Changeset 3364
- Timestamp:
- Jul 19, 2006, 8:23:41 AM (19 years ago)
- Location:
- production/pt_hedland_2006/report
- Files:
-
- 4 added
- 1 deleted
- 12 edited
Legend:
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production/pt_hedland_2006/report/HAT_map.tex
r2983 r3364 1 \begin{ figure}[hbt]1 \begin{sidewaysfigure} 2 2 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.jpg}} 3 \caption{Maximum inundation map for highest astronomical tide for Pt Hedland region (in m).}3 \caption{Maximum inundation map for HAT scenario for Pt Hedland region (in m). Data: WA DLI, DPI and AHO.} 4 4 \label{fig:HAT_max_inundation} 5 \end{ figure}5 \end{sidewaysfigure} -
production/pt_hedland_2006/report/LAT_map.tex
r2983 r3364 1 \begin{ figure}[hbt]1 \begin{sidewaysfigure} 2 2 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.jpg}} 3 \caption{Maximum inundation map for lowest astronomical tide for Pt Hedland region (in m).}3 \caption{Maximum inundation map for LAT scenario for Port Hedland region (in m). Data: WA DLI, DPI and AHO.} 4 4 \label{fig:LAT_max_inundation} 5 \end{ figure}5 \end{sidewaysfigure} -
production/pt_hedland_2006/report/MSL_map.tex
r2983 r3364 1 \begin{ figure}[hbt]1 \begin{sidewaysfigure}[hbt] 2 2 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.jpg}} 3 \caption{Maximum inundation map for mean sea level for Pt Hedland region (in m).}3 \caption{Maximum inundation map for MSL scenario for Port Hedland region (in m). Data: WA DLI, DPI and AHO.} 4 4 \label{fig:MSL_max_inundation} 5 \end{ figure}5 \end{sidewaysfigure} -
production/pt_hedland_2006/report/anuga.tex
r3082 r3364 1 2 The software tool, ANUGA \cite{ON:modsim}, has been used to developthe inundation extent3 and associated water heightat various points in space and time.1 The software tool, ANUGA \cite{ON:modsim}, has been used to estimate 2 the inundation extent 3 and associated water level at various points in space and time. 4 4 ANUGA has been developed by GA and the Australian National University 5 5 (ANU) to solve the nonlinear shallow water 6 wave equation using the finite volume technique. 7 An advantage of this technique is that the cell area can be changed 6 wave equation using the finite volume technique\footnote{The finite volume 7 technique belongs to the class of computational fluid dynamic (CFD) 8 methods which is based on discretizing the study area in 9 control ''volumes''. The method satisfices conservation 10 of mass, momentum and energy and is exactly satisfied for 11 each control volume. 12 An advantage of this technique is that the discretization 13 can be changed 8 14 according to areas of interest and that wetting and drying 9 is treated robustly as part of the numerical scheme. 10 ANUGA is continually being developed and validated. 11 As such, the current results represent ongoing work 12 and may change in the future. 15 is treated robustly as part of the numerical scheme.}. 16 ANUGA is continually being developed and validated to ensure 17 the modelling approximations reflect new theory or 18 available experimental data sets. 19 As such, the current results are preliminary. 13 20 14 The following set of information is required to undertake the tsunami15 inundation modelling; .21 The following information is required to undertake the 22 inundation modelling; 16 23 17 24 \begin{itemize} 18 25 \item onshore and offshore elevation data (topographic and bathymetric data, 19 see Section \ref{sec:data}) 20 \item initial condition (e.g. determined by tides) 21 \item boundary condition (the tsunami source as described in 22 Section \ref{sec:tsunami_scenario}) 26 see Section \ref{sec:data}), 27 \item initial conditions, such as initial water levels (e.g. determined by tides), 28 \item boundary conditions (the tsunami source as described in 29 Section \ref{sec:tsunamiscenario}), and 30 \item computational requirements relating to the mesh construction. 23 31 \end{itemize} 24 32 25 This is because ANUGA calculates whether each cell in the triangular 26 mesh is wet or dry and does not consider partially wetted cells. 27 It is important 28 to refine the mesh to be commensurate with the underlying data especially in 29 those regions where complex behaviour will occur, such as the inter-tidal 30 zone and estuaries. 33 As part of the CRA, it was decided to provide results for the 34 extremes of the tidal regimes to understand the potential range of impacts 35 from the event. In this study, we used the Australian Height Datum (AHD) 36 as the vertical datum. Mean Sea Level (MSL) is approximately equal to 37 0m AHD with the Highest Astronomical Tide (HAT) 38 and Lowest Astronomical Tide (LAT) defined as 1.5m AHD 39 and -1.5m AHD respectively for Onslow, \cite{antt:06}. 40 These values are tidal 41 predictions based on continous tidal observations from Standard Ports 42 over a period of 43 at least one year, with the Australian Hydrographic Service 44 recommending this be extended to three years to capture 45 changes to the mean sea level. Onslow is listed as 46 a Standard Port. As an aside, current work at GA is 47 extracting information from LANDSAT imagery to reconstruct the 48 tidal variations for various WA locations. Future modelling of 49 these areas will incorporate this information. 31 50 32 In modelling the tsunami wave in deep water, 33 it is suggested that the minimum model resolution 34 be such so that there are at least 35 ten cells per wavelength (this usually refers to modelling in a finite 36 difference environment which typically work on a fixed grid). The modelling 37 undertaken to develop the preliminary hazard map typically used a 38 resolution of blah m as sunamis typically have very long wavelengths. 51 The initial conditions used for this scenario are MSL, HAT and LAT. 52 The dynamics of 53 tidal effects (that is, the changes in water height over time for 54 the entire study area) are not currently modelled. 55 Sea floor friction will generally provide resistance to the water flow 56 and thus reduce the impact somewhat. However, limited 57 research has been carried out to determine 58 the friction coefficients, and 59 thus it has not been incorporated 60 in the scenario presented in this report. The 61 results are therefore likely to be over estimations. 39 62 40 -
