk in southern China.

The IISEE earthquake catalog, Catalog of Damaging Earthquakes in the World, IISEE-NET,, and BRI strong motion observation

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

History of International Training in Seismology and Earthquake Engineering at IISEE

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

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

Seismogeodesy for rapid earthquake and tsunami characterization

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

THE CHARACTERIZING MODEL FOR TSUNAMI SOURCE REGARDING THE INTER-PLATE EARTHQUAKE TSUNAMI

Seismic Activity and Crustal Deformation after the 2011 Off the Pacific Coast of Tohoku Earthquake

AVERAGE AND VARIATION OF FOCAL MECHANISM AROUND TOHOKU SUBDUCTION ZONE

Chapter 2. Earthquake and Damage

Deep-Water Characteristics of the Trans-Pacific Tsunami from the 1 April 2014 M w 8.2 Iquique, Chile Earthquake

Teleseismic waveform modelling of the 2008 Leonidio event

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

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

Tsunami Hazards of the Pacific Rim

PROBABILISTIC SEISMIC HAZARD ASSESSMENT FOR SOUTH PACIFIC ISLANDS ABSTRACT

The Bottom of the Ocean

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

PoS(ISGC 2011 & OGF 31)078

Contribution of HPC to the mitigation of natural risks. B. Feignier. CEA-DAM Ile de France Département Analyse, Surveillance, Environnement

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

Magnitude 7.9 SE of KODIAK, ALASKA

TSUNAMI AND EARTHQUAKE ACTIVITY IN INDONESIA *

Cascadia Seismic Event Planning for the Maritime Community

Magnitude 7.5 PALU, INDONESIA

Earthquakes Physical Geology 2017 Part 1: Exploring Earthquake distributions. Home butto California Earthquakes: 1) 2) 3) above

Indian Ocean Tsunami Warning System: Example from the 12 th September 2007 Tsunami

Tsunami waves swept away houses and cars in northern Japan and pushed ships aground.

MODELING OF TSUNAMI GENERATION, PROPAGATION COAST FROM THE AZORES CONVERGENCE ZONE AND REGIONAL IMPACT ALONG THE UPPER U.S. EAST

crustal structure experiment beneath Wairarapa - Wellington area: results from SAHKE

Tsunami Simulations after the Mw7.5 78km N of Palu, Indonesia September 28, 2018

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

Disclaimer. This report was compiled by an ADRC visiting researcher (VR) from ADRC member countries.

The potential tsunami threats from the South China Sea and hazard mitigation

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

Transcription:

TSUNAMI PROPAGATION AND INUNDATION MODELINGS ALONG SOUTH-EAST COAST OF PAPUA NEW GUINEA Martin WAREK Supervisor: Yushiro FUJII MEE12620 Bunichiro SHIBAZAKI ABSTRACT This study covers tsunami generation, propagation and inundation using eight earthquake scenarios along the New Britain Trench and Ramu-Markham Fault zone in the south-eastern region of Papua New Guinea. The tsunami propagation and inundation modeling, based on the TUNAMI-N2 hydrodynamic computational model, was used in this study. The computational domain ranges from 141 o to 158 o longitude and negative 1 o to negative 12 o latitude. The GEBCO 30 arc-second data and coastal topography data from SRTM were utilized in the computation of tsunami waves and the inundation study in the target areas. Eight earthquake scenarios comprising of two Mw8.6 segments, an Mw8.7 segment, and five Mw8.1 magnitudes were selected along the Ramu-Markham Fault zone and the New Britain Trench for computing tsunami height, travel time and inundation of the target areas. Geographically assuming tidal gauge stations at desired coastal points within the computational domain, tsunami heights and travel time to these coastal points were computed and results obtained. The earthquake scenarios, Mw8.6 segment_1 and Mw8.1 segment_a, with the highest tsunami height to the target areas were selected as computational model for tsunami inundation study. The tsunami travel time from fault segments covering both the sea and the land produced 0 min to 20 min travel time. The maximum tsunami heights of 3 to 4 m were recorded for Mw8.6 segment_1 and Mw8.7 segment_2 in Woodlark Island, Kiriwina Island, and Finch coastal points. The inundation study reveals Lae City observing negligible inundation, while Salamaua Coast was inundated with tsunami inundation height of 3 m. Keywords: Tsunami Waveforms, Tsunami Heights, Tsunami Travel Time, Inundation 1. INTRODUCTION The complex seismic zone, active and frequent seismic activities in the region of Papua New Guinea has significantly put the country at risk of seismic induced tsunami. In 17 th July 1998, seismic induced submarine slump caused tsunami off the coast of Aitape claiming more than 2,200 lives and left more than 10,000 homeless. Several tsunamigenic earthquakes following the year caused recorded tsunami heights as far as 3 m along the coast and the coastal islands of Papua New Guinea. The high seismicity observed along New Britain Trench axis and Ramu-Markham Fault zone, where Solomon Sea and Australian Plates subduct South Bismarck and Pacific Plates, are potential tsunami source areas. In this study, tsunami heights and travel time of earthquake scenarios placed along the Ramu-Markham and New Britain Trench were assessed along the south-east coast of Papua New Guinea. Lae City and Salamaua coast in Morobe Province were selected as the target areas of tsunami inundation. Department of Works, Government of Papua New Guinea, Port Moresby, Papua New Guinea. International Institute of Seismology and Earthquake Engineering (IISEE), Building Research Institute (BRI), Japan. 1

