DocumentCode :
2913683
Title :
An unstructured normal mode decomposition solver on real ocean topography for the analysis of storm tide hazard
Author :
Sirisup, Sirod ; Kitamoto, Asanobu
Author_Institution :
Large-Scale Simulation Res. Lab., Nat. Electron. & Comput. Technol. Center, Klong Luang Pathumthani, Thailand
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
7
Abstract :
In this study, we have developed an unstructured normal mode decomposition solver based on the finite element method for the purpose of normal mode analysis on natural basins. The normal mode analysis can be used to provide the site-specific storm hazard summary such as storm risk for a given basin. This information can provide a useful guideline during the storm events. The analysis of the two past storm events using the normal modes derived from the solver has been demonstrated in two different locations. The first event is tropical cyclone Linda (1997) in the Gulf of Thailand and the second one is tropical cyclone Melor (2009) in the Ise Bay, Japan. The analysis reveals a relation of the storm forward speed and the storm path to the spatial distribution of leading normal modes. We believe that our results can be used for the analysis of past storm events, and may be applied to future storm events.
Keywords :
finite element analysis; hazards; oceanographic regions; oceanographic techniques; risk analysis; storms; tides; AD 1997; AD 2009; Gulf of Thailand; Ise Bay; Japan; Linda; Melor; finite element method; normal mode analysis; real ocean topography; spatial distribution; storm event analysis; storm risk analysis; storm tide hazard analysis; tropical cyclone; unstructured normal mode decomposition; Eigenvalues and eigenfunctions; Equations; Mathematical model; Sea measurements; Storms; Tides; Tropical cyclones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS, 2012 - Yeosu
Conference_Location :
Yeosu
Print_ISBN :
978-1-4577-2089-5
Type :
conf
DOI :
10.1109/OCEANS-Yeosu.2012.6263405
Filename :
6263405
Link To Document :
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