production/pt_hedland_2006/report/computational_setup.tex
r3024 r3364 1 To initiate the modelling, the computational mesh is constructed to 2 cover the available data. The resolution is chosen to balance 3 computational time and desired resolution in areas of interest, 4 particularly in the interface between the on and offshore. he 5 following figure illustrates the data extent for the 6 scenario and where further mesh refinement has been made. The choice 7 of the refinement is based around the important inter-tidal zones and 8 other important features such as islands and rivers. 9 The resultant computational mesh is then seen in \ref{fig:mesh_onslow} 10 which has an area of around ? km$^2$. 11 In contrast to the Onslow study, the most northern 12 boundary of the study area is placed approximately around the 50m contour 13 line. The driver for this change was the computational time taken to 14 develop the mesh and associate the points to that mesh. By comparison, the 15 100m contour for the Onslow study is approximately 100km from the coast, 16 with that distance approximately 200km for Pt Hedland. The increased 17 study area (from 6300 km$^2 for Onslow to 24400 km$^2 for Pt Hedland) 18 then increases the number of triangles, thereby increasing 19 the computational time. It would be possible to increase the cell resolution 20 to minimise the number of triangles, however, the cell resolution would have 21 to be raised to an unacceptable level. 22 However, initial comparisons between the deep water model MOST (Method of 23 Splitting Tsunami) and ANUGA show that they are reasonably well matched 24 to the 50m contour line. More detailed investigations are necessary to 25 confirm this position as the point may be dependent on the local bathymetry. 1 To set up a model for the tsunami scenario, a study area is first 2 determined. Preliminary investigations have indicated the point 3 at which the output from MOST is the input to ANUGA is 4 sufficient at the 100m bathymetric contour line\footnote{ 5 Preliminary investigations indicate that MOST and ANUGA compare 6 well at the 100m contour line. In addition, the resolution for 7 the MOST modelling indicate that it can theoretically model 8 tsunamis with a wavelength of 20-30km, and the wavelength of 9 the tsunami wave at the boundary is approximately 20km. A much 10 higher model resolution will be used in developing the probabilistic 11 models for further studies.}. Historical runup heights are 12 of the order of 10m and we would expect that a tsunami wave 13 would penetrate no higher for this scenario. 14 Current computation requirements define a coastline 15 extent of around 100km. Therefore, the study area of around 6300 km$^2$ 16 covers approximately 100km of 17 coastline and extends offshore to the 100m contour line and inshore to 18 approximately 10m elevation. 19 20 The finite volume technique relies on the construction of a triangular mesh which covers the study region. This mesh can be altered to suit the needs of the scenario in question. The mesh can be refined in areas of interest, particularly in the coastal region where the complex behaviour is likely to occur. In setting up the model, the user defines the area of the triangular cells in each region of interest\footnote{Note that the cell 21 area will be the maximum cell area within the defined region and that each 22 cell in the region does not necessarily have the same area.}. 23 The area should not be too small as to exceed realistic computational time, and not too great as to inadequately capture important behaviour. There are no gains in choosing the area to be less than the supporting data. 24 Figure \ref{fig:pt_hedland_area} shows the study area and where further mesh refinement has been made. For each region, a maximum triangular cell area is defined and its associated lateral accuracy. 25 With these cell areas, the study area consists of 401939 triangles 26 in which water levels and momentums are tracked through time. The lateral accuracy refers to the distance at which we are confident in stating a region is inundated. Therefore we can only be confident in the calculated inundation extent in the Port Hedland town centre to within 30m. 26 27 27 28 \begin{figure}[hbt] … … 30 31 {../report_figures/pt_hedland_data_poly.png}} 31 32 32 \caption{Study area for Pt Hedland scenario} 33 \label{fig:pthedland_area} 33 \caption{Study area for the Port Hedland scenario highlighting four regions of increased refinement. 34 Region 1: Surrounds Port Hedland town centre with a cell area of 500 m$^2$ (lateral accuracy 30m). 35 Region 2: Surrounds the coastal region with a cell area of 2500 m$^2$ (lateral accuracy 70m). 36 Region 3: Water depths to the 50m contour line (approximately) with a cell area of 20000 m$^2$ (later accuracy 200m). 37 } 38 \label{fig:pt_hedland_area} 34 39 \end{figure} 35 36 40 37 41 \begin{figure}[hbt] 38 42 39 %\centerline{ \includegraphics[width=100mm, height=75mm]{}} 43 \centerline{ \includegraphics[width=100mm, height=75mm] 44 {../report_figures/mesh.jpg}} 40 45 41 \caption{Computational mesh for Pt Hedland study area} 42 \label{fig:meshpthedland} 46 \caption{Computational mesh for Port Hedland study area where the 47 cell areas increase in resolution; 500 m$^2$, 2500 m$^2$, 20000 48 m$^2$ and 100000 m$^2$.} 49 \label{fig:mesh_pt_hedland} 43 50 \end{figure} 44 51 45 For the simulations, we have chosen a resolution of 500 m$^2$ for the 46 region surrounding the Pt Hedland town centre. The resolution is increased 47 to 2500 m$^2$ for the region surrounding the coast and further increased 48 to 100000 m$^2$ for the region reaching approximately the 50m contour line. 49 With these resolutions in place, the study area consists of ? triangles. 50 The associated accuracy 51 for these resolutions is approximatly 22m, 50m, and 315m for the increasing 52 resolutions. This means 53 that we can only be confident in the calculated inundation to approximately 54 22m accuracy within the Pt Hedland town centre. 