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TSUNAMI DESIGN
Lessons Learned from the 2011 Tohuku Tsunami



                 Harry Yeh
           Oregon State University




                                 February 2013 EERI Meeting, Seattle
1. Runup Pattern of the 2011 Tohoku Tsunami
Measured Runup Distribution
                                             5907 data points
                                             More than 300 contributors




Red contours: uplift
Blue contours: subsidence
Arrows: sea-floor geodetic observations
PMEL/NOAA’s Work using the DART buoy Data
Sanriku Coast = Rugged coastal line (“Ria Coast”)   >
Sendai plain = flat broad farmland   <
>



    <
        >
            <
2. On Geotechnical Issues
Wharf Foundation Failure in Onagawa




                                      (38̊26.50’N 141̊26.50’E)
Wharf Foundation Failure: in Onagawa

                        The video footage shows that
                        there was no significant
                        visible damage detected prior
                        to the tsunami attack.




                                         (38̊26.50’N 141̊26.50’E)
1
     Quay-wall collapse
    Konakano, Japan: the 1960 Chilean Tsunami.
         4




2




         5
3
1
             Quay-wall collapse
            Konakano, Japan: the 1960 Chilean Tsunami.
                 4




2



                         tion
                     efac
               Liqu
         ntary
    M ome
                 5
3
3. Seawalls and Coastal Dikes
Upright (nearly-vertical) Seawalls
Kirikiri, Iwate Prefecture




       39˚22’15.4”N 141˚56’45.0”E
Kirikiri
                                  Tsunami height: 17.2 m
                                  The crown elevation: 6.3 m




     39˚22’15.4”N 141˚56’45.0”E
Kirikiri
                                       Tsunami height: 17.2 m
                                       The crown elevation: 6.3 m


                  Scour
                                    Flipping failure by the underfoot
                                    rotation




                           Scour



                                   Deep scour hole at the shore side

     39˚22’15.4”N 141˚56’45.0”E
Total failure
Total failure during the drawdown phase.
Hakozaki, Iwate Prefecture




39˚19’24.3”N 141˚54’50.2”E
Hakozaki

                             Tsunami height: 15.4 m.
                             The crown elevation is 5.6 m

                             Seawall with flange
                             The seawall itself was undamaged




39˚19’24.3”N 141˚54’50.2”E
No Failure
Mound-Type Coastal Dikes
Kanahama, Iwate




                  39˚35’33.3”N 141˚56’48.2”E
Kanahama

  Tsunami Height:11.3 m
  The crown height: 8.5 m

The front side is undamaged
Concrete panels on the rear side
were ripped.




         39˚35’33.3”N 141˚56’48.2”E
Kanahama




Elongated scour hole behind the dike




                                       39˚35’33.3”N 141˚56’48.2”E
Damage near the crown




Severe scour hole that could lead to failure
Tsunobeuchi, Fukushima




37˚32.7916N 141˚1.7053E
Tsunobeuchi




   Tsunami Height: 17.2m
   Crown Elevation: 6.2 m

The rear face of this dike was unlined and covered with vegetation. The slope of
this earthen surface is mild. There are scours on the earthen surface but is still in
tact. The slope of the rear surface may play a role in preventing the total failure.

                                                                   37˚32.7916N 141˚1.7053E
Minor damage in spite of the unlined earthen back face
Consideration of the Flow Induced Centrifugal Forces
              − Flow over the crown −
Consideration of the Flow Induced Centrifugal Forces
                     − Flow over the crown −




•  Assume the flow is quasi-steady and irrotational, and forms
   concentric circular streamlines around ‘o’: vs = c/Rs; vb = c/Rb.
•  Assume the flow depth at ‘o’ is critical, hence y0 ≈ 2/3 H
•  vs = 2 g(H − y0 ) along the streamline on the water surface.
⎧2             Rs
    ⎪ 3 H = Rs log R (*)
    ⎪                b

    ⎪              Rs
    ⎨ vb = 3 g H
            2

    ⎪              Rb
    ⎪ p = 1 ρ v2 − 1 ρ v2 + ρ g y
    ⎪ b 2 s 2 b                  0
    ⎩

