Changeset 3364


Ignore:
Timestamp:
Jul 19, 2006, 8:23:41 AM (19 years ago)
Author:
sexton
Message:

port hedland updates

Location:
production/pt_hedland_2006/report
Files:
4 added
1 deleted
12 edited

Legend:

Unmodified
Added
Removed
  • production/pt_hedland_2006/report/HAT_map.tex

    r2983 r3364  
    1 \begin{figure}[hbt]
     1\begin{sidewaysfigure}
    22%\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.} 
    44\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}
    22%\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.} 
    44\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]
    22%\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.} 
    44\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 develop the inundation extent
    3 and associated water height at various points in space and time.
     1The software tool, ANUGA \cite{ON:modsim}, has been used to estimate
     2the inundation extent
     3and associated water level at various points in space and time.
    44ANUGA has been developed by GA and the Australian National University
    55(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
     6wave equation using the finite volume technique\footnote{The finite volume
     7technique belongs to the class of computational fluid dynamic (CFD)
     8methods which is based on discretizing the study area in
     9control ''volumes''. The method satisfices conservation
     10of mass, momentum and energy and is exactly satisfied for
     11each control volume.
     12An advantage of this technique is that the discretization
     13can be changed
    814according 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.
     15is treated robustly as part of the numerical scheme.}.
     16ANUGA is continually being developed and validated to ensure
     17the modelling approximations reflect new theory or
     18available experimental data sets.
     19As such, the current results are preliminary.
    1320
    14 The following set of information is required to undertake the tsunami
    15 inundation modelling;.
     21The following information is required to undertake the
     22inundation modelling;
    1623
    1724\begin{itemize}
    1825\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})
     26see 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
     29Section \ref{sec:tsunamiscenario}), and
     30\item computational requirements relating to the mesh construction.
    2331\end{itemize}
    2432
    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.
     33As part of the CRA, it was decided to provide results for the
     34extremes of the tidal regimes to understand the potential range of impacts
     35from the event. In this study, we used the Australian Height Datum (AHD)
     36as the vertical datum. Mean Sea Level (MSL) is approximately equal to
     370m AHD with the Highest Astronomical Tide (HAT)
     38and Lowest Astronomical Tide (LAT) defined as 1.5m AHD
     39and -1.5m AHD respectively for Onslow, \cite{antt:06}.
     40These values are tidal
     41predictions based on continous tidal observations from Standard Ports
     42over a period of
     43at least one year, with the Australian Hydrographic Service
     44recommending this be extended to three years to capture
     45changes to the mean sea level. Onslow is listed as
     46a Standard Port. As an aside, current work at GA is
     47extracting information from LANDSAT imagery to reconstruct the
     48tidal variations for various WA locations. Future modelling of
     49these areas will incorporate this information.
    3150
    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.
     51The initial conditions used for this scenario are MSL, HAT and LAT.
     52The dynamics of
     53tidal effects (that is, the changes in water height over time for
     54the entire study area) are not currently modelled.
     55Sea floor friction will generally provide resistance to the water flow
     56and thus reduce the impact somewhat. However, limited
     57research has been carried out to determine
     58the friction coefficients, and
     59thus it has not been incorporated
     60in the scenario presented in this report. The
     61results are therefore likely to be over estimations.
    3962
    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.
     1To set up a model for the tsunami scenario, a study area is first
     2determined. Preliminary investigations have indicated the point
     3at which the output from MOST is the input to ANUGA is
     4sufficient at the 100m bathymetric contour line\footnote{
     5Preliminary investigations indicate that MOST and ANUGA compare
     6well at the 100m contour line. In addition, the resolution for
     7the MOST modelling indicate that it can theoretically model
     8tsunamis with a wavelength of 20-30km, and the wavelength of
     9the tsunami wave at the boundary is approximately 20km. A much
     10higher model resolution will be used in developing the probabilistic
     11models for further studies.}. Historical runup heights are
     12of the order of 10m and we would expect that a tsunami wave
     13would penetrate no higher for this scenario.
     14Current computation requirements define a coastline
     15extent of around 100km. Therefore, the study area of around 6300 km$^2$
     16covers approximately 100km of
     17coastline and extends offshore to the 100m contour line and inshore to
     18approximately 10m elevation.
     19
     20The 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
     21area will be the maximum cell area within the defined region and that each
     22cell in the region does not necessarily have the same area.}.
     23The 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.
     24Figure \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.
     25With these cell areas, the study area consists of 401939 triangles
     26in 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.
    2627
    2728\begin{figure}[hbt]
     
