HR: 1340h
AN: OS23D-1345    [Abstracts]
TI: Quantifying Tsunami Impact on Structures
AU: * Yalciner, A C
EM: yalciner@metu.edu.tr
AF: Middle East Technical University, Department of Civil Engineering Ocean Engineering Research Center , Ankara, 06531 Turkey
AU: Kanoglu, U
EM: kanoglu@metu.edu.tr
AF: Middle East Technical University, Department of Engineering Sciences, Ankatra, 06531 Turkey
AU: Titov, V
EM: vasily.titov@noaa.gov
AF: Tsunami Research Program Director, TIME Center NOAA/PMEL Tsunami Research Program,TIME Center, NOAA/PMEL Tsunami Research Program Director, TIME Center NOAA/PMEL NOAA/PMEL AU: Gonzalez, F
EM: Frank.I.Gonzalez@noaa.gov
AF: Tsunami Research Program Director, TIME Center NOAA/PMEL Tsunami Research Program,TIME Center, NOAA/PMEL Tsunami Research Program Director, TIME Center NOAA/PMEL NOAA/PMEL AU: Synolakis, C E
EM: costas@usc.edu
AF: School of Engineering, University of Southern California, Los Angeles, CA 90089-2531 United States
AB: Tsunami impact is usually assessed through inundation simulations and maps which provide estimates of coastal flooding zones based on "credible worst case" scenarios. Earlier maps relied on one-dimensional computations, but two-dimensional computations are now employed routinely. In some cases, the maps do not represent flooding from any particular scenario event, but present an inundation line that reflects the worst inundation at this particular location among a range of scenario events. Current practice in tsunami resistant design relies on estimates of tsunami impact forces derived from empirical relationships that have been borrowed from riverine flooding calculations, which involve only inundation elevations. We examine this practice critically. Recent computational advances allow for calculation of additional parameters from scenario events such as the detailed distributions of tsunami currents and fluid accelerations, and this suggests that alternative and more comprehensive expressions for calculating tsunami impact and tsunami forces should be examined. We do so, using model output for multiple inundation simulations of Seaside, Oregon, as part of a pilot project to develop probabilistic tsunami hazard assessment methodologies for incorporation into FEMA Flood Insurance Rate Maps. We consider three different methods, compare the results with existing methodology for estimating forces and impact, and discuss the implications of these methodologies for probabilistic tsunami hazard assessment.
DE: 6615 Legislation and regulation
DE: 4203 Analytical modeling
DE: 4255 Numerical modeling
DE: 4564 Tsunamis and storm surges
DE: 0644 Numerical methods
SC: Ocean Sciences [OS]
MN: 2004 AGU Fall Meeting