Tsunami propagation modelling – a sensitivity study

Autor: Pavel Tkalich, M. H. Dao
Přispěvatelé: Tropical Marine Science Institute, National University of Singapore (NUS), EGU, Publication
Jazyk: angličtina
Rok vydání: 2007
Předmět:
010504 meteorology & atmospheric sciences
Meteorology
Event (relativity)
0211 other engineering and technologies
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
02 engineering and technology
Variation (game tree)
Curvature
01 natural sciences
lcsh:TD1-1066
14. Life underwater
Sensitivity (control systems)
lcsh:Environmental technology. Sanitary engineering
Dispersion (water waves)
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
lcsh:Environmental sciences
0105 earth and related environmental sciences
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
lcsh:GE1-350
021110 strategic
defence & security studies
[SDU.OCEAN] Sciences of the Universe [physics]/Ocean
Atmosphere
lcsh:QE1-996.5
lcsh:Geography. Anthropology. Recreation
Tsunami propagation
[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces
environment
lcsh:Geology
Nonlinear system
Test case
lcsh:G
[SDU.STU] Sciences of the Universe [physics]/Earth Sciences
General Earth and Planetary Sciences
Geology
Zdroj: Natural Hazards and Earth System Sciences, Vol 7, Iss 6, Pp 741-754 (2007)
Scopus-Elsevier
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, Copernicus Publ. / European Geosciences Union, 2007, 7 (6), pp.741-754
ISSN: 1684-9981
1561-8633
Popis: Indian Ocean (2004) Tsunami and following tragic consequences demonstrated lack of relevant experience and preparedness among involved coastal nations. After the event, scientific and forecasting circles of affected countries have started a capacity building to tackle similar problems in the future. Different approaches have been used for tsunami propagation, such as Boussinesq and Nonlinear Shallow Water Equations (NSWE). These approximations were obtained assuming different relevant importance of nonlinear, dispersion and spatial gradient variation phenomena and terms. The paper describes further development of original TUNAMI-N2 model to take into account additional phenomena: astronomic tide, sea bottom friction, dispersion, Coriolis force, and spherical curvature. The code is modified to be suitable for operational forecasting, and the resulting version (TUNAMI-N2-NUS) is verified using test cases, results of other models, and real case scenarios. Using the 2004 Tsunami event as one of the scenarios, the paper examines sensitivity of numerical solutions to variation of different phenomena and parameters, and the results are analyzed and ranked accordingly.
Databáze: OpenAIRE
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