[2950] | 1 | To initiate the modelling, the computational mesh is constructed to |
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| 2 | cover the available data. The resolution is chosen to balance |
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| 3 | computational time and desired resolution in areas of interest, |
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| 4 | particularly in the interface between the on and offshore. The |
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| 5 | following figure illustrates the data extent for the |
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| 6 | scenario and where further mesh refinement has been made. The choice |
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| 7 | of the refinement is based around the important inter-tidal zones and |
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[2974] | 8 | other important features such as islands and rivers. The most northern |
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| 9 | boundary of the study area is placed approximately around the 100m contour |
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| 10 | line. |
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[2950] | 11 | The resultant computational mesh is then seen in \ref{fig:mesh_onslow}. |
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| 12 | |
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| 13 | \begin{figure}[hbt] |
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| 14 | |
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[2974] | 15 | \centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/onslow_data_poly.png}} |
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[2950] | 16 | |
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| 17 | \caption{Study area for Onslow scenario highlighting areas of increased refinement.} |
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| 18 | \label{fig:onslow_area} |
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| 19 | \end{figure} |
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| 20 | |
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| 21 | |
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| 22 | \begin{figure}[hbt] |
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| 23 | |
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[2974] | 24 | %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} |
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[2950] | 25 | |
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| 26 | \caption{Computational mesh for Onslow study area} |
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| 27 | \label{fig:mesh_onslow} |
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| 28 | \end{figure} |
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| 29 | |
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| 30 | For the simulations, we have chosen a resolution of 500 m$^2$ for the |
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| 31 | region surrounding the Onslow town centre. The resolution is increased |
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| 32 | to 2500 m$^2$ for the region surrounding the coast and further increased |
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[2974] | 33 | to 20000 m$^2$ for the region reaching approximately the 50m contour line. |
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| 34 | The remainder of the study area has a resolution of 100000 m$^2$. |
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| 35 | With these resolutions in place, the study area consists of 440150 triangles. |
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| 36 | The associated accuracy |
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| 37 | for these resolutions is approximatly 22m, 50m, 140m and 315m for the increasing |
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| 38 | resolutions. This means |
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[2950] | 39 | that we can only be confident in the calculated inundation to approximately |
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[2974] | 40 | 22m accuracy within the Onslow town centre. |
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| 41 | This is because ANUGA calculates whether each cell in the triangular |
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[2950] | 42 | mesh is wet or dry. It is important |
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| 43 | to refine the mesh to be commensurate with the underlying data especially in |
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| 44 | those regions where complex behaviour will occur, such as the inter-tidal |
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| 45 | zone and estuaries. |
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| 46 | |
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| 47 | The following subsections detail the time series at select locations |
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| 48 | for high, low and zero tide conditions. These locations have |
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| 49 | been chosen to assist in describing the features of the tsunami wave |
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[2974] | 50 | and the resultant impact ashore. It is evident from \ref{fig:ic_high} |
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| 51 | that the DEM ... |
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[2950] | 52 | |
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[2974] | 53 | \begin{figure}[hbt] |
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| 54 | |
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| 55 | %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} |
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| 56 | |
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| 57 | \caption{Initial condition for mean sea level.} |
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| 58 | \label{fig:ic_zero} |
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| 59 | \end{figure} |
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| 60 | |
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| 61 | \begin{figure}[hbt] |
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| 62 | |
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| 63 | %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} |
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| 64 | |
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| 65 | \caption{Initial condition for lowest astronomical tide.} |
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| 66 | \label{fig:ic_low} |
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| 67 | \end{figure} |
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| 68 | |
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| 69 | \begin{figure}[hbt] |
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| 70 | |
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| 71 | %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} |
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| 72 | |
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| 73 | \caption{Initial condition for highest astronomical tide.} |
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| 74 | \label{fig:ic_high} |
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| 75 | \end{figure} |
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| 76 | |
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| 77 | |
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[2950] | 78 | What are the features of the tsunami wave? |
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| 79 | direction? multiple waves? amplitude offshore? |
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| 80 | |
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| 81 | It is evident for each simulation that the sand dunes west of Onslow |
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| 82 | are very effective in halting the tsunami wave. The height of these |
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| 83 | sand dunes are approximately 10m which is more than enough to halt |
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| 84 | the largest of the tsunami waves which occurs for the |
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| 85 | high tide simulation. There is inundation between the sand dunes at high |
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| 86 | tide, however, this water penetrated from the north east (via |
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| 87 | Onslow town cetnre) rather than seaward. |
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| 88 | The same feature is evident for the sand dunes east of Onslow which |
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| 89 | rise to 15m in height. Currently, ANUGA can not model changes |
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| 90 | to the bathymetry or topography due to effects of the water flow. |
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| 91 | Therefore, we do not know whether these sand dunes would withstand the |
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| 92 | transmitted energy of the tsunami wave. |
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| 93 | |
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| 94 | The wave penetrates the river east of Onslow with increasingly |
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| 95 | greater inundation as the tide changes from LAT to HAT. |
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| 96 | |
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| 97 | As expected, there is greater inundation at high tide. The major road |
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| 98 | into Onslow, the Onslow Mount Stuart Rd, remains free of inundation for |
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| 99 | all tidal scenarios. Beadon Creek Rd which services the wharf in the |
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| 100 | river becomes increasingly inundated as the tide rises. Only the |
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| 101 | entry to the wharf on Beadon Creek Rd is sufficiently inundated at LAT |
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| 102 | to stop traffic. At HAT however, essentially the entire road |
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| 103 | would be impassable. |
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| 104 | |
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| 105 | There is significant inundation of at |
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| 106 | least 2m on the foreshore of Onslow for zero and high tide. |
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| 107 | The inundation extent increases as the tide rises, pushing the edges |
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| 108 | of the majority of the road infrastructure in the Onslow town centre. |
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