Christopher Whitfield's Annotated Bibliography

Algorithims to Assess Tsunami Risk Factors

As a part of Team 5

Updated October 14, 2005

Braddock, R.D.  (2003, February).  Sensitivity Analysis of the Tsunami Warning
Potential.  Reliability Engineering and System Safety, 79, 225-228.


The article discusses the analysis of first-order effects and whether or not an underwater earthquake will generate a tsunami.  It also discusses detectors and how the network working together is vital to the success of said detectors. 


Chasse, J., El-Sabh, MI., Murty, TS.  (1993).  A Numerical Model for
Water Level Oscillations in the St. Lawrence Estuary, Canada.
Part II: Tsunamis.  Marine Geodesy, 16, 125-148. 


This discusses tsunami prediction around the St. Lawrence estuary, using numerical simulations to determine the tsunami risks.


Fukushima, T.  (1987 September).  Rapid Movement Tensor Inversion of
Earthquakes near Japan for Tsunami Warning:  Numerical Experiments. 
Journal of the Seismological Society of Japan, 40, 365-375. 


This article discusses the possibility of using tensor inversion to predict tsunami height after the earthquake has occurred. 


Fulford, Janice M.  (2004).  An Intensity Scale for Riverine Flooding.
Proceedings of the 2004 World Water and Environmetal Resources Congress:
Critical Transitions in Water and Environmetal Resources Management
, 2008-2016.


Although focused on flooding, the flow models discussed in this article may shine some light on similar problems that may arise when predicting tsunami patterns.


Go, C.N., Kaistrenko, V.M., Simonov, K.V.   (1985).  A Two-Parameter Scheme
for Tsunami Hazard Zoning.  Marine Geodesy, 9, 469-476. 


This article examines the tsunami recurrence function, as well as problems with the function's applications. 


Liu, Shiao-Kung.  (1993).  Three-dimensional Modeling of Tides and Wind-Waves.
Proceedings of the National Conference on Hydraulic Engineering, 2, 2301-2306.


The article discusses a couple discrete numerical wave prediction model which can be linked to a hydrodynamic model.  This three dimensional modeling can possibly be applied to tsunami-based algorithms.


Lovholt, Finn., Harbitz, Carl B., Haugen, Kjetil B. (2005 January/February).  A
Parametric Study of Tsunamis Generated by Submarine Slides in the Ormen
Lange/Storegga Area off Western Norway.  Marine and Petroleum Geology, 22,


               Tsunamis are analyzed with a numerical model supplemented by an analytical model.

Mendes, V.L., Baptista, M.A., Miranda, J.M., Miranda, P.M.A.  (1999).  Can
Hydrodynamic Modeling of Tsunami Contribute to Seismic Risk Assessment?
Physics and Chemistry of the Earth Part A: Solid Earth and Geodesy, 24,


This article discusses modeling seismic events, leading to the evaluation of seismic hazards.


Nakamura, S.  (1990).  Secular Upheaval of Datum Level in Relation to
Tsunamigenic Earthquake.  Marine Geodesy, 14, 137-141. 


This article studies the relationship between the annual mean sea level and hazardous tsunamigenic earthquakes in the circum-Pacific seismic zone.  


Nowak, Rachel.  (2005).  Reconstructing a Most Deadly Wave. New Scientist, 185,


Computer Simulation and satellite images are used to reconstruct a tsunami, exploring the possibility of prediction algorithims.



Pelinovsky, E.  (1997 July).  Methods of Calculation of Tsunami Risk. 
1997 Joint Assemblies of the International Association of Meteorology
and Atmospheric Sciences and the International Association for
Physical Sciences of the Oceans. 


This article discusses some possible methods for calculating the risk of a Tsunami both before and during a seismic event.


Pelinovsky, E., Kharif, C., Riabov, I., Francius, M.  (2002). Modeling of
Tsunami Propagation in the Vicinity of the French coast of the Mediterranean.
Natural Hazards, 25, 135-159.


This article discusses modeling tsunamis near the French Mediterranean coast, data that may be applied around the world. 


Perkins, Sid.  (2004).  Killer Waves.  Science News, 165, 152-154.


The article discusses accurate tsunami simulations as a vehicle for reducing the number of unnecessary evacuations.


Rabinovich, A.B., Thomson, R.E., Bornhold, B.D., Fine-I.V., Kulikov-E.A.
(2003).  Numerical Modeling of Tsunamis Generated by Hypothetical Landslides
in the Strait of Georgia, British Columbia.  Pure and Applied Geophysics, 160,


This article uses hypothetical seismic activity to help model tsunami effects. 



Ranquelov, B., Gospodinov,D.  (1995).  Tsunami Vulnerability Modeling for
the Bulgarian Black Sea coast.  Water Science & Technology, 32.


This article explores modeling of the Bulgarian Black Sea coast to allow for the understanding of the vulnerability of the coast. 



Rascon, OA., Villarreal, AG.  (1975).  On A Stochastic Model To Estimate
Tsunami Risk.  Journal of Hydraulic Research, 13, 383-403. 


This is a statistical study of tsunamis that have reached the Mexican Pacific Coast, testing the consistencies between the tsunamis. 


Sato, Hiroaki., Murakami, Hitoshi., Kozuki, Yasunori., Yamamoto, Naoaki. (2003).
Study On Simplified Method of Tsunami Risk Assessment.  Natural Hazards, 29,


A suggestion for a simplified Tsunami risk assessment using seawall height and evacuation time, among other factors. 


Sugimoto, T., Murakami, H., Kozuki, Y., Nishikawa, K., Shimada, T.  (2003).
 A Human Damage Prediction Method for Tsunami Disasters Incorporating
 Evacuation Activities.  Natural Hazards, 29, 585-600.


The article discusses a tsunami damage prediction method employing algorithms for Japanese cities.  


Synolakis, Costas Emmanuel., McCarthy, Dick., Titov, Vasily V., Borrero, Jose.
(1998).  Evaluating the Tsunami Risk in California.  Proceedings of the
Conference on California and the World Ocean, 2
, 1225-1236.


This article examines California's Tsunami risk by using results and advancements in computational methods.



Woo, Gordon., Aspinall, Willy.  (2005).  Need for a Risk-Informed Tsunami Alert
System.  Nature, 433, 457.


This article discusses the need for a Tsunami Alert System that can evaluate the risk at hand and react accordingly.