55 This is because ANUGA calculates whether each cell in the triangular 56 mesh is wet or dry. It is important 57 to refine the mesh to be commensurate with the underlying data especially in 58 those regions where complex behaviour will occur, such as the inter-tidal 59 zone and estuaries. 60 61 Whilst friction has been incorporated into the model, we have not 62 implemented it here. 63 We have an outstanding issue with regard how friction is 64 modelled which is not yet resolved. 52 The final item to be addressed to complete the model setup is the 53 definition of the boundary condition. As 54 discussed in Section \ref{sec:tsunamiscenario}, a Mw 9 event provides 55 the tsunami source. The resultant tsunami wave is made up of a series 56 of waves with different amplitudes which is affected by the energy 57 and style of the event as well as the bathymetry whilst it travels 58 from its source to Port Hedland. The amplitude and velocity of each of these 59 waves are then provided to ANUGA as boundary conditions and propagated 60 inshore. -
production/pt_hedland_2006/report/damage.tex
r3024 r3364 1 In this report, impact modelling refers to casualties and 2 damage to residential buildings as a result 3 of the inundation described in Section \ref{sec:results}. It is assumed 4 that the event occurs at night. 5 Exposure data are sourced from the National Building Exposure Database (NBED), 6 developed by GA\footnote{http://www.ga.gov.au/urban/projects/ramp/NBED.jsp}. 7 It contains information about residential buildings, people and the 8 cost of replacing buildings and contents. 1 9 2 This section deals with modelling the damage to infrastructure as a result 3 of the inundation described in the previous sections. 4 The National Building Exposure Database (NBED) has been 5 created by Geoscience Australia so that consistent risk assessments for a range 6 of natural hazards can be conducted 7 \footnote{http://www.ga.gov.au/urban/projects/ramp/NBED.jsp}. 8 The NBED contains information 9 about buildings, people, infrastructure, structure value and building contents. 10 It is important to note here that the NBED contains information about 11 residential structures only. From this database, we find that there 12 are 13425 residential structures and a population of approximately 41850 13 in Pt Hedland \footnote{Population is determined by census data and an 14 ABS housing survey). 10 To develop building damage and casuality estimates, 11 residential collapse vulnerability models and casualty models were developed. 12 The vulnerability models have been developed for 13 framed residential construction using data from the Indian Ocean tsunami event. The models predict the collapse 14 probability for an exposed population and incorporates the following 15 parameters known to influence building damage \cite{papathoma:vulnerability}, 15 16 16 Once the maximum inundation is calculated for each building, the resultant 17 damage 18 can then be determined as a function of its type and location from the 19 coastline, \ref{ken:damage}. 17 \begin{itemize} 18 \item inundation depth at building 19 \item distance from the coast 20 \item building material (residential framed construction) 21 \item inundation depth in house above floor level 22 \end{itemize} 20 23 21 Impact on indigeneous communities are important considerations when determining 22 tsunami impact, especially as a number of communities exist in coastal regions. 23 These communities are typcially not included in national residential 24 databases and 25 would be therefore overlooked in damage model estimates. 24 The collapse vulnerability models used are presented in Table \ref{table:collapse}. 25 %In applying the model, all structures in the inundation zone were 26 %spatially located and the local water depth and building row 27 %number from the exposed edge of the suburb were determined for each %structure. 28 29 Casualty models were based on the 30 storm surge models used for the Cairns Cyclone Scenario and 31 through consultation with Dr David Cooper of NSW Health, \cite{cooper:2005}. 32 The injury probabilities for exposed populations were determined 33 based on the nocturnal nature of the event, the collapse outcome 34 for the structure, the water depth with respect to 35 sleeping height (1.0 m) and the limited warning noise for people 36 in the first three city blocks (six house rows) that could potentially 37 awaken them. The three injury categories correspond with the 38 categories presented in HAZUS-MH \cite{NIBS:2003} for earthquake 39 related injury. The casualty model used is presented in Table 40 \ref{table:casualty} 41 and the injury categories are presented in Table \ref{table:injury}. 42 Input data comprised of resident population data at census 43 district level derived from the ABS 2001 Census. 44 45 From this database, we find that there 46 are ? residential structures and a population of approximately ? 47 in Port Hedland\footnote{Population is determined by census data and the 1999 48 ABS housing survey}. 49 The damage to the residential structures in the Onslow community 50 is summarised in Table \ref{table:damageoutput}. The percentage 51 of repair cost to structural value shown is based on the total structural value 52 of \$60M. Likewise, the percentage of contents loss shown is 53 based on the total contents value of \$85M for 54 the Onslow region. 55 %The injuries sustained is summarised in Table \ref{table:injuries}. 56 The HAT scenario is the only scenario to cause damage 57 to Onslow with around 10-15\% of the population affected. 58 59 \begin{table}[h] 60 \begin{center} 61 \caption{Residential damage sustained for the MSL, HAT and LAT scenarios.