2.1 Shallow Water Equations 2. THEORETICAL CONSIDERATION The theory considers trans-oceanic tsunami of long wavelength against shallow water depth. The governing equations in spherical coordinates system are as follows. (1) (2) where θ and λ denote longitude and latitude respectively, η denotes elevation of water surface, D is the total water depth (h+η), h is the still water depth, t is time, R is the earth s rotational axis, ρ is density, M and N are flux (discharge) along the θ longitude and λ latitude while τ x /ρ and τ y /ρ are bottom friction terms. The fundamental continuity and momentum equations expressed in a Cartesian coordinate system are as follows (Koshimura, 2013). (4) (3) (5) (6) The discharge flux M and N are given in Eq. (7) and (8). (7) (8) where u and v are water particle velocities in direction x and y respectively. 3. DATA AND METHODOLOGY The Tohoku University s Numerical Analysis Model for Investigation of Near-field Tsunami (TUNAMI-N2), the simulation code by Koshimura (2013) and Fujii (2013) was used for computing tsunami heights and travel times, while inundation code by Yanagisawa (2013) was used for tsunami inundation study. The bathymetry data from GEBCO 30 arc-second and SRTM 3 arc-second were utilized for the computation. The computational domain at 141 o to 158 o longitude and 1 o to 12 o latitude was set as region 1 of the study with the grid size of 1020 x 660. In the computation of tsunami heights and travel times, GEBCO 30 arc-second data with 1 arc-minute spatial grid size was used for region 1. In the inundation study of the target area, region 2, 3 and 4, the grid sizes are 390 x 300, 270 x 225 and 459 x 243, respectively. The region 2 and 3 used GEBCO bathymetry data, while SRTM 3 arc-second data was used as coastal topographic data in region 4. Figure 2 shows the location of the existing and assumed tidal gauge stations. 2

Figure 1. Location of earthquake scenarios. Left: mega scenarios, right: Mw8.1 scenarios. Earthquake scenarios with fault segments shown in Figure 1 were used for computation for tsunami waves and inundation. The fault parameters are shown in Table 1. The fault segments were placed along the subduction trench, and subducting plates based on Wallace et al., (2004). The earthquake scenarios were two Mw8.6 segments (S1 and S3), an Mw8.7 segment (S2), and five Mw8.1 segments (SA, SB, SC, SD, SE). Dip angles were obtained from USGS Slab 1 Interactive Map data. Table 1. Fault parameters for each earthquake scenario. Scenario Mw Lon. Lat Length, L (km) Width, W (km) Strike, θ Dip, δ Rake, λ Slip, u (m) 1 8.6 148.4-7.6 426 146 300 20 90 3.6 2 8.7 153.0-5.7 536 146 248 20 90 4.0 3 8.6 155.6-8.0 426 146 312 20 90 3.6 A 8.1 149.0-7.3 169 117 283 20 90 2.0 B 8.1 150.6-6.8 169 117 253 20 90 2.0 C 8.1 152.3-6.0 169 117 246 20 90 2.0 D 8.1 153.8-6.2 169 117 290 20 90 2.0 E 8.1 154.9-7.4 169 117 316 20 90 2.0 The scaling law by Moritani at al. (2013) and the equations that follows were utilized for the computation of the fault parameters. (9) (10) (11) (12) Figure 2. Location of tidal gauge stations. (13) where W is the width area of the fault, Mo is the seismic moment, u is the average slip, S is the fault area and L is the length of the fault segment. 3

