1 | To set up a model for the tsunami scenario, a study area is first |
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2 | determined. Preliminary investigations have indicated that the |
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3 | output from MOST should be input to ANUGA |
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4 | at the 100m water depth\footnote{ |
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5 | Preliminary investigations indicate that MOST and ANUGA compare |
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6 | well at a water depth of 100 m. In addition, the resolution for |
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7 | the MOST modelling indicate that it can theoretically model a |
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8 | tsunami wave with a wavelength of 20-30 km. The wavelength of |
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9 | the tsunami wave at the boundary in this scenario is approximately 20 km. A much |
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10 | higher model resolution will be used in developing the probabilistic |
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11 | models for further studies so that tsunami waves with shorter wavelengths |
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12 | can be captured.}. Historical run-up heights are |
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13 | of the order of 10 m and we would expect that a tsunami wave |
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14 | would penetrate no higher for this scenario, hence we have |
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15 | bounded our study region at 10m elevation. |
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16 | Current computation requirements define a coastline |
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17 | extent of around 100 km. Therefore, the study area of around 6300 km$^2$ |
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18 | covers approximately 100 km of |
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19 | coastline and extends offshore to the 100m contour line and inshore to |
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20 | approximately 10m elevation. |
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21 | |
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22 | The finite volume technique relies on the construction of a triangular mesh which covers the study region. |
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23 | This mesh can be altered to suit the needs of the scenario in question. The mesh can be refined in areas of |
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24 | interest, particularly in the coastal region where complex behaviour is likely to occur. |
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25 | In setting up the model, the user defines the area of the triangular cells in each region of interest\footnote{Note that the cell |
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26 | area will be the maximum cell area within the defined region and that each |
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27 | cell in the region does not necessarily have the same area.}. |
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28 | The cell areas should not be too small as this will cause unrealisticly long computational time, |
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29 | and not too great as this may inadequately capture important behaviour. |
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30 | %There are no gains in choosing the area to be less than the supporting data. |
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31 | Figure \ref{fig:onslow_area} shows the study area with regions of difference cell areas. The total number |
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32 | of cells is 401939. |
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33 | Lateral accuracy refers to the distance at which we are confident in stating a region is inundated. |
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34 | Figure \ref{fig:onslow_area} shows the maximum triangular cell area and lateral accuracy for each region. |
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35 | Therefore we can only be confident in the calculated inundation extent in the Onslow town centre to within 30 m. |
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36 | |
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37 | |
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38 | \begin{figure}[hbt] |
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39 | |
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40 | \centerline{ \includegraphics[scale=0.15]{../report_figures/onslow_resolution_zones.jpg}} |
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41 | |
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42 | \caption{Study area for Onslow scenario highlighting four regions of increased refinement. |
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43 | Region 1: Surrounds Onslow town centre with a cell area of 500 m$^2$ (lateral accuracy 30 m). |
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44 | Region 2: Surrounds the coastal region with a cell area of 2500 m$^2$ (lateral accuracy 70 m). |
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45 | Region 3: Water depths to the 50m contour line (approximately) with a cell area of 20000 m$^2$ (lateral accuracy 200 m). |
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46 | Region 4: Water depths to the boundary (approximately 100m contour line) with a cell area of 100000 m$^2$ (lateral accuracy 445 m). |
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47 | } |
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48 | \label{fig:onslow_area} |
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49 | \end{figure} |
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50 | |
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51 | %\begin{figure}[hbt] |
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52 | % |
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53 | % \centerline{ \includegraphics[width=100mm, height=75mm] |
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54 | % {../report_figures/mesh.jpg}} |
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55 | |
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56 | % \caption{Computational mesh for Onslow study area where the |
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57 | %cell areas increase in resolution; 500 m$^2$, 2500 m$^2$, 20000 |
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58 | %m$^2$ and 100000 m$^2$.} |
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59 | % \label{fig:mesh_onslow} |
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60 | %\end{figure} |
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61 | |
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62 | The final item to be addressed to complete the model setup is the |
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63 | definition of the boundary condition. As |
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64 | discussed in Section \ref{sec:tsunamiscenario}, a Mw 9 event provides |
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65 | the tsunami source. The resultant tsunami wave is made up of a series |
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66 | of waves with different amplitudes which is affected by the energy |
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67 | and style of the event as well as the bathymetry whilst it travels |
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68 | from its source to Onslow. The amplitude and velocity of each of these |
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69 | waves are then provided to ANUGA as boundary conditions and propagated |
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70 | inshore. |
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71 | %To complete the model setup, we illustrate the |
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72 | %tsunami wave from the earthquake source described |
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73 | %in Section \ref{sec:tsunamiscenario} which is used as the boundary condition, |
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74 | %as described in Section \ref{sec:methodology}. |
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75 | %MOST was used to initiate the event and propagate the wave in deep water. |
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76 | %ANUGA uses the MOST wave amplitude and velocity at |
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77 | %the boundary (the 100m contour line as shown in Figure \ref{fig:onslow_area}) |
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78 | %and continues to propagate the wave in shallow water and onshore. |
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79 | %To illustrate the form of the tsunami wave, we show the |
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80 | %tsunami wave moving through the point locations shown in |
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81 | %Figure \ref{fig:MOSTsolution} as a surface showing the wave's |
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82 | %amplitude as a function of its spatial location and time. |
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83 | %This figure shows how the wave has been affected by the bathymetry in |
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84 | %arriving at these locations as the amplitude is variable. It is also |
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85 | %important to note that the tsunami is made up of a series of |
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86 | %waves with different amplitudes. |
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87 | |
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88 | %\begin{figure}[hbt] |
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89 | % \centering |
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90 | % \begin{tabular}{cc} |
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91 | %\includegraphics[width=0.49\linewidth, height=50mm]{../report_figures/point_line_3d.png}& |
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92 | %\includegraphics[width=0.49\linewidth, height=50mm]{../report_figures/solution_surfaceMOST.png}\\ |
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93 | %(a) & (b) \\ |
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94 | %\end{tabular} |
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95 | % \caption{Point locations used to illustrate the form of the tsunami wave and the |
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96 | %corresponding surface function.} |
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97 | % \label{fig:MOSTsolution} |
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98 | % \end{figure} |
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