} 62 \label{table:damageoutput} 63 \begin{tabular}{|l|l|l|l|l|l|l|}\hline 64 &Houses & Houses & Structural & Repair Cost \% & Contents & Contents Loss \% \\ 65 &Inundated & Collapsed & Repair Cost 66 & of Total Value & Losses & of Total Value \\ \hline 67 %MSL & & 1 & \$ & \% & \$ & \% \\ \hline 68 HAT 68& 1&\$6M & &\$13M & & \\ \hline 69 %LAT & & & & & & \\ \hline 70 \end{tabular} 71 \end{center} 72 \end{table} 73 74 %\begin{table}[h] 75 %\begin{center} 76 %\caption{Injuries sustained for the MSL, HAT and LAT scenarios.} 77 %\label{table:injuries} 78 %\begin{tabular}{|l|l|l|l|l|l|}\hline 79 %&Minor & Moderate & Serious & Fatal \\ \hline 80 %MSL & & & & \\ \hline 81 %HAT & & & & \\ \hline 82 %LAT & & & & \\ \hline 83 %\end{tabular} 84 %\end{center} 85 %\end{table} 86 87 Tsunami impact on indigeneous communities should be considered 88 especially as a number of communities exist in coastal regions of north west WA. 89 These communities are typically not included in national residential databases 90 and would be therefore overlooked in damage model estimates. 91 26 92 There are four indigeneous communities located in this study area as seen 27 93 in \ref{fig:communities}. The community located in a potentially vulnerable 28 94 position 29 95 (on the headland) is Tjalka Boorda whose population is not registered. 96 97 During the HAT scenario, over ?m of water will inundate parts of the community causing significant impact? 30 98 31 99 \begin{figure}[hbt] … … 46 114 \end{tabular} 47 115 \end{center} 116 117 118 -
production/pt_hedland_2006/report/data.tex
r3024 r3364 1 1 The calculated run-up height and resulting inundation ashore is determined by 2 the input topographic and bathymetric data, the forcing terms, the3 initial and boundary conditions, as well as the cell resolution. It4 would be ideal if the data adequately captures all complex features 5 of the underlying bathymetry and topography and that the cell 6 resolution be commensurate with the underlying data. Any limitations7 in t erms of resolution and accuracy inthe data will introduce8 errors to the inundation maps as well as the range of model approximations,9 including the cell resolution.2 the input topographic and bathymetric elevation, the forcing terms, the 3 initial and boundary conditions, as well as the cell area of the computational 4 mesh. 5 Ideally, the data should adequately capture all complex features 6 of the underlying bathymetry and topography. Any limitations 7 in the resolution and accuracy of the data will introduce 8 errors to the inundation maps, in addition to the range of approximations 9 made within the model. 10 10 11 A number of sources have supplied data for this study. With11 Data for this study have been sourced from a number of agencies. With 12 12 respect to the onshore data, the Defence Imagery and Geospatial 13 Organisation (DIGO) supplied the DTED (Digital Terrain Elevation 14 Data) Level 2 data which has been authorised for Australian Tsunami 15 Warning System use only. This data has a resolution of 1 second 16 (about 30 metres), produced from 1:50 000 contours, elevations and 17 drainage. The Department of Land Information (DLI) has provided a 18 20m DEM and orthophotography covering the NW Shelf. As the 30m 19 DTED Level 2 data is bare earth we have chosen to use this as 20 the onshore data set. 13 Organisation (DIGO) supplied the Digital Terrain Elevation 14 Data Level 2 (DTED) which has been authorised for Australian Tsunami 15 Warning System use only. The resolution of this data is 1 second 16 (about 30 metres), and has been produced from 1:50 000 contours, elevations and 17 drainage. In addition, the Department of Land Information (DLI) has provided a 18 20m Digital Elevation Model (DEM) and orthophotography 19 covering the NW Shelf. The DTED Level 2 data is ``bare earth'' and 20 the DLI data distorted by vegetation and buildings. 21 22 Figure \ref{fig:contours_compare}(a) shows the contour lines for 23 HAT, MSL and LAT for Port Hedland using the DTED data where it is evident 24 that the extent of the tidal inundation is exaggerated. This is due to 25 short comings with the digital elevation model (DEM) created from 26 the DTED data. 27 Figure \ref{fig:contours_compare}(b) shows 28 the contour lines for HAT, MSL and LAT for Port Hedland using the WA DLI data. 29 It is obvious that there are significant differences in each DEM with 30 total station survey information and the knowledge 31 of the HAT contour line pointing to increased confidence in the WA DLI 32 data over the DTED data for use in the inundation modelling. 33 The impact difference based on these two onshore data sets 34 will be discussed in Section \ref{sec:issues}. 35 36 37 \begin{figure}[p] 38 \center{(a)} 39 \centerline{ \includegraphics[width=150mm, height=100mm] 40 {../report_figures/pt_hedland_dted_contour.jpg}} 41 42 % \caption{Port Hedland region showing the -1.5m AHD (LAT), 0m AHD (MSL) 43 %and -1.5m AHD (LAT) contour lines using the DTED Level 2 data.} 44 % \label{fig:contours_dted} 45 %\end{figure} 46 47 %\begin{figure}[hbt] 48 \center{(b)} 49 \centerline{ \includegraphics[width=150mm, height=100mm] 50 {../report_figures/pt_hedland_dli_contour.jpg}} 51 52 \caption{Port Hedland region showing the -1.5m AHD (LAT), 0m AHD (MSL) 53 and 1.5m AHD (HAT) contour lines using the (a) DTED Level 2 data and 54 the (b) WA DLI data.} 55 % \label{fig:contours_dli} 56 \label{fig:contours_compare} 57 \end{figure} 21 58 22 59 With respect to the offshore data, the Department of Planning and 23 Infrastructure have provided state digital fairsheet data around 24 Onslow. This data covers only a very small geographic area. (Note, 25 similar data has also been provided for Broome.) The Port Hedland 26 Port Authority has provided digital data from a multibeam survey of 27 the Port Hedland channel. The Australian Hydrographic Office 28 fairsheet data has also been utilised. 60 Infrastructure (DPI) have provided state digital fairsheet data around 61 Port Hedland. This data cover only a very small geographic area. (Note, 62 similar data have been provided by DPI for Onslow and Broome.) 63 The Australian Hydrographic Office (AHO) has supplied extensive 64 fairsheet data which has also been utilised. In contrast to the onshore data, the offshore data is a series of survey points which is typically not supplied on a fixed grid. In addition, offshore data typically does not have the coverage of the onshore data, and often the offshore data will have gaps where surveys have not been conducted. 