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Near-Field Modeling of the 1964 Alaska Tsunami: A Source Function Study Elena Suleimani, Natalia Ruppert, Dmitry Nicolsky, and Roger Hansen Alaska Earthquake.

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Presentation on theme: "Near-Field Modeling of the 1964 Alaska Tsunami: A Source Function Study Elena Suleimani, Natalia Ruppert, Dmitry Nicolsky, and Roger Hansen Alaska Earthquake."— Presentation transcript:

1 Near-Field Modeling of the 1964 Alaska Tsunami: A Source Function Study Elena Suleimani, Natalia Ruppert, Dmitry Nicolsky, and Roger Hansen Alaska Earthquake Information Center Geophysical Institute University of Alaska Fairbanks XXIV International Tsunami Symposium Novosibirsk, July 2009

2 Motivation  Most coastal communities in Alaska were affected by the 1964 tsunami. For the purposes of tsunami inundation mapping, it can be considered as a credible worst case scenario for a number of communities.  This event is an excellent field benchmark for numerical modeling studies, since effects of the tsunami are well documented. However, details of co-seismic slip distribution are very crucial for the near-field modeling and analysis.  Existing source functions of the 1964 tsunami allow to use this event as a validation scenario for inundation modeling and mapping of Alaska coastal communities.

3 Tsunami damage:  Alaska: 106 deaths and $84 M  British Columbia: $10 M  Oregon: 4 deaths and $0.7 M  California: 12 deaths and $17 M The M9.2 Great Alaska Earthquake and Tsunami of March 28, 1964  Area of crustal deformation: >256,000 km 2  Rupture duration ~4 min.  Major tectonic tsunami and about 20 local submarine and subaerial landslide tsunamis.

4 Source Function by Johnson et al. (1996)  Joint inversion of the far-field tsunami waveforms (23 tidal stations) and geodetic data (vertical displacements and horizontal vectors).  The source model consisted of 17 subfaults plus one subfault representing the Patton Bay fault (splay fault).  Results support division of the 1964 rupture zone into the Kodiak and PWS blocks. Kodiak asperity is constrained entirely by the tsunami data.

5 Source Function by Ichinose et al. (2007)  Combined least squares inversion of teleseismic P waves, tsunami records (9 tidal stations) and geodetic leveling survey observations.  Multiple time window kinematic rupture model based on Green’s function technique.  Source model consists of 85 subfaults of 50x50 km, and 10 subfaults of 20x20 km representing the Patton Bay fault.  Three regions of major seismic moment release (slip more than twice the average).

6 Source Function by Suito et al. (in review)  A 3-D viscoelastic model was developed together with afterslip model to study postsiesmic deformations of the 1964 earthquake.  The model uses realistic geometry including an elastic slab with very low dip angle.  The model extends the Montague Island splay fault farther along the coast of Kenai Peninsula, and, as a result, slip on megathrust in this region is smaller.

7 Numerical Experiments Model propagation of tsunami waves using different source models. Compare results in the far field (Northern Pacific). Use higher resolution grids in the Gulf of Alaska (near-field) and compare to observations. G. Plafker (1969), Tectonics, USGS Prof. paper 543-I

8 Distribution of Maximum Amplitudes  All sources result in strong directivity of energy radiation towards west coast of the US and Canada, although with slightly different angles.  Coastal areas of southern Alaska, BC, Washington and Oregon show amplitude enhancement in all runs.

9 Far-Field Results  Calculations were performed on a 2 arc-min grid of Northern Pacific.  Arrival times agree very well with tide gauge records.  Amplitudes are generally underestimated, but increasing grid resolution around tide gauges results in better fit to data.

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11  Kodiak and Prince William Sound grids of 8 arc-sec resolution (125m x 245m).  Distribution of maximum amplitudes after an 8-hour model run.  Results are different for all 3 source models. Near-Field Results

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13 Conclusions We modeled the 1964 Alaska tsunami using 3 different source functions and compared results in the far and near fields. The far-field tsunami waveforms produced by all models are very similar, indicating that the far-field results are not very sensitive to fine details of the slip distribution. The near-field modeling results are very different for all 3 models and neither one matches the observations well. More work is needed to decompose source functions and to relate different segments of slip to the near-field observations. Lack of good bathymetry data for Alaska coast makes these modeling attempts of near-field tsunami effects difficult.


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