Earthquake and tsunami scenarios in the South China Sea Vu Thanh Ca Center for Marine and Ocean-Atmosphere Interaction Research Vietnam Institute of Meteorology,

Slides:



Advertisements
Similar presentations
Treasure Island Development Project How Tsunamis Are Generated Most tsunamis are caused by earthquakes generated in a subduction zone (where oceanic plate.
Advertisements

Evaluation of the effect of the disaster prevention technique using coastal farmlands Kiri H. and H. Tanji National Institute for Rural Engineering National.
THE ZONING AND CALCULATION OF AREAS ENDURED THE EFFECTS OF CLIMATE CHANGE IN THE LOWER MEKONG RIVER DELTA Presented by Bao Thanh Authors: Bao Thanh, Nguyen.
Physics of Tsunami By: Febdian Rusydi Aree Witolear.
Generation of the 2004 Sumatra-Andaman Tsunami WHIO, 30 Oct., 2006.
TSUNAMI BY :KARISSA SHAMAH +
CHAPTER 5: PREDICTING STORM SURGE LESSONS FROM HURRICANE IKE.
Numerical Simulation of Benchmark Problem 2
Instrumentation and Quantification of Tsunamis With an Emphasis on the Santa Barbara Channel.
Key factors determining the extent of tsunami inundation – Investigations using ANUGA Biljana Lukovic and William Power GNS Science, Lower Hutt, New Zealand.
LESSONS LEARNED FROM PAST NOTABLE DISASTERS JAPAN PART 1A: EARTHQUAKES Walter Hays, Global Alliance for Disaster Reduction, Vienna, Virginia, USA.
WORKING GROUP 1 MODELING OF WIND WAVES AND SURGE EVENTS IN THE CASPIAN, BLACK, AZOV AND BALTIC SEAS.
A nearfield Tsunami warning system in Taiwan by unit tsunami method Po-Fei Chen 1, Yun-Ru Chen 2, Bor-Yaw Lin 1,3, Wu-Ting Tsai 2 1. Institute of Geophysics,
Multi-scale Simulation of tsunami from Tohoku Earthquake and Diffracted Tsunami Waves in Hokkaido ZHU AIYU, Zhang Dongning Institute of Geophysics, China.
Global Tsunami Catalog: a comparative study of tsunami occurrence in the main tsunamigenic regions in the World Ocean V.Gusiakov Tsunami Laboratory Institute.
NEW CHALLENGES CONCERNING GEO-HAZARD EVALUATION – J M MIRANDA J Miguel Miranda CGUL / IDL.
STORM SURGE. Composed of several attributes: A)Barometric – Coastal water response to low pressure at center of storm B) Wind stress – frictional drag.
Model Simulation Studies of Hurricane Isabel in Chesapeake Bay Jian Shen Virginia Institute of Marine Sciences College of William and Mary.
Fall 2008 Version Professor Dan C. Jones FINA 4355.
Flooding in New York City 30 October Current Conditions.
Tsunamis Presented by: Saira Hashmi Oct. 14 th,2005 EPS 131 Introduction to Physical Oceanography.
Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.
Joint Regional Conference on Disaster Relief and Management – International Cooperation & Role of ICT Help at Alexandria, Egypt during the period from.
Surface wind stress Approaching sea surface, the geostrophic balance is broken, even for large scales. The major reason is the influences of the winds.
Tsunami Methodology Validation Findings and Recommendations Dr. Jawhar Bouabid and Mourad Bouhafs April 09, 2015.
Numerical study of wave and submerged breakwater interaction (Data-driven and Physical-based Model for characterization of Hydrology, Hydraulics, Oceanography.
THE NEXT DESTRUCTIVE TSUNAMI: ITS NOT IF, BUT WHEN.
Tsunamis GEOL 4093 Risk Assessment. Tsunamis Also known as “seismic sea waves” Generating force is not wind, but movement of the sea floor, volcano, landslide,
Today’s Tune “This is the Sea” by The Waterboys. Next Midterm Monday, May 16, 2011, 1:00 ¥ Here in Gilfillan Auditorium, closed book ¥ Same format as.
FFCUL, PORTUGALBologna Oct 2006 NEAREST Coordinator: Maria Ana V Baptista NEAREST PARTNER - FFCUL PORTUGAL.
Tsunami Hazard Assessment along the Coast of Lingayen Gulf, Pangasinan, Philippines Julius M. GALDIANO PHIVOLCS Julius M. GALDIANO PHIVOLCS 4 th International.
