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Title: Data Processing for National Tsunami Warning Center in JAPAN


1
Data Processing for National Tsunami Warning
Center in JAPAN
  • Yuji NISHIMAE
  • Japan Meteorological Agency

2
What should TWC do ?
  • Watching seismic activities
  • Determination of hypocenter and magnitude
  • Evaluation of potential of tsunami generation
  • Estimation of amplitude of arrival time of the
    tsunami
  • Issuance of tsunami warning and earthquake
    information
  • Monitoring sea level

3
Historical review of earthquake observation and
tsunami warning
4
Major Tsunami Disasters In Japan
Mostly by Earthquake
Mostly by Tsunami
5
Development of Tsunami warning system in JMA
1952-1979 Within 15-20 minuets after the
occurrence of the earthquake
1980-1986 Within 12-13 minuets
1987-1993 Within 7-8 minuets
6
1960s---1970s
Telegram
Warning Center
Observatory
Compass
Displacement seismograph
Strong motion seismograph
Empirical method
7
1980s---1990s
Displacement seismograph
High sensitivity seismograph
Telegram
JMA communication network
Location and magnitude
Automatic Processing System
Empirical method
8
1994New Seismological Network
1998 Introduction of Quantitative Tsunami
Forecast System
Empirical method
Quantitative Tsunami Forecast
9
Issue time for Tsunami Warning after occurrence
of an earthquake
Seismic data processing by computer
Manual procedure
10
Earthquake Observation
11
Seismic activities around Japan
Hypocenter Determined by JMA in 2005 About
128,000
12
Seismic Data Transmission Network in Japan
Japan Meteorological Agency 2005/3/9
13
Seismometers used in JMAs Network
  • Velocity type seismometer with 3 components
  • Strong motion accelerometer

14
Accelerometer sensor
JMA Seismic Station
Velocity type Sensor - Short period - Three
component
15
Determination of Magnitude and Hypocenter
2. Read P/S Arrival Time and Maximum Amplitude
1. Real-time Data Collection
3. Determination of the Hypocenter
16
Calculation of magnitude
17
Estimation of magnitude for local events (1)
  • Displacement Magnitude MD
  • MD1/2log(AN2AE2)BetaD(Delta, H)CD
  • Maximum horizontal DISPLACEMENT amplitude (AN ,
    AE)
  • Using displacement obtained by double integration
    of acceleration
  • Delta epicentral distance (km), H Focal depth
    (km)
  • BetaD attenuation function depending on Delta
    and H
  • CD Constant

Contour representation of BetaD
18
Estimation of magnitude for local events (2)
  • Velocity Magnitude MV
  • MVAlpha log(AZ)BetaV(Delta, H)CV
  • Maximum vertical VELOCITY amplitude (Az)
  • Delta epicentral distance (km), H focal depth
    (km)
  • BetaV attenuation function depending on Delta
    and H
  • Alpha, CV Constant

Contour representation of BetaV
19
The Tokachi-oki Earthquake in 2003
Integrated displacement from acceleration
Vertical Component of Velocity Seismometer
Seismic wave
Determination of the Hypocenter
20
Seismic Intensity
21
Measurement of Seismic Intensity
Index of of damage
22
Seismic Intensity Meter
Processor
Sensor (Accelerometer)
Printer
Display
Seismic Intensity is calculated on the basis of
amplitude and frequency of acceleration
23
Seismic Intensity Measurement Stations
Total about 4,000
24
JMA Seismic Intensity Scale
25
Emergency Operation by Seismic Intensity
Information
EQ.
Prime Ministers Official Residence Cabinet
Office Defense Agency Japan Coast
Guard Metropolitan Police Department Fire and
Disaster Management Agency NHK, a broadcast
organization
6lower(5upper for Tokyo)
Emergency Assembly team Conference
Estimation of damages
4
Investigation of damages
5lower
Investigation of damages
5lower
Investigation of damages
4
Announcement with TV or Radio
26
Quantitative Tsunami Forecast System
27
Empirical Method (1952 --- 1999)
Tsunami Forecast Chart
Possibility of tsunami generation and its grade
are estimated from the magnitude and hypocenter
using the tsunami forecast chart.
28
Inverse Tsunami Travel Chart
29
Overall Description of Quantitative Tsunami
Forecast System of JMA
Hypoceneter Magnitude
Numerical Simulation
3 minutes
??????
Database
Even a most-advanced computer needs much time to
simulate tsunami propagation!
Tsunami Height Arrival Time
30
Setting Earthquake Parameters to be simulated
Assumed epicenter
Simulation Points about 100,000 Magnitude
5.8,6.2,6.8,7.4,8.0 Depth 0,20,40,60,80,100km
31
Initial Value Setting of Numerical Simulation
Initial shift of sea surface is assumed to be
same as crustal deformation of sea floor
crustal deformation of sea floor
Movement of fault ? Crustal deformation of sea
floor (OKADA 1985) Crustal deformation of sea
floor Initial shift of sea surface
Assigned to numerical simulation as an initial
value
32
Introduction of numerical simulation for
prediction of tsunami
  • Deformation of sea surface
  • Deformation of sea surface deformation of sea
    floor by an earthquake
  • Propagation of tsunami
  • Height at coasts