In Kanahama:
       Tsunami height ~ 11.6 m and the crown elevation ~ 8.5 m.
Hence H ≈ 3 m. If Rb ≈ 1.5 m, we find Rs = 2.95 m from (*).
Then we find pb = – 8.6 kN/m2 or pb/ρg = – 0.88 m of H2O.
This negative pressure can easily lift a concrete slab with 25 cm
thick.
− Flow at the Rear Toe of the Dike −




         Z




•  Again assume the flow is quasi-steady and irrotational and forms
   concentric circular streamlines around ‘t’: v1 = c/R1; vt = c/R.
•  v1 = 2 g(H + z − y1 ) along the streamline on the water surface.
•  y1 = yt;   q= 2H
                 3
                      2
                      3   gH
⎧2                                           R
⎪ 3 H 2 g H = R1 2 g ( H + Z − (R − R1 ) log
       3
                                             R1
⎨
⎪ p = 1 ρ v 2 ⎡1− ( R R )2 ⎤ + ρ g(R − R )
⎩ t 2 1⎣             1     ⎦            1




   Kanahama:
      Tsunami height ~ 11.6 m and the crown elevation ~ 8.5 m.
   Hence H ≈ 3 m. Z = 8.5 m and if R ≈ 2 m, we find R1 = 1.2 m.
   Then pt = 74.8 kN/m2 or p0/ρg =7.62 m of water head.
   This large positive pressure together with vt = 14.5 m/s can
   scoop the soils in the rear toe of the dike: scour.
A preferred seawall design against severe overtopping flows ?




          Small curvature (large radius)



This design concept should be applicable for dikes, seawalls,
levees, and alike for the consideration of overtopping flows
caused by tsunamis, storm surges, or riverine floods.
4. On Casualty
Indication from the Statistics (Suppasri et al. 2011)

                                      2011 Tohoku Tsunami
Indication from the Statistics (Suppasri et al. 2011)




                                    Data from Koshimura of Tohoku University
Indication from the Statistics (Suppasri et al. 2011)




Only trend that we can detect from the figure is that tsunami fatality rate diminishes
when maximum tsunami “height” is less than 1.5 m.
                                                          Data from Koshimura of Tohoku University
Indication from the Statistics (Suppasri et al. 2011)




  Although there is a weak trend that fatality rate increases
  with tsunami’s runup height, the runup height is not the
  primary controlling factor.

  More likely, people’s prior knowledge to tsunami hazard
  (i.e. education), notifications of tsunami warnings and
  their response made the significant difference.




                                           Data from Koshimura of Tohoku University
Development of a Tsunami Risk Assessment Model
                for HAZUS-MH
Methodology Overview – Local EQ Event

    Potential Hazards
                                                                  Local EQ Event
        Earthquake                       Tsunami
          Hazard                          Hazard
         Analysis                        Analysis

    Damage
I
n
v       Earthquake                       Tsunami
e         Damage                          Damage
n
t       Assessment                      Assessment
o
r                    Combined Tsunami
y                     and Earthquake
.                      Damage-State
                       Probabilities
E
x                                                         Impacts
p
o
s                                                            Social
u
r
e
                                               Shelter                Casualty
                                              Estimates               Estimates

                                               Economic                Other

                                             Direct Losses            Debris
Methodology Overview – Distant EQ Event


    Potential Hazards
                                                 Distant EQ Event
                         Tsunami
                          Hazard
                         Analysis

    Damage
I
n
v                        Tsunami
e                        Damage
n
t                       Assessment
o
r
y
.
E
x                                         Impacts
p
o
s                                            Social
u
r
e
                               Shelter                Casualty
                              Estimates               Estimates

                               Economic                Other

                             Direct Losses            Debris
Key Features

•  Probabilistic approach for combining tsunami and earthquake
   damage
•  Hazard → characterized by inundation depth, velocity, and
   momentum flux and to be compatible with NOAA’s SIFT output
•  Damage → performance-based engineering approach
•  Debris → transport model that predicts final position of the debris
   (cars, trucks, shipping containers, boats, building debris)
•  Casualties → model reflects warning time, time of day and time of
   year, evacuation conditions (e.g., rainy and nighttime), community
   characteristics and preparedness, slope of terrain, age, etc.
•  Shelter → model reflects those seeking shelter because of damaged
   homes, flooded roadways, or being ordered to evacuate.

