• Keine Ergebnisse gefunden

UNSTRUCTURED FINITE ELEMENT TSUNAMI MODELING AND ITS APPLICATION IN/FOR INDONESIA (INDIAN OCEAN RIM COUNTRIES) Widodo S. Pranowo

N/A
N/A
Protected

Academic year: 2022

Aktie "UNSTRUCTURED FINITE ELEMENT TSUNAMI MODELING AND ITS APPLICATION IN/FOR INDONESIA (INDIAN OCEAN RIM COUNTRIES) Widodo S. Pranowo"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

ABSTRAKSI

UNSTRUCTURED FINITE ELEMENT TSUNAMI MODELING AND ITS APPLICATION IN/FOR INDONESIA (INDIAN OCEAN RIM COUNTRIES)

Widodo S. Pranowo1,2,3, Jörn Behrens1

1 Alfred Wegener Institute (AWI) for Polar and Marine Research, Bremerhaven, Germany.

2 United Nations University – Institute for Environment and Human Security (UNU-EHS), Bonn, Germany.

3 Ministry of Marine Affairs and Fisheries, Indonesia

Indonesia is a tsunami prone area, having been hit by 6 events within the last 6 years: The Christmas tsunami 26 December 2004 in Aceh (earthquake Mw 9.2) as the biggest in this decade, Nias 28 March 2005 (earthquake Mw 8.7), South Java 17 July 2006 (earthquake Mw 7.7), Bengkulu 12 September 2007 (earthquake Mw 7.7 – 8.4), Toli-toli Northern Sulawesi 17 November 2008 (earthquake Mw 7.6) and Manokwari Papua 4 January 2009 (earthquake Mw 7.3 – 7.6). Many scientists (in Indonesia and from other countries) have been working on investigating, simulating and analysing those events using numerical tsunami modeling tools, which are available as open-source/free-ware or even commercial- ware. Many numerical methods have been applied and are represented in these codes (Finite Difference, Finite Element, and Finite Volume). Gridding methods such as structured and unstructured non-adaptive have been applied. Since 11 November 2008, Indonesia has a sophisticated tsunami early warning system (Ina-TEWS) based on pre-computed simulation results for the database. An unstructured finite element based code developed at Alfred Wegener Institute (TsunAWI) as the official (operational) GITEWS tsunami model and an extended version of TUNAMI (finite difference) model as the contribution by Institut Teknologi Bandung are employed for this purpose as well as for creating hazard maps. Even though both tsunami models have been well tested and validated, they are still having some efficiency problems. TsunAWI suffers from high computational costs, while TUNAMI cannot be easily refined arbitrarily.

To overcome those problems, we conduct further development in unstructured finite element tsunami modeling using adaptive mesh refinement. Similarly, to TsunAWI, the new TsunaFLASH code uses unstructured finite elements with conforming (P1) and non- conforming (P1nc) elements. The objective of developing TsunaFLASH is to improve computational efficiency by avoiding unnecessary calculations and saving computer memory. amatos (Adaptive Mesh generator for ATmosphere and Ocean Simulation) by Behrens et al. (2006) is employed for generating adaptive triangular meshes. In addition to the numerical development, the acquisition of detailed high-resolution bathymetry and topography is a pre-requisite for obtaining accurate and reliable modeling results. This presentation will show: A short introduction of the GITEWS achievements and its role in Ina-TEWS, unstructured finite element tsunami modeling and recent developments using adaptive methods, and some problems that arise during its applications in/for Indonesia and potentially other Indian Ocean rim countries.

Keywords: adaptive mesh refinement, finite element, tsunami modeling, GITEWS

Corresponding Author: widodo.pranowo@awi.de 22

Referenzen

ÄHNLICHE DOKUMENTE

Figure 106: (a) Radial and (b) tangential residual stresses in the turbine disc parallel to the disc axis at a disc radius of R =100 mm determined by neutron diffraction (symbols)

By sampling the statistical model, which contains the variation in shape and bone density across the population, and performing the finite element experiment on

The performance of the model is tested against observational data (the Okushiri test case and the Indian Ocean Tsunami of December 26, 2004) and the analytical

Advanced semi-automatic mesh generation allows for very accurate local resolution along the shore and in regions of interest, while maintaining coarse resolution

Comparison of simulated and observed monthly mean ocean bottom pressure time series at locations on the northern slope of the Atlantic- Indian Ridge (top) and in the Cape Basin

water equations on regular triangular, quadrilateral and hexagonal

Examples of analyses are shown considering a 1:1 slope reinforced by a triangular distribution of tree root blocks where the effect of both additional cohesion and block morphology

Key words: well-balanced schemes, steady states, systems of hyperbolic balance laws, shal- low water equations, evolution Galerkin schemes, finite element schemes,