65 The coastline has been generated by 66 using the aerial photography and two detailed surveys provided 67 by WA DPI. 68 The WA DLI data surrounding the coast are error prone and 69 have been clipped at the derived coastline. 70 Appendix \ref{sec:metadata} provides more details and the supporting metadata 71 for this study. 72 Table \ref{table:data} summarises the available data for this study. 73 Figure \ref{fig:pthedlanddataarea} shows the offshore data indicating a number of gaps. 29 74 30 In summary, 31 75 \begin{table} 76 \caption{Available data for the North West shelf tsunami inundation studies.} 77 \label{table:data} 32 78 \begin{center} 33 79 \begin{tabular}{|l|l|}\hline … … 35 81 DIGO DTED Level 2 & Onshore, 1 second $\approx$ 30m \\ \hline 36 82 DLI & Onshore, 20m DEM and orthophotography \\ \hline 37 \hline DPI & Offshore, fairsheet data around Onslow \\ \hline 38 \hline Pt Hedland Port Authority \hspace{.3in} & Offshore, 39 digital multibeam survey 40 \\ \hline 83 DPI & Offshore, fairsheet data around Port Hedland \\ \hline 84 AHO & Offshore, fairsheet data for North West Shelf region \\ \hline 41 85 \end{tabular} 42 86 \end{center} 43 44 The coastline has been generated from the DIGO DTED Level 2 and modified 45 using the aerial photography and the two detailed surveys provided 46 by WA Department of Planning and Infrastructure. 47 48 The extent of the 49 data used for the tsunami impact modelling can be seen in the 50 following figure. The study area covers approximately 100km of coastline 51 and extends offshore to the 100m contour line and inshore to approximately 10m 52 elevation. 53 87 \end{table} 54 88 55 89 \begin{figure}[hbt] 56 90 57 \centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/pt_hedland_data_extent.png}} 91 \centerline{ \includegraphics[width=100mm, height=75mm] 92 {../report_figures/pt_hedland_data_extent.png}} 58 93 59 \caption{Data extent for P t Hedland scenario. Offshore data shown in blue and onshore data60 in green.}61 \label{fig:pt _hedland_data_area}94 \caption{Data extent for Port Hedland scenario. Offshore data shown in blue 95 and onshore data in green.} 96 \label{fig:pthedlanddataarea} 62 97 \end{figure} 63 98 64 Section \ref{sec:metadata} outlines the metadata for data used for 65 this study. 99 100 \pagebreak 66 101 67 102 -
production/pt_hedland_2006/report/interpretation.tex
r3015 r3364 1 %\clearpage 2 The following subsections detail the time series at the locations 3 described in the previous table 4 %table \ref{table:gaugelocations} 5 for Highest Astronomical Tide (HAT), Lowest Astronomical Tide (LAT) and 6 Mean Sea Level (MSL) conditions. These locations 7 have been chosen to assist in describing the features of the tsunami wave 8 and the resultant impact ashore. Here, we assume that MSL coincides with 9 AHD zero. This is a standard assumption and confirmed with the WA DPI. 10 The graph ranges for both stage and 11 velocity are made consistent for each of comparison. In addition, velocities 12 under 0.001 m/s are not shown. As a useful benchmark, the following table 1 The main features of the 2 tsunami wave and resultant impact ashore is described in this section. 3 We have 4 chosen a number of locations which we believe would be important 5 in an emergency situation, such as the hospital and power station, or 6 effect recovery efforts, such as the airport and docks. These locations 7 are described in Table \ref{table:locations} and shown in 8 Figure \ref{fig:points}. The water's stage and speed are shown 9 as a function of time in the series of graphs shown in 10 Appendix \ref{sec:timeseries}. Stage is defined as the absolute 11 water level relative to AHD. Both stage and speed are shown 12 on consistent scales to allow comparison between point locations. 13 %The graphs show these time series for 14 %the three cases; 1.5m AHD, 0m AHD and -1.5m AHD so that comparisons can 15 %be made. 16 As a useful benchmark, Table \ref{table:speedexamples} 13 17 describes typical examples for a range of velocities found in the 14 18 simulations. 15 19 16 20 \begin{table} 17 \ label{table:speed_examples}21 \begin{center} 18 22 \caption{Examples of a range of velocities.} 19 \ begin{center}23 \label{table:speedexamples} 20 24 \begin{tabular}{|l|l|}\hline 21 Velocity (m/s) & Example\\ \hline25 {\bf Velocity (m/s)} & {\bf Example} \\ \hline 22 26 1 & leisurely stroll pace\\ \hline 23 27 1.5 & average walking pace \\ \hline 24 2 & 100m Olympic male freestyle \\ \hline25 3 & mackeral \\ \hline28 %2 & 100m Olympic male freestyle \\ \hline 29 %3 & mackeral \\ \hline 26 30 4 & average person maintain for 1000m \\ \hline 27 5 & blue whale \\ \hline31 %5 & blue whale \\ \hline 28 32 10 & 100m Olympic male sprinter \\ \hline 29 33 16 & car travelling in urban zones (60 km/hr) \\ \hline … … 32 36 \end{table} 33 37 34 In simulating different tidal conditions, we assume that the 35 tidal conditions are the same for all locations in the study region. 36 It is worth noting here that ANUGA does not model tidal effects (that is, 37 the change in water height over time). To incorporate this effect in 38 a consistent way would also involve having information about the 39 difference in tide heights for every location in the region. This 40 information is not available on a national scale, 41 therefore our approach of applying a uniform change in water 42 height is a reasonable one. 43 44 The Australian Hydrographic Office fair sheet for Pt Hedland describes the 45 chart datum to be -4.132m below berth 3 with HAT, MHWS, MSL and LAT 46 placed at 7.5m, 6.8m 4.1 and 3.9m respecitively above the chart datum. 47 Assuming MSL is equivalent to AHD 0, then 48 HAT and LAT are 3.37 AHD and -0.23 AHD respectively. 49 Other detail on the chart describes the blah de blah mark to be MHWS. 50 51 It is evident from figure \ref{fig:ic_high} 52 that much of Pt Hedland would be inundated at Highest Astronomical Tide (HAT) 53 (3.37m above MSL). 