    3031             {../report_figures/pt_hedland_data_poly.png}}
    3132
    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.
     34Region 1: Surrounds Port Hedland town centre with a cell area of 500 m$^2$ (lateral accuracy 30m).
     35Region 2: Surrounds the coastal region with a cell area of 2500 m$^2$ (lateral accuracy 70m).
     36Region 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}
    3439\end{figure}
    35 
    3640
    3741\begin{figure}[hbt]
    3842
    39   %\centerline{ \includegraphics[width=100mm, height=75mm]{}}
     43  \centerline{ \includegraphics[width=100mm, height=75mm]
     44              {../report_figures/mesh.jpg}}
    4045
    41   \caption{Computational mesh for Pt Hedland study area}
    42   \label{fig:meshpthedland}
     46  \caption{Computational mesh for Port Hedland study area where the
     47cell areas increase in resolution; 500 m$^2$, 2500 m$^2$, 20000
     48m$^2$ and 100000 m$^2$.}
     49  \label{fig:mesh_pt_hedland}
    4350\end{figure}
    4451
    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.
     52The final item to be addressed to complete the model setup is the
     53definition of the boundary condition. As
     54discussed in Section \ref{sec:tsunamiscenario}, a Mw 9 event provides
     55the tsunami source. The resultant tsunami wave is made up of a series
     56of waves with different amplitudes which is affected by the energy
     57and style of the event as well as the bathymetry whilst it travels
     58from its source to Port Hedland. The amplitude and velocity of each of these
     59waves are then provided to ANUGA as boundary conditions and propagated
     60inshore.
  • production/pt_hedland_2006/report/damage.tex

    r3024 r3364  
     1In this report, impact modelling refers to casualties and
     2damage to residential buildings as a result
     3of the inundation described in Section \ref{sec:results}. It is assumed
     4that the event occurs at night.
     5Exposure data are sourced from the National Building Exposure Database (NBED),
     6developed by GA\footnote{http://www.ga.gov.au/urban/projects/ramp/NBED.jsp}.
     7It contains information about residential buildings, people and the
     8cost of replacing buildings and contents.
    19
    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).
     10To develop building damage and casuality estimates,
     11residential collapse vulnerability models and casualty models were developed.
     12The vulnerability models have been developed for
     13framed residential construction using data from the Indian Ocean tsunami event. The models predict the collapse
     14probability for an exposed population and incorporates the following
     15parameters known to influence building damage \cite{papathoma:vulnerability},
    1516
    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}   
    2023
    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.
     24The 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
     29Casualty models were based on the
     30storm surge models used for the Cairns Cyclone Scenario and
     31through consultation with Dr David Cooper of NSW Health, \cite{cooper:2005}.
     32The injury probabilities for exposed populations were determined
     33based on the nocturnal nature of the event, the collapse outcome
     34for the structure, the water depth with respect to
     35sleeping height (1.0 m) and the limited warning noise for people
     36in the first three city blocks (six house rows) that could potentially
     37awaken them. The three injury categories correspond with the
     38categories presented in HAZUS-MH \cite{NIBS:2003} for earthquake
     39related injury. The casualty model used is presented in Table
     40\ref{table:casualty}
     41and the injury categories are presented in Table \ref{table:injury}.
     42Input data comprised of resident population data at census
     43district level derived from the ABS 2001 Census.
     44
     45From this database, we find that there
     46are ? residential structures and a population of approximately ?
     47in Port Hedland\footnote{Population is determined by census data and the 1999
     48ABS housing survey}.
     49The damage to the residential structures in the Onslow community
     50is summarised in Table \ref{table:damageoutput}. The percentage
     51of repair cost to structural value shown is based on the total structural value
     52of \$60M. Likewise, the percentage of contents loss shown is
     53based on the total contents value of \$85M for
     54the Onslow region.
     55%The injuries sustained is summarised in Table \ref{table:injuries}.
     56The HAT scenario is the only scenario to cause damage
     57to 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
     68HAT 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
     87Tsunami impact on indigeneous communities should be considered
     88especially as a number of communities exist in coastal regions of north west WA.
     89These communities are typically not included in national residential databases
     90and would be therefore overlooked in damage model estimates.
     91
    2692There are four indigeneous communities located in this study area as seen
    2793in \ref{fig:communities}. The community located in a potentially vulnerable
    2894position
    2995(on the headland) is Tjalka Boorda whose population is not registered.
     96
     97During the HAT scenario, over ?m of water will inundate parts of the community causing significant impact?
    3098
    3199\begin{figure}[hbt]
     