33
Setting of Fault Parameters
  • Fault Parameters (dependent on Magnitude)
  • Length (L)
  • log L(km)0.5M-1.9
  • Width (W)
  • log W(km)0.5M-2.2
  • Strike (f)
  • along trench or coastline
  • Dip (d)
  • 45 degree ? worst case
  • Slip angle(?)
  • 90 degree ? worst case
  • Slip amount (D)
  • log D(cm)0.5M-3.2

d Depth of fault top edge L Fault Length W
Fault Width D Slip amount f Strike angle
(clockwise from North) d Dip angle ( from
horizontal plane) ? Slip angle (
counterclockwise from horizontal line on the
fault plane )
34
Example of Tsunami Simulation
The Tokachi-oki Earthquake (2003.9.26)
35
Numerical Simulation of Tsunami Propagation
Tsunami Forecast point
Long Wave Theory
Greens law
Taniokas model Consideration of Coriolis force
( Effect of Coriolis force on simulation of
distant tsunami is large enough to be
considered) Simplification of equation of
tsunami propagation wave length gtgt sea depth
gtgt tsunami height ? this relation is not
correct near coast the equation becomes
too complicate to be simulated
36
Estimation of tsunami amplitude at coast
Greens Law
37
Greens Law Derivation of Tsunami Height at
Coast

Tsunami's height is in proportion to a
biquadratic root of water depth's change and in
inverse proportion to a square root of expanse
of wave front. When tsunami get close to coast as
in the left figure, the latter contribution can
be neglected. We assume h equals 1 meter and get
an equation below.
38
Quantitative Tsunami Forecast (1)
Computer simulation of tsunami generation and
propagation
Tsunami Database
Scenarios of tsunami arrival time and height
according to 100,000 different tsunamigenic
earthquakes
39
Quantitative Tsunami Forecast (2)
JMA Seismic Network
Tidal Network
Tsunami Warning
Evaluation of Tsunami
Tsunami Database
?Quantitative Tsunami forecast (arrival time and
Tsunami height) ?Tsunami warning for 66 regions
40
Categories of Tsunami Forecast
66 Tsunami Forecast Regions
41
Tsunami Warning/Advisory issued in 2005
42
Monitoring Room
Operation and maintenance 24 hours a day 7 days
a week
43
Preparation for troubles
  • Duplex System
  • Trouble of power supply (power failure)
  • Uninterruptible power supply system
  • Private power generator

Stand-by
Active
44
Tsunami Observation
45
Tsunami Monitoring Network in Japan
Tide Gauge (Float Type)
Tide Gauge (Acoustic Type)
Huge Tsunami Gauge
Pressure Sensor on Sea Floor
46
2003.9.26 Tokachi-oki earthquake
2003/09/26/ 0450 41? 46.5' N 144? 04.9' E
45km M8.0
M8.0
47
Tsunami heights observed by tide gauge
NEMURO
KUSHIRO
HAKODATE
MUTSU
HACHINOHE
MIYAKO
KAMAISHI
48
Removal of Tide Signal
Removal of Tide Signal
49
Elements to be observed
(1) Arrival Time of Tsunami (2) Amplitude of
Initial Wave (3) Maximum Amplitude
50
Screen image of JMA system for tsunami
observation
Initial wave amplitude
Station Name
Observed Value
Arrival Time
51
Tsunami monitoring (Tsunami Arrival)
Arrival time
Time of maximum tsunami amplitude
Initial Max. amplitude
52
Tsunami monitoring (Maximum amplitude)
Arrival time
Time of maximum Tsunami amplitude
Initial amplitude
Initial Max. amplitude
Max. height
53
Tsunami monitoring (Cancellation)
Cancellation of warnings and advisory at all
coasts
54
(No Transcript)
55
Earthquake Information and Tsunami Warning
Service in Japan
56
Thank you very much.
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