54 HAT is the projected tide on a 19 year cycle (occurring when a number of 55 astronomical conditions happen simultaneously), and Mean High Water Springs 56 (MHWS) is the tide which is projected to occur ... (get the words 57 from the ANTT 06). The 58 Australian National Tidal Tables 2006 determines MHWS for Pt Hedland to be 59 2.67m (adjusted to AHD) which also places regions within the study area under 60 water before a tsunami wave reaches the shore. Using HAT or even 61 MHWS in this way has significant infrastructure inundated which does not 62 seem reasonable. Therefore, we show results for MSL only and 63 provide a 64 qualitative discussion on the changes to the inundation at HAT and LAT. 65 66 \begin{figure}[hbt] 67 68 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} 69 70 \caption{Initial condition for mean sea level.} 71 \label{fig:ic_zero} 72 \end{figure} 73 74 \begin{figure}[hbt] 75 76 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} 77 78 \caption{Initial condition for lowest astronomical tide.} 79 \label{fig:ic_low} 80 \end{figure} 81 82 \begin{figure}[hbt] 83 84 %\centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/.png}} 85 86 \caption{Initial condition for highest astronomical tide.} 87 \label{fig:ic_high} 88 \end{figure} 89 90 Examining the offshore gauges, the drawdown prior to the tsunami wave 38 Examining the offshore locations shown in Appendix 39 \ref{sec:timeseries}, the drawdown prior to the tsunami wave 91 40 arriving at the shore can be seen to occur around 230 mins 92 41 (3.8 hours) after the tsunami is generated. 93 Prior to the drawdown, maximum amplitudes are approximately ? at 94 ? and the ?, for example. The first wave 95 after the drawdown ranges from approximatly ?m in the 96 ? to ?m in the ?. The velocity 42 Prior to the drawdown, maximum amplitudes are approximately 50cm at 43 West of Groyne (Figure ) and 44 the mouth of Beadon Creek 45 (Figure ), for example. 46 The first wave 47 after the drawdown ranges from approximately 2m in the 48 west of Beadon Bay (Figure ) 49 to over 3m in the mouth of Beadon Creek 50 (Figure ). 51 The speed 97 52 sharply increases at drawdown with further increases as the 98 53 wave grows in amplitude. 99 There is an increased amplitude of approximately 3m found in54 There is an increased amplitude of approximately 4m found in 100 55 east of Beadon Bay for the secondary wave, as opposed to the first wave. 101 This feature is also evident at the West of Groyne location. 56 This feature is also evident at the West of Groyne location but 57 with decreased amplitude. 102 58 This may be due to the geography of the bay, including the groyne west of 103 59 the creek mouth opening, the local bathymetry 104 60 and the direction of the tsunami wave. 105 61 106 The maximum velocity found for the offshore gauges occurs at the West of 107 Groyne location with velocities halved at the Beadon Bay west location. 108 The Beadon Bay west velocity is greater that the gauge in the east of Beadon 109 Bay. There is similar differences in amplitude (from drawdown to maximum 110 amplitude), however, the west gauge is in deeper water than the east 111 gauge which may indicate the increased velocity found in the east of the 112 bay. 113 62 The maximum speed found for the offshore locations occur at the West of 63 Groyne location (Figure ). 64 The speeds at west and east of Beadon Bay are quite similar 65 (Figure } and Figure ). 66 However, there are increased amplitudes (from drawdown to maximum 67 amplitude), in the eastern location which is in shallower water than the western 68 location. 114 69 Subsequent drawdowns are seen as the multitude of waves which make up the 115 70 event propagate towards the shore. … … 120 75 %West of Groyne and Beadon Creek locations. 121 76 122 As expected, there is greater inundation at high tide. The major road 123 into Onslow, the Onslow Mount Stuart Rd, remains free of inundation for 124 all tidal scenarios. Beadon Creek Rd which services the wharf in the 125 river becomes increasingly inundated as the tide rises. Only the 126 entry to the wharf on Beadon Creek Rd is sufficiently inundated at LAT 127 to stop traffic. At HAT however, essentially the entire road 128 would be impassable. 77 It is evident that the sand dunes west of 78 Port Hedland are very effective in halting the tsunami wave, 79 see Figure \ref{fig:MSL_max_inundation}. 80 There is inundation between the western sand dunes at high 81 tide, Figure \ref{fig:HAT_max_inundation}, however, this water 82 penetrates from the north east (via 83 Port Hedland town centre) rather than seaward. (The DEM indicates that 84 this area is under 1.5m AHD which is automatically deemed to be inundated 85 at HAT.) 86 The same feature is evident for the sand dunes east of Port Hedland. 87 Currently, we do not model changes 88 to the bathymetry or topography due to effects of the water flow. 89 Therefore, we do not know whether these sand dunes would withstand the 90 transmitted energy of the tsunami wave. 91 The tsunami wave penetrates the river east of Port Hedland with a wave height 92 over 2m at the mouth 93 (Figure \ref{fig:gaugeBeadonCreekmouth}) 94 and inundation 95 exceeding 1m found at the Beadon Creek south of dock location (Figure 96 \ref{fig:gaugeBeadonCreeksouthofdock}). 97 The wave penetrates the river east of Port Hedland with increasingly 98 greater inundation between the -1.5m AHD and 1.5m AHD simulations. 99 100 As expected, there is greater inundation at 1.5m AHD. The major road 101 into Port Hedland, the ? Rd, remains free of inundation for 102 all simulations with a small amount of inundation evident at HAT at 103 the intersection with Beadon Creek Rd. Beadon Creek Rd services the wharf in the 104 river which becomes increasingly inundated as the initial condition 105 changes from 0m AHD to 1.5m AHD. Only the 106 entry to the wharf on Beadon Creek Rd is sufficiently inundated to 107 stop traffic at -1.5m AHD. 108 At 1.5m AHD however, essentially the entire road would be impassable. 109 110 There is significant inundation of at 111 least 2m on the foreshore of Onslow for 0m AHD and 1.5m AHD. 112 The inundation extent increases as the initial condition increases above 0m AHD, 113 reaching the southern boundaries of 114 the road infrastructure in the Port Hedland town centre. -