1 A Note to the User of This File Visit to check updates for this chapter.
RA-228 AND RA-226 FROFILES FROM THE NORTHERN SOUTH CHINA SEA Hsiu-Chuan Lin, Yu-Chia Chung and Chi-Ju Lin Institute of Marine Geology and Chemistry, National.
National Center for Computational Hydroscience and Engineering The University of Mississippi Wave Model of CCHE2D-Coast For Model Training Course Yan Ding,
Tsunami Warning System of SCS
Scenarios 1.Tidal influence 2.Extreme storm surge (wave overtopping, max. limit 200 l/s/m, period 2 h) Outlook calibration and validation of 3D model transfer.
Hurricane Ike. Natural Hazards and Disasters Chapter 5 Tsunami.
Tsunamis: More Than a Splash Presentation By: Ka’ai Young, Ellie Goodrich, Geri Trower, & Ivan Maurer PHYSICS 1010.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
The Governing Equations The hydrodynamic model adopted here is the one based on the hydrostatic pressure approximation and the boussinesq approximation,
COMPARISON OF ANALYTICAL AND NUMERICAL APPROACHES FOR LONG WAVE RUNUP by ERTAN DEMİRBAŞ MAY, 2002.
Effect of the 1755 Lisbon tsunami in the French West India Andrey Zaitsev, Anton Chernov, Tatiana Talipova Efim Pelinovsky Narcisse Zahibo Ahmet Yalciner.
Part 5: Motion of the Ocean
WORKSHOP ON LONG-WAVE RUNUP MODELS Khairil Irfan Sitanggang and Patrick Lynett Dept of Civil & Ocean Engineering, Texas A&M University.
Information Kit for the Caribbean Media
Xiaoming Wang and Philip L.-F. Liu Cornell University
Numerical Evaluation of Tsunami Wave Hazards in Harbors along the South China Sea Huimin H. Jing 1, Huai Zhang 1, David A. Yuen 1, 2, 3 and Yaolin Shi.
IOC Expert Missions May-August, 2005 UNESCO IOC TSUNAMI PROGRAMME.
Waves in the Ocean. Waves are the undulatory motion of a water surface. Parts of a wave are, Wave crest,Wave trough, Wave height (H), Wave Amplitude,
International Workshop on Long-Wave Runup Models 2-Dimensional Model with Boundary-Fitting Cell System Benchmark #2:Tsunami Runup onto a Complex 3Dimensional.
Chapter 3 Section 1 The Geosphere.
Tropical Atlantic Biases in CCSM4 Semyon A. Grodsky 1, James A. Carton 1, Sumant Nigam 1, and Yuko M. Okumura 2 1 Department of Atmospheric and Oceanic.
Chapter 7 Waves in the Ocean.
State of Tsunami Science and Early Warnings Dr. François Schindelé, CEA-DASE Chairman of the International Coordination Group for the Tsunami Warning System.
2002/05/07ACES Workshop Spatio-temporal slip distribution around the Japanese Islands deduced from Geodetic Data Takeshi Sagiya Geographical Survey Institute.
Tsunami Tsunami – a large destructive wave that is the result of a geologic process such as an earthquake (most likely), volcano, or land slide (both.
Tsunamis. BANDA ACEH, INDONESIA: June 23, 2004 A satellite image of the waterfront area of Aceh province's capital city before the tsunami.
Amro Elfeki, Hatem Ewea and Nassir Al-Amri Dept. of Hydrology and Water Resources Management, Faculty of Meteorology, Environment & Arid Land Agriculture,
Tsunami : Evaluating the Hazard in Southern California.
The causes of tsunamis Cameron Dunn. The causes of tsunamis Tsunami Tsunamis are secondary hazards caused number by a number of primary hazards such as.
Enhancement of Wind Stress and Hurricane Waves Simulation
Te Puru south Dr Willem de Lange.
Next Midterm Monday, May 18, 2009, 1:00
USING NUMERICAL PREDICTED RAINFALL DATA FOR A DISTRIBUTED HYDROLOGICAL MODEL TO ENHANCE FLOOD FORECAST: A CASE STUDY IN CENTRAL VIETNAM Nguyen Thanh.
By Nicola Hannah and Emma Hamilton
Waves in the Ocean.
OPTIMAL INITIAL CONDITIONS FOR SIMULATION OF SEISMOTECTONIC TSUNAMIS
UNIT 4 The theory of plate tectonics explains Earth’s geological processes
Parts of a Wave Defined:
Numerical Simulation of East China Sea Tsunami by Boussinesq Equation
Presentation transcript:

Earthquake and tsunami scenarios in the South China Sea Vu Thanh Ca Center for Marine and Ocean-Atmosphere Interaction Research Vietnam Institute of Meteorology, Hydrology and Environment 5/62 Nguyen Chi Thanh, Hanoi, Vietnam

Tsunami risks at Vietnam coast  There is no tsunami observation system in Vietnam, then no recorded data of tsunami exist.  Historic records: two tsunami events in 1877 and 1882 at Binh Thuan coast (South Central Vietnam), small earthquake caused small tsunami. No life loss or property damage reported  The tsunami events are mainly based on the memory of coastal residents. Almost all cases of tsunami events are confused with storm surge or wind waves.  Two important events: tsunami in Dien Chau (Nghe An Province, at the end of nineteenth century), caused flood with the depth of about 1.5m (in some report, the flood depth is 5m) and penetrated about 1km inland, and tsunami in Nha Trang in 1923 due to Hon Tro volcanic eruption (the recorded material is missing)

Tsunami risk at Vietnam coast  Primary research results of Paleotsunami (Cao Đình Triều, Ngô Thị Lư et al) show that in the past, there was huge tsunami attacking Vietnam coast;  The time tsunami attacking Vietnam coast is 380 years, 610 years and 960 years ago. Thus the tsunami return period is about 310 years???;  The maximum tsunami runup height could be 18m (????);

Various places with tsunami attacking records Tra Co Dien Chau Hue Nha Trang Phan Rang Vung Tau

Tsunami attacking spots

 However, the collected data were not reliable enough, and detailed studies are needed.  The study on the tsunami risk in Vietnam is mainly based on the earthquake data in the South China Sea, especially that from the Manila Trench.

Tsunami source near Vietnamese coast A major fault stretches from Red River to the South of Vietnam. In the offshore South Central Vietnam, the earthquake has the maximum magnitude of 6.5 with the faulting mechanism of the strike slip type. In the Tonkin Gulf and offshore North Central Vietnam, earthquake has the maximum magnitude of 7.5 with the faulting mechanism of the strike slip type. Volcanic activities are mainly offshore of South Central Vietnam coast. Possible land slide exists for all Vietnam coastal shelf

Earthquake in the center of South China Sea: magintude of less than 6.5, strike slip faulting mechanism Risk of tsunami due to land slide and volcanic activities: can be significant for Vietnam, but not yet evaluated

No. Magn itude Mom ent Area Leng thWidth Displacemen t length Mw Mo (Nm) A (km2 ) L (km)W (km)  u (m) x1 0^ x1 0^ No. Magn itude Strik eDipRake depth Mw(®é) h (km) Tsunamigenic earthquake scenarios offshore South Central Vietnam

N. MagnitudeMomentAreaLengthWidth Displacement length MwMo (Nm)A (km2)L (km)W (km)  u (m) x10^ x10^ x10^ No. MagnitudeStrikeDipRake Depth Mw(®é) h (km) Tsunamigenic earthquake scenarios south of Hainan Island

Manila Trench and Northern Luzon Ridge (Bautista et al, 2001)

H×nh 25.