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Lessons Learned from the 2011 Tohuku Tsunami - Harry Yeh

  • 1. TSUNAMI DESIGN Lessons Learned from the 2011 Tohuku Tsunami Harry Yeh Oregon State University February 2013 EERI Meeting, Seattle
  • 2. 1. Runup Pattern of the 2011 Tohoku Tsunami
  • 3. Measured Runup Distribution 5907 data points More than 300 contributors Red contours: uplift Blue contours: subsidence Arrows: sea-floor geodetic observations
  • 4. PMEL/NOAA’s Work using the DART buoy Data
  • 5. Sanriku Coast = Rugged coastal line (“Ria Coast”) >
  • 6. Sendai plain = flat broad farmland <
  • 7. > < > <
  • 9. Wharf Foundation Failure in Onagawa (38̊26.50’N 141̊26.50’E)
  • 10. Wharf Foundation Failure: in Onagawa The video footage shows that there was no significant visible damage detected prior to the tsunami attack. (38̊26.50’N 141̊26.50’E)
  • 11. 1 Quay-wall collapse Konakano, Japan: the 1960 Chilean Tsunami. 4 2 5 3
  • 12. 1 Quay-wall collapse Konakano, Japan: the 1960 Chilean Tsunami. 4 2 tion efac Liqu ntary M ome 5 3
  • 13. 3. Seawalls and Coastal Dikes
  • 15. Kirikiri, Iwate Prefecture 39˚22’15.4”N 141˚56’45.0”E
  • 16. Kirikiri Tsunami height: 17.2 m The crown elevation: 6.3 m 39˚22’15.4”N 141˚56’45.0”E
  • 17. Kirikiri Tsunami height: 17.2 m The crown elevation: 6.3 m Scour Flipping failure by the underfoot rotation Scour Deep scour hole at the shore side 39˚22’15.4”N 141˚56’45.0”E
  • 18.
  • 20. Total failure during the drawdown phase.
  • 22. Hakozaki Tsunami height: 15.4 m. The crown elevation is 5.6 m Seawall with flange The seawall itself was undamaged 39˚19’24.3”N 141˚54’50.2”E
  • 23.
  • 26. Kanahama, Iwate 39˚35’33.3”N 141˚56’48.2”E
  • 27. Kanahama Tsunami Height:11.3 m The crown height: 8.5 m The front side is undamaged Concrete panels on the rear side were ripped. 39˚35’33.3”N 141˚56’48.2”E
  • 28. Kanahama Elongated scour hole behind the dike 39˚35’33.3”N 141˚56’48.2”E
  • 29.
  • 30. Damage near the crown Severe scour hole that could lead to failure
  • 32. Tsunobeuchi Tsunami Height: 17.2m Crown Elevation: 6.2 m The rear face of this dike was unlined and covered with vegetation. The slope of this earthen surface is mild. There are scours on the earthen surface but is still in tact. The slope of the rear surface may play a role in preventing the total failure. 37˚32.7916N 141˚1.7053E
  • 33. Minor damage in spite of the unlined earthen back face
  • 34. Consideration of the Flow Induced Centrifugal Forces − Flow over the crown −
  • 35. Consideration of the Flow Induced Centrifugal Forces − Flow over the crown − •  Assume the flow is quasi-steady and irrotational, and forms concentric circular streamlines around ‘o’: vs = c/Rs; vb = c/Rb. •  Assume the flow depth at ‘o’ is critical, hence y0 ≈ 2/3 H •  vs = 2 g(H − y0 ) along the streamline on the water surface.
  • 36. ⎧2 Rs ⎪ 3 H = Rs log R (*) ⎪ b ⎪ Rs ⎨ vb = 3 g H 2 ⎪ Rb ⎪ p = 1 ρ v2 − 1 ρ v2 + ρ g y ⎪ b 2 s 2 b 0 ⎩ In Kanahama: Tsunami height ~ 11.6 m and the crown elevation ~ 8.5 m. Hence H ≈ 3 m. If Rb ≈ 1.5 m, we find Rs = 2.95 m from (*). Then we find pb = – 8.6 kN/m2 or pb/ρg = – 0.88 m of H2O. This negative pressure can easily lift a concrete slab with 25 cm thick.