production/pt_hedland_2006/report/introduction.tex
r3024 r3364 1 The Fire and Emergency Services Authority of Western Australia (FESA) and 2 associated volunteers respond to a wide range of emergencies 3 as well as undertaking search and rescue operations on land and 4 water\footnote{http://www.fesa.wa.gov.au/internet/}. 5 FESA also aims to reduce injury, loss of life and destruction of property in 6 Western Australian communities through proactive measures. 7 FESA helps the West Australian 8 community prepare, prevent (where possible) and respond safely to disasters. 9 These risk mitigation activities involve understanding the relative risk 10 of the disaster so that resources can be directed to appropriate areas 11 and corresponding evacuation plans put in place. 1 12 2 Th is report is being provided to the Fire and Emergency Services Authority3 (FESA) 4 as part of the Collaborative Research Agreement with Geoscience Australia. 5 FESA recognises the potential vulnerability of the Western Australia 6 coastline to tsunamigenic earthquakes originating from7 the Sunda Arc subduction zone. There is 8 historic evidence of such events, \bibitem{CB:ausgeo}, 9 and FESA has sought to assess 10 the relative risk of its urban and regional communities to the tsunami 11 threat and develop detailed response plans. 13 The key role of the Risk Research Group at Geoscience Australian 14 is to develop knowledge on the risk from natural and 15 human-caused hazards for input to policy and operational decision makers 16 for the mitigation of risk to Australian communities. The group achieves 17 this through the development of computational methods, models and decision 18 support tools that assess the hazard, vulnerability and risk posed by hazards. 19 To develop an understanding of the tsunami risk, these 20 decision support tools consist of inundation 21 maps overlaid on aerial photography of the region 22 detailing critical infrastructure as well as damage modelling estimates. 12 23 13 This report is the first in a series of studies to assess the relative 14 risk to the tsunami threat. The methods, assumptions and results of a 15 single tsunami source scenario is described for the Pt Hedland area in the 16 North West shelf region. 24 This report is the first in a series of tsunami assessments 25 of the North West Shelf. The scenario used for this study has 26 an unknown return period, however it is a plausible event (see 27 Section \ref{sec:tsunamiscenario}. 28 Subsequent assessments will use refined hazard models with 29 associate return rates for other localities, as advised by FESA. 30 In this report, 31 the methods, assumptions and impacts of a 32 single tsunami source scenario is described for the Port Hedland area in the 33 North West shelf region. Future studies 34 will present a series of scenarios for a range of return periods to 35 assist FESA in developing appropriate plans for a range of event impacts. 17 36 Pt Hedland has a population of around 42000 (including South Hedland) and 18 37 is part of the Pilbara region of Western Autralia … … 22 41 pastoral and light industrial. 23 42 24 The return 25 period of this particular scenario is unknown, however it 26 can be be classed as a plausible event. Future studies 27 will present a series of scenarios for a range of return events to 28 assist FESA in developing appropriate plans for a range of event impacts. 29 The software tool, ANUGA, has been used to develop the inundation extent 30 and associated water height at various points in space and time. 31 ANUGA has been developed by GA and the Australian National University 32 (ANU) to solve the nonlinear shallow water 33 wave equation using the finite volume technique (described in \cite{ON:modsim}). 34 An advantage of this technique is that the cell resolution can be changed 35 according to areas of interest and that wetting and drying 36 is treated robustly as part of the numerical scheme. 37 ANUGA is continually being developed and validated. 38 As such, the current results represent ongoing work 39 and may change in the future. 43 The modelling technique to simulate the 44 impact ashore will be discussed in Section \ref{sec:anuga} and data inputs 45 discussed in Section \ref{sec:data}. 46 The inundation results are presented and discussed in Section \ref{sec:results} 47 and the impact modelling results outlined in Section \ref{sec:impact}. 48 A summary of the results detailing issues 49 regarding underlying data and further model development, are discussed 50 in Section \ref{sec:summary}. 40 51 41 The following set of information is required input to undertake the tsunami42 impact modelling and will be discussed in following sections.43 52 44 \begin{itemize}45 \item onshore and offshore data46 \item initial condition47 \item boundary condition48 \end{itemize}49 50 The inundation results for the Pt Hedland area is described in section51 \ref{sec:results}. -
production/pt_hedland_2006/report/references.tex