No. Magnitud eMomentAreaLengthWidth Displacement Length MwMo (Nm)A (km2)L (km)W (km)  u (m) E E E E E E Tsunamigenic Earthquake Scenarios: Manila Trench No. MagnitudeStrikeDipRakeDepth Mw(®é) h (km)

Ryukyu Trench

No. MagnitudeMomentAreaLengthWidth Displacement Length MwMo (Nm)A (km2)L (km)W (km)  u (m) x10^ x10^ x10^ x10^ x10^ Tsunamigenic Earthqake scenarios: Ryukyu Trench No. MagnitudeStrikeDipRakeDepth Mw(®é) h (km)

Tsunami earthquake scenarios for Vietnam coast  The tsunami generation model: the Okada’s double couple source model (1985, 1997).

Numerical model for the tsunami propagation in the South China Sea  Based on MOST( Tito & Gonzalez, 1997)

Numerical modeling  Discretization schme: Finite volume methods with geological coordinate;  The computed results by the model are used as the boundary conditions for tsunami inundation computation on Vietnam coast.

Scenario Checking results Computations carried out to check the risks of tsunami due to different earthquake scenarios; Only earthquake with magnitude greater than 7.5 south of Hainan Island generate significant tsunami at Vietnam coast; The earthquakes offshore South Central Vietnam do not generate tsunami

Scenario checking results Earthquake with magnitude greater than 8 can generate significant tsunami at Vietnamese coast.

Determined 12 tsunamigenic earthquake scenarios with corresponding parameters

Results of tsunami computation at the Vietnam coast Fig 1 Tsunami height according to scenario 1 (earthquake M=8 at Manila Trench) Fig 2. Tsunami propagation time from the source (hours)

Results of tsunami computation at the Vietnam coast Fig 3 Tsunami height according to scenario 3 (earthquake M=8.5 at Manila Trench) Fig 4 Tsunami height according to scenario 5(earthquake M=9 at Manila Trench)

Results of tsunami computation at the Vietnam coast Fig 4 Tsunami height according to scenario 10 (earthquake M=9.0 at Ryukyu Trench) Fig 4 Tsunami height according to scenario 11 (earthquake M=7.5 south of Hainan)

Remarks  The risk of tsunami at Vietnam coast is small;  Results of computation show that the most dangerous earthquakes are that with magnitude of greater than 8 in the Manila Trench;  The possible strongest earthquake in the Manila Trench have the magnitude of 8.5. Thus, tsunami risk at Vietnam coast exists;  An earthquake with the magnitude of 9 in Ryukyu Trench and earthquake with magnitude of 7.5 at south Hainan island may cause significant tsunami at Vietnam coast;

A numerical Model for tsunami runup based on spacial averaging operator  Wetting/Drying grid mesh technique is often used when simulating tsunami intrusion inland  It is very difficult to simulate the tsunami intrusion inland with small grid mesh due to excessive computational time and memory;  Use of large grid mesh can create significant error if it is assumed that the grid mesh at the tsunami front is fully wet

The spatial averaged value of a physical quantity is defined as The relationship between ensemble average and spatial average is obtained by modifying the formula of Crapsite et al (1986) and Hiraoka (1990) and is expressed as With S w is the wetted surface inside a grid mesh (a cell), ds is a surface element area With As the effective surface function

Derivation of main equations of the model The main equations of the model are derived by applying the above-mentioned spatial averaging procedures to the shallow water equations and continuity equation

Spacial averaged governing equations Continuity equation Momentum equations

Wetting – Drying cells with wave front

Experiments by Ting and Kirby (1994, 1995, 1996) Wave generator 0.4m m

Computed and observed phase-averaged water surface elevation at (x-x b )/h b = Spilling breaker.

Computed and observed phase-averaged water surface elevation at (x-x b )/h b = Spilling breaker

Comparison between observed and computed time averaged wave height, highest, lowest and mean water surface elevation for spilling breaker. Experimental data from Ting and Kirby (1994, 1995).

Computed and observed phase-averaged water surface elevation at (x-x b )/h b = Plunging breaker.

Computed and observed phase-depth averaged relative advective transport rate of TKE in the horizontal direction at (x-x b )/h b = Plunging breaker.

Experiments by Mase and Kobayashi (1993)

Computed and observed wave runup height. T=2.5s,  =0.1.

One dimensional runup

3D wave runup on a conical island (Brigg et al, 1995)

Thank you