Changeset 3390 for production/onslow_2006/report
- Timestamp:
- Jul 20, 2006, 5:54:55 PM (19 years ago)
- Location:
- production/onslow_2006/report
- Files:
-
- 3 edited
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production/onslow_2006/report/anuga.tex
r3375 r3390 7 7 technique belongs to the class of computational fluid dynamic (CFD) 8 8 methods which is based on discretizing the study area in 9 control ''volumes''. The method satisficesconservation10 of mass , momentum and energy and is exactlysatisfied for9 control ''volumes''. The method ensures that conservation 10 of mass and horizontal momentum is satisfied for 11 11 each control volume. 12 12 An advantage of this technique is that the discretization … … 15 15 is treated robustly as part of the numerical scheme.}. 16 16 ANUGA is continually being developed and validated to ensure 17 the modelling approximations reflect new theory or 18 available experimental data sets. 17 the modelling approximations are as accurate as possible. 18 However, model sensitivity to errors in bathymetric data, 19 frictional resistance of the seafloor and the size of the tsunamigenic event are not well understood and the topic of ongoing research. 19 20 As such, the current results are preliminary. 20 21 -
production/onslow_2006/report/data.tex
r3375 r3390 33 33 drainage. In addition, the Department of Land Information (DLI) has provided a 34 34 20m Digital Elevation Model (DEM) and orthophotography 35 covering the NW Shelf. The DTED Level 2 data is ``bare earth'' and36 the DLI datadistorted by vegetation and buildings.35 covering the NW Shelf. The DTED Level 2 data is ``bare earth'' while the 36 DLI data is distorted by vegetation and buildings. 37 37 38 38 Figure \ref{fig:contours_compare}(a) shows the contour lines for 39 39 HAT, MSL and LAT for Onslow using the DTED data where it is evident 40 40 that the extent of the tidal inundation is exaggerated. In particular, 41 parts of Onslow town a re inundated at HAT before a tsunami has41 parts of Onslow town appears to be inundated at HAT before a tsunami has 42 42 even been generated. This is due to 43 43 short comings with the digital elevation model (DEM) created from -
production/onslow_2006/report/modelling_methodology.tex
r3375 r3390 1 GA bases its risk modelling on the process of understanding the hazard and a community's 2 vulnerability in order to determine the impact of a particular hazard event. 3 The resultant risk relies on an assessment of the likelihood of the event. 4 An overall risk assessment for a particular hazard would then rely on scaling 5 each event's impact by its likelihood. 1 2 Geoscience Australia aims to define the economic and social threat posed to urban communities 3 by a range of rapid onset natural hazards. Through the integration of natural hazard research, defining national exposure and 4 estimating socio-economic vulnerabilities, predictions of the likely impacts of events can be made. 5 Hazards include earthquakes, landslides, tsunami, severe winds and cyclones. 6 7 By modelling the likely impacts on urban communities as accurately as possible and 8 building these estimates into land use planning and emergency 9 management, communities will be better prepared to respond to 10 natural disasters when they occur. 11 12 13 %GA bases its risk modelling on the process of understanding the hazard and a community's 14 %vulnerability in order to determine the impact of a particular hazard event. 15 %The resultant risk relies on an assessment of the likelihood of the event. 16 %An overall risk assessment for a particular hazard would then rely on scaling 17 %each event's impact by its likelihood. 6 18 7 19 To develop a tsunami risk assessment, … … 25 37 %\cite{somerville:urs} follow this paradigm. 26 38 27 MOST, which generates and propagates the tsunami wave from its source,is not adequate to39 While MOST is suitable for generating and propagating the tsunami wave from its source, it is not adequate to 28 40 model the wave's impact on communities ashore. 29 41 To capture the \emph{impact} of a tsunami to a coastal community, … … 39 51 coastal community, we use ANUGA \cite{ON:modsim}. In order to capture the 40 52 details of the wave and its interactions, a much finer resolution is 41 required than that of the hazard model. As a result, ANUGA concentrates42 on a specific coastal community. MOST by contrast uses a53 required than that of the hazard model. As a result, ANUGA simulations concentrate 54 on specific coastal communities. MOST by contrast uses a 43 55 coarser resolution and covers often vast areas. To develop the impact 44 56 from an earthquake event from a distant source, we adopt a hybrid approach of … … 46 58 In this way, the output from MOST serves as an input to ANUGA. 47 59 In modelling terms, the MOST output is a boundary condition for ANUGA. 48 60 61 \bigskip %FIXME (Ole): Should this be a subsection even? 49 62 The risk of the scenario tsunami event cannot be determined until the 50 63 likelihood of the event is known. GA is currently building a
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