r3017 r3364 1 2 1 3 \begin{thebibliography}{99} 2 4 3 5 \bibitem{CB:ausgeo} Cummins, P. and Burbidge, D. (2004) 4 6 Small threat, but warning sounded for tsunami research. AusGeo News 75, 4-7. 7 8 \bibitem{VT:MOST} Titov, V.V., and F.I. Gonzalez (1997) 9 Implementation and testing of the Method of Splitting 10 Tsunami (MOST) model, NOAA Technical Memorandum ERL PMEL-112. 11 12 \bibitem{somerville:urs} Somerville, P., Thio, H.K. and Ichinose, G. (2005) 13 Probabilistic Tsunami Hazard Analysis. Report delivered to Geoscience 14 Australia 2005. 15 16 \bibitem{matsuyama:1999} 17 Matsuyama, M., Walsh, J.P. and Yeh, H. (1999) 18 The effect of bathymetry on tsunami characteristics at 19 Sisano Lagoon, Papua New Guinea. 20 Geophysical Research Letters, 26, 23, 3513-3516. 21 22 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi 23 Hazard Assesment of Western Australia. Report 24 to the Fire and Emergency Services Authority of Western Australia. 5 25 6 26 \bibitem{ON:modsim} Nielsen, O., Roberts, Gray, D., McPherson, A. and … … 11 31 URL: http://www.mssanz.org.au/modsim05/papers/nielsen.pdf 12 32 13 \bibitem{ BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi14 Hazard Assesment of Western Australia. Report 15 to the Fire and Emergency Services Authority of Western Australia.33 \bibitem{antt:06} Australian National Tide Tables 2006: 34 Australia, Papua New Guinea, Solomon Islands and Antarctica and East Timor. 35 Australian Hydrographic Publication 11, Australian Hydrographic Service. 16 36 17 \bibitem{ken:damage} Dale, K. (year) 37 \bibitem{papathoma:vulnerability} 38 Papathoma, M. and Dominey-Howes, D. (2003) 39 Tsunami vulnerability assessment and its implications for coastal hazard 40 analysis and disaster management planning, Gulf of Corinth, Greece, 41 Natural Hazards and Earth System Sciences, 3, 733-747. 42 43 \bibitem{cooper:2005} 44 Cooper, D. (2005) Risk Research Group Personal Communication at NSW Tsunami 45 Workshop 12th and 13th April, Masonic Centre, Goulburn St, Sydney. 46 47 \bibitem{NIBS:2003} National Institute of Building Sciences (2003) 48 HAZUS-MH User Manual, Washington DC, USA. 18 49 19 50 \end{thebibliography} 51 -
production/pt_hedland_2006/report/summary.tex
r2950 r3364 1 This report has described the impact to Onslow from a tsunami 2 generated by a Mw 9 earthquake on the Sunda Arc subduction zone 3 occurring at Highest Astronomical Tide, Lowest Astronomical Tide 4 and Mean Sea Level. 5 There is no knowledge of the return period for this event. The 6 modelling methodology, assumptions and data sources for the Onslow 7 scenario have also been described. 8 As discussed in Section \ref{sec:issues}, it is imperative 9 that the best available data is used to increase confidence 10 in the inundation maps. An onshore grid resolution of the order 11 of tens of metres is required, however, it is more important that the data 12 is accurate (or at least well known). 13 These scenarios will be revisited once the probabilistic models 14 are complete so that a suite of tsunami impact assessments can be made. 1 15 2 this will be the summary - put together by the team 16 Future activities to support the impact studies on the North West Shelf 17 include: 18 19 \begin{itemize} 20 \item Sourcing of data sets, 21 \item Investigation of solution sensitivity to cell resolution, 22 bathymetry and tsunami source uncertainties, 23 \item Location of boundary for simulation study area, and 24 \item Investigation of friction coefficients. 25 \end{itemize} -
production/pt_hedland_2006/report/tsunami_scenario.tex
r2983 r3364 1 The tsunamigenic event used for this study is one used 2 to develop the preliminary tsunami hazard assessment which 3 was delivered to FESA in September 2005 (ref Burbidge, D. and 4 Cummins, P. 2005). In that assessment, a suite of 5 tsunami were evenly spaced along the Sunda Arc subduction zone and there 6 was no consideration of likelihood. Other sources were not considered, such 1 The tsunamigenic event used in this report was developed for a 2 preliminary tsunami hazard assessment study delivered by GA 3 to FESA in September 2005, 4 \cite{BC:FESA}. In that assessment, a suite of Mw 9 earthquakes 5 were evenly spaced along the Sunda Arc subduction zone and there 6 was no consideration of the likelihood of each event. 7 Other less likely sources were not considered, such 7 8 as intra-plate earthquakes near the WA coast, volcanoes, landslides 8 or asteroids. The preliminary assessment argued 9 that the maximum magnitude of earthquakes off Java is at least 8.5 and 10 could potentially be as high as 9. 9 or asteroids. 10 In the preliminary assessment, 11 the maximum magnitude of earthquakes off Java was considered to be 12 at least 8.5 and could potentially be as high as 9. 11 13 12 Current studies underway in GA are building probabilistic 14 FESA is interested in the ``most frequent worst case scenario''. Whilst 15 we currently cannot determine exactly what that event may be, the Mw 9 event 16 provides a plausible worst case scenario. To understand the 17 frequency of these tsunami-genic events, 18 GA is building probabilistic 13 19 models to develop a more complete tsunami hazard assessment 14 for the Sunda Arc subduction zone . (This is15 due for completion in late 2006. )In the preliminary assessment for16 example, it was argued that while Mw 7 and 8 earthquakes are expected17 to occur with a greater frequency , they are likely to pose a comparatively18 low andlocalised hazard to WA.20 for the Sunda Arc subduction zone, 21 due for completion in late 2006. In the preliminary assessment for 22 example, it was suggested that while Mw 7 and 8 earthquakes are expected 23 to occur with a greater frequency than Mw 9 events, 24 they are likely to pose a comparatively low and more localised hazard to WA. 19 25 20 FESA are interested in the ``most frequent worst case scenario''. Whilst 21 we cannot determine what that event may be, the Mw 9 event provides 22 a plausible worst case scenario. 23 24 The following figure is taken from the preliminary assessment and 25 shows the maximum wave height up to the 50m contour for a Mw 9 event off 26 the coast of Java. It is this event which provides the source to the 27 inundation modelling presented in the following section. 28 26 Figure \ref{fig:mw9} shows the maximum wave height of a tsunami initiated 27 by a Mw 9 event off 28 the coast of Java. It is this event which provides the source and 29 boundary condition to the 30 inundation model presented in Section \ref{sec:anuga}. 29 31 30 32 31 33 \begin{figure}[hbt] 32 34 33 \centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/mw9.jpg}} 35 \centerline{ \includegraphics[width=100mm, height=75mm] 36 {../report_figures/mw9.jpg}} 34 37 35 38 \caption{Maximum wave height (in cms) for a Mw 9 event off the
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