[3241] | 1 | To initiate the modelling, a triangular mesh is constructed to |
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| 2 | cover the study region which has an area of around 6300 km$^2$. |
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| 3 | The cell size is chosen to balance |
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| 4 | computational time and desired resolution in areas of interest, |
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| 5 | particularly in the interface between the on and offshore. |
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| 6 | Figure \ref{fig:onslow_area} illustrates the data extent for the |
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| 7 | scenario, the study area and where further mesh refinement has been made. |
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| 8 | The choice |
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| 9 | of the refinement is based around the inter-tidal zones and |
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| 10 | other important features such as islands and rivers. |
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| 11 | The study area covers approximately 100km of |
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| 12 | coastline and extends offshore to the 100m contour line and inshore to |
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| 13 | approximately 10m elevation. |
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| 14 | Preliminary investigations indicate that MOST and ANUGA compare |
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[3290] | 15 | well at the 100m contour line. In addition, the resolution for |
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| 16 | the MOST modelling indicate that it can theoretically model |
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| 17 | tsunamis with a wavelength of 20-30km, and the wavelength of |
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| 18 | the tsunami wave at the boundary is approximately 20km. A much |
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| 19 | higher model resolution will be used in developing the probabilistic |
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| 20 | models for further studies. |
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[3241] | 21 | |
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| 22 | \begin{figure}[hbt] |
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| 23 | |
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| 24 | \centerline{ \includegraphics[width=100mm, height=75mm] |
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| 25 | {../report_figures/onslow_data_poly.png}} |
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| 26 | |
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| 27 | \caption{Study area for Onslow scenario highlighting areas of increased |
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| 28 | refinement. |
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| 29 | } |
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| 30 | \label{fig:onslow_area} |
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| 31 | \end{figure} |
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| 32 | |
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| 33 | In addition to refining the mesh in regions where complex behaviour |
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| 34 | will occur, it is important that the mesh also be |
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| 35 | commensurate with the underlying data. Referring to the onshore data |
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| 36 | discussed |
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| 37 | in Section \ref{sec:data}, we choose a cell area of 500 m$^2$ per triangle |
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| 38 | for the region surrounding the Onslow town centre. |
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| 39 | It is worth noting here that the cell |
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| 40 | area will be the maximum cell area within the defined region and that each |
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| 41 | cell in the region does not necessarily have the same area. |
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| 42 | In contrast to the onshore data, the offshore |
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| 43 | data is a series of survey points which is typically not supplied on a fixed |
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| 44 | grid which complicates the issue of determining an appropriate cell area. |
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| 45 | In addition, the data is not necessarily complete, as can be |
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| 46 | seen in Figure \ref{fig:onslow_area}. |
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[3290] | 47 | The remaining cell areas are |
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[3241] | 48 | 2500 m$^2$ for the region surrounding the coast, |
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| 49 | 20000 m$^2$ for the region reaching approximately the 50m contour line, with |
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| 50 | the remainder of the study area having a cell area of 100000 m$^2$. |
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[3290] | 51 | These choice of cell areas are more than adequate to propagate the tsunami wave |
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[3241] | 52 | in the deepest sections of the study area.\footnote{ |
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[3290] | 53 | With a wavelength of 20km, the minimum (square) grid resolution would |
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| 54 | be around 2000m (allowing ten cells per wavelength). |
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| 55 | This results in a square cell area of 4000000 m$^2$ which indicates a minimum |
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| 56 | triangular cell area of 2000000 m$^2$.} |
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[3241] | 57 | The resultant computational mesh is shown in Figure \ref{fig:mesh_onslow}. |
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| 58 | |
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[3268] | 59 | With these cell areas, the study area consists of 401939 triangles |
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[3241] | 60 | in which water levels and momentums are tracked through time. |
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| 61 | The associated lateral accuracy |
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| 62 | for these cell areas is approximatly 30m, 70m, 200m and 445m for the respective |
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| 63 | areas. This means |
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| 64 | that we can only be confident in the calculated inundation extent to |
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| 65 | approximately 30m lateral accuracy within the Onslow town centre. |
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| 66 | |
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| 67 | \begin{figure}[hbt] |
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| 68 | |
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| 69 | \centerline{ \includegraphics[width=100mm, height=75mm] |
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| 70 | {../report_figures/mesh.jpg}} |
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| 71 | |
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| 72 | \caption{Computational mesh for Onslow study area where the |
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| 73 | cell areas increase in resolution; 500 m$^2$, 2500 m$^2$, 20000 |
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| 74 | m$^2$ and 100000 m$^2$.} |
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| 75 | \label{fig:mesh_onslow} |
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| 76 | \end{figure} |
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| 77 | |
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| 78 | To complete the model setup, we illustrate the |
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| 79 | tsunami wave from the earthquake source described |
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| 80 | in Section \ref{sec:tsunamiscenario} which is used as the boundary condition, |
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| 81 | as described in Section \ref{sec:methodology}. |
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| 82 | MOST was used to initiate the event and propagate the wave in deep water. |
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| 83 | ANUGA uses the MOST wave amplitude and velocity at |
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| 84 | the boundary (the 100m contour line as shown in Figure \ref{fig:onslow_area}) |
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| 85 | and continues to propagate the wave in shallow water and onshore. |
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| 86 | To illustrate the form of the tsunami wave, we show the |
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| 87 | tsunami wave moving through the point locations shown in |
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| 88 | Figure \ref{fig:MOSTsolution} as a surface showing the wave's |
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| 89 | amplitude as a function of its spatial location and time. |
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| 90 | This figure shows how the wave has been affected by the bathymetry in |
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| 91 | arriving at these locations as the amplitude is variable. It is also |
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| 92 | important to note that the tsunami is made up of a series of |
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| 93 | waves with different amplitudes. |
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| 94 | |
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| 95 | \begin{figure}[hbt] |
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| 96 | \centering |
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| 97 | \begin{tabular}{cc} |
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| 98 | \includegraphics[width=0.49\linewidth, height=50mm]{../report_figures/point_line_3d.png}& |
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| 99 | \includegraphics[width=0.49\linewidth, height=50mm]{../report_figures/solution_surfaceMOST.png}\\ |
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| 100 | \end{tabular} |
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| 101 | \caption{Point locations used to illustrate the form of the tsunami wave and the |
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| 102 | corresponding surface function.} |
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| 103 | \label{fig:MOSTsolution} |
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| 104 | \end{figure} |
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