4. RESULTS AND DISCUSSION Figure 3 shows the tsunami waveforms obtained from earthquake scenario Mw8.1 S1 for all coastal points located around the Ramu-Markham and New Guinea Trench. The Finch and Voco Point coastal points observed the first wave of 1 m amplitude at initial time of 0 min. Madang coastal point showed similar phenomenon. Arawe coastal point, however, received negative waves at the initial time of 0 min. The other coastal points observed tsunami waves after the initial time. These waveform characteristics were observed in all earthquake scenarios. Relating to Figure 3, tidal gauge stations located within the fault areas and uplift regions observed waveforms characteristic similar to Finch, while those located outside fault area but within subsidence observed waveforms similar to Arawe. Positive wave was read from tidal gauge within the uplift region at the initial time, while negative wave was read at initial time for tidal gauge stations located within subsidence region. Figure 4, the maximum tsunami heights observed for the mega earthquake scenarios, Mw8.6 S1 and Mw8.7 S2, were more than 3 m at Finch, Woodlark Island and Kiriwina Island coastal points. Maximum tsunami height observed from earthquake scenarios Mw8.1 was from SA. The maximum tsunami height at Voco Point and Salamaua coastal points, were obtained from Mw8.6 S1 and Mw8.1 SA computation. Accordingly, these two scenarios were used for the inundation study of the target area. In Figure 5, tsunami travel time less than 10 min for earthquake Figure 3. Calculated tsunami waveforms for each coastal point for the earthquake scenario Mw8.6 S1. scenario Mw8.6 S1 was observed at Finch, Voco Point and Madang coastal points. For earthquake scenario Mw8.7 S2, the tsunami travel time within 10 min was observed at Finch, Watta and Arawe coastal points. The tsunami travel time less than 10 min for Mw8.1 SA was observed at Finch and Voco Point coastal points. For Mw8.1 SB, tsunami travel time less than 10 min was observed at Arawe coastal point, while Mw8.1 SC was observed at Watta coastal point. The tsunami travel time less than 10 min for earthquake scenario Mw8.1 SD was observed at Madahas Island and Watta coastal points. For earthquake scenario Mw8.1 SE, tsunami travel time less than 10 min was observed at Jaba and Madahas Island coastal points. The inundation study in Figures 6 and 7 revealed negligible inundation in Lae City, while inundation in Salamaua was observed with a height of 3 m from Mw8.6 S1. For Mw8.1 SA, only Salamaua coast was inundated at 1.2 m height. Bathymetry and coastal topography of Lae City and Salamaua was responsible for the inundation pattern observed in the two target areas. 4

Heights (m) 4.50 4.00 3.50 3.00 2.50 2.00 1.50 1.00 0.50 0.00 S1 S3 SB SD S2 SA SC SE Figure 4. Tsunami heights for each coastal point from the computation of the earthquake scenarios. Time (min) 100 90 80 70 60 50 40 30 20 10 0 S1 S2 S3 SA SB SC SD SE Figure 5. Tsunami travel time to various coastal points from respective earthquake scenario source area. Figure 6. Calculated tsunami inundation of the region 4 from earthquake scenarios Mw8.6 S1 (left) and Mw8.1 SA (right). 5

Figure 7. Magnified maps of rectangular areas in Figure 6. The left figure shows negligible inundation in Lae City, while right figure shows inundation in Salamaua. 5. CONCLUSION The study covers simulations of tsunami propagation and inundation performed from earthquake scenarios along the New Britain Trench and the Ramu-Makharm Fault zone. Utilizing the GEBCO bathymetry data and SRTM coastal topographic data, tsunami travel time for each scenario and tsunami inundation study of Lae City and Salamaua were investigated. The tsunami heights exceeded 3 m were observed from earthquake scenarios Mw8.6 S1 and Mw8.7 S2 at Finch, Kiriwina Island and Woodlark Island coastal points. Coastal points within the fault area, the uplift region and subsidence region recorded tsunami travel time within 10 min. The inundation study of Lae City and Salamaua revealed negligible inundation observed in Lae, while 3 m height tsunami inundation was observed at Salamaua. Similar studies are needed for coastal towns and cities in Papua New Guinea. To carry out such study, the Department of Works must have tsunami disaster management policy as prerequisite to utilizing government resources (manpower and finance). ACKNOWLEDGEMENTS I would like to expresses my sincere gratitude to Dr. H. Yanagisawa for using his inundation model and Dr. Hurukawa for his invaluable comments at the final stage of this study. REFERENCES Fujii Y., 2013, IISEE Lecture Note 2013, IISEE, BRI. Koshimura S., 2013, IISEE Lecture Note 2013, IISEE, BRI Murotani S., Satake K. and Fujii Y., 2013, GRL, under review. Wallace L. M., Stevens C., Silver E., McCaffrey R., Loratung W., Hasita S., Stanaway R., Curley R., Rosa R. and Taugaloidi J., 2004, Geophys. J. Int., 109, B05404. Website: General Bathymetric Chart of the Ocean (GEBCO), https://www.gebco.net/. Website: Shuttle Radar Topographic Mission (SRTM), http://dds.cr.usgs.gov/srtm/version2_1/srtm3/eurasia/. Website: United State Geological Survey (USGS), USGS Slab 1.0 Interactive Map data, (http://earthquake.usgs.gov/research/data/slab/map/. Yanagisawa H., 2013, IISEE Lecture Note, IISEE, BRI. 6