  • 37. − Flow at the Rear Toe of the Dike − Z •  Again assume the flow is quasi-steady and irrotational and forms concentric circular streamlines around ‘t’: v1 = c/R1; vt = c/R. •  v1 = 2 g(H + z − y1 ) along the streamline on the water surface. •  y1 = yt; q= 2H 3 2 3 gH
  • 38. ⎧2 R ⎪ 3 H 2 g H = R1 2 g ( H + Z − (R − R1 ) log 3 R1 ⎨ ⎪ p = 1 ρ v 2 ⎡1− ( R R )2 ⎤ + ρ g(R − R ) ⎩ t 2 1⎣ 1 ⎦ 1 Kanahama: Tsunami height ~ 11.6 m and the crown elevation ~ 8.5 m. Hence H ≈ 3 m. Z = 8.5 m and if R ≈ 2 m, we find R1 = 1.2 m. Then pt = 74.8 kN/m2 or p0/ρg =7.62 m of water head. This large positive pressure together with vt = 14.5 m/s can scoop the soils in the rear toe of the dike: scour.
  • 39. A preferred seawall design against severe overtopping flows ? Small curvature (large radius) This design concept should be applicable for dikes, seawalls, levees, and alike for the consideration of overtopping flows caused by tsunamis, storm surges, or riverine floods.
  • 41. Indication from the Statistics (Suppasri et al. 2011) 2011 Tohoku Tsunami
  • 42. Indication from the Statistics (Suppasri et al. 2011) Data from Koshimura of Tohoku University
  • 43. Indication from the Statistics (Suppasri et al. 2011) Only trend that we can detect from the figure is that tsunami fatality rate diminishes when maximum tsunami “height” is less than 1.5 m. Data from Koshimura of Tohoku University
  • 44. Indication from the Statistics (Suppasri et al. 2011) Although there is a weak trend that fatality rate increases with tsunami’s runup height, the runup height is not the primary controlling factor. More likely, people’s prior knowledge to tsunami hazard (i.e. education), notifications of tsunami warnings and their response made the significant difference. Data from Koshimura of Tohoku University
  • 45. Development of a Tsunami Risk Assessment Model for HAZUS-MH
  • 46. Methodology Overview – Local EQ Event Potential Hazards Local EQ Event Earthquake Tsunami Hazard Hazard Analysis Analysis Damage I n v Earthquake Tsunami e Damage Damage n t Assessment Assessment o r Combined Tsunami y and Earthquake . Damage-State Probabilities E x Impacts p o s Social u r e Shelter Casualty Estimates Estimates Economic Other Direct Losses Debris
  • 47. Methodology Overview – Distant EQ Event Potential Hazards Distant EQ Event Tsunami Hazard Analysis Damage I n v Tsunami e Damage n t Assessment o r y . E x Impacts p o s Social u r e Shelter Casualty Estimates Estimates Economic Other Direct Losses Debris
  • 48. Key Features •  Probabilistic approach for combining tsunami and earthquake damage •  Hazard → characterized by inundation depth, velocity, and momentum flux and to be compatible with NOAA’s SIFT output •  Damage → performance-based engineering approach •  Debris → transport model that predicts final position of the debris (cars, trucks, shipping containers, boats, building debris) •  Casualties → model reflects warning time, time of day and time of year, evacuation conditions (e.g., rainy and nighttime), community characteristics and preparedness, slope of terrain, age, etc. •  Shelter → model reflects those seeking shelter because of damaged homes, flooded roadways, or being ordered to evacuate.