    46114\end{tabular}
    47115\end{center}
     116
     117
     118
  • production/pt_hedland_2006/report/data.tex

    r3024 r3364  
    11The calculated run-up height and resulting inundation ashore is determined by
    2 the input topographic and bathymetric data, the forcing terms, the
    3 initial and boundary conditions, as well as the cell resolution. It
    4 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 limitations
    7 in terms of resolution and accuracy in the data will introduce
    8 errors to the inundation maps as well as the range of model approximations,
    9 including the cell resolution.
     2the input topographic and bathymetric elevation, the forcing terms, the
     3initial and boundary conditions, as well as the cell area of the computational
     4mesh.
     5Ideally, the data should adequately capture all complex features
     6of the underlying bathymetry and topography. Any limitations
     7in the resolution and accuracy of the data will introduce
     8errors to the inundation maps, in addition to the range of approximations
     9made within the model.
    1010
    11 A number of sources have supplied data for this study. With
     11Data for this study have been sourced from a number of agencies. With
    1212respect 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.
     13Organisation (DIGO) supplied the Digital Terrain Elevation
     14Data Level 2 (DTED) which has been authorised for Australian Tsunami
     15Warning 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
     17drainage. In addition, the Department of Land Information (DLI) has provided a
     1820m Digital Elevation Model (DEM) and orthophotography
     19covering the NW Shelf. The DTED Level 2 data is ``bare earth'' and
     20the DLI data distorted by vegetation and buildings. 
     21
     22Figure \ref{fig:contours_compare}(a) shows the contour lines for
     23HAT, MSL and LAT for Port Hedland using the DTED data where it is evident
     24that the extent of the tidal inundation is exaggerated. This is due to
     25short comings with the digital elevation model (DEM) created from
     26the DTED data.
     27Figure \ref{fig:contours_compare}(b) shows
     28the contour lines for HAT, MSL and LAT for Port Hedland using the WA DLI data.
     29It is obvious that there are significant differences in each DEM with
     30total station survey information and the knowledge
     31of the HAT contour line pointing to increased confidence in the WA DLI
     32data over the DTED data for use in the inundation modelling.
     33The impact difference based on these two onshore data sets
     34will 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)
     53and 1.5m AHD (HAT) contour lines using the (a) DTED Level 2 data and
     54the (b) WA DLI data.}
     55 % \label{fig:contours_dli}
     56 \label{fig:contours_compare}
     57\end{figure}
    2158
    2259With 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.
     60Infrastructure (DPI) have provided state digital fairsheet data around
     61Port Hedland. This data cover only a very small geographic area. (Note,
     62similar data have been provided by DPI for Onslow and Broome.)
     63The Australian Hydrographic Office (AHO) has supplied extensive
     64fairsheet 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.
     65The coastline has been generated by
     66using the aerial photography and two detailed surveys provided
     67by WA DPI.
     68The WA DLI data surrounding the coast are error prone and
     69have been clipped at the derived coastline.
     70Appendix \ref{sec:metadata} provides more details and the supporting metadata
     71for this study.
     72Table \ref{table:data} summarises the available data for this study.
     73Figure \ref{fig:pthedlanddataarea} shows the offshore data indicating a number of gaps.
    2974
    30 In summary,
    31 
     75\begin{table}
     76\caption{Available data for the North West shelf tsunami inundation studies.}
     77\label{table:data}
    3278\begin{center}
    3379\begin{tabular}{|l|l|}\hline
     
    3581DIGO DTED Level 2  & Onshore, 1 second $\approx$ 30m \\ \hline
    3682DLI & 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
     83DPI & Offshore, fairsheet data around Port Hedland \\ \hline
     84AHO & Offshore, fairsheet data for North West Shelf region \\ \hline
    4185\end{tabular}
    4286\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}
    5488
    5589\begin{figure}[hbt]
    5690
    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}}
    5893
    59   \caption{Data extent for Pt Hedland scenario. Offshore data shown in blue and onshore data
    60 in green.}
    61   \label{fig:pt_hedland_data_area}
     94  \caption{Data extent for Port Hedland scenario. Offshore data shown in blue
     95and onshore data in green.}
     96  \label{fig:pthedlanddataarea}
    6297\end{figure}
    6398
    64 Section \ref{sec:metadata} outlines the metadata for data used for
    65 this study.
     99
     100\pagebreak
    66101
    67102
  • 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
     1The main features of the
     2tsunami wave and resultant impact ashore is described in this section.
     3We have
     4chosen a number of locations which we believe would be important
     5in an emergency situation, such as the hospital and power station, or
     6effect recovery efforts, such as the airport and docks. These locations
     7are described in Table \ref{table:locations} and shown in
     8Figure \ref{fig:points}. The water's stage and speed are shown
     9as a function of time in the series of graphs shown in
     10Appendix \ref{sec:timeseries}. Stage is defined as the absolute
     11water level relative to AHD. Both stage and speed are shown
     12on 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.
     16As a useful benchmark, Table \ref{table:speedexamples}
    1317describes typical examples for a range of velocities found in the
    1418simulations.
    1519
    1620\begin{table}
    17 \label{table:speed_examples}
     21\begin{center}
    1822\caption{Examples of a range of velocities.}
    19 \begin{center}
     23\label{table:speedexamples}
    2024\begin{tabular}{|l|l|}\hline
    21 Velocity (m/s) & Example \\ \hline
     25{\bf Velocity (m/s)} & {\bf Example} \\ \hline
    22261 & leisurely stroll pace\\ \hline
    23271.5 & average walking pace \\ \hline
    24 2 & 100m Olympic male freestyle \\ \hline
    25 3 & mackeral \\ \hline
     28%2 & 100m Olympic male freestyle \\ \hline
     29%3 & mackeral \\ \hline
    26304 & average person maintain for 1000m \\ \hline
    27 5 & blue whale \\ \hline
     31%5 & blue whale \\ \hline
    283210 & 100m Olympic male sprinter \\ \hline
    293316 & car travelling in urban zones (60 km/hr) \\ \hline
     
    3236\end{table}
    3337
    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
     38Examining the offshore locations shown in Appendix
     39\ref{sec:timeseries}, the drawdown prior to the tsunami wave
    9140arriving at the shore can be seen to occur around 230 mins 
    9241(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
     42Prior to the drawdown, maximum amplitudes are approximately 50cm at
     43West of Groyne (Figure ) and
     44the mouth of Beadon Creek
     45(Figure ), for example.
     46The first wave
     47after the drawdown ranges from approximately 2m in the
     48west of Beadon Bay (Figure )
     49to over 3m in the mouth of Beadon Creek
     50(Figure ).
     51The speed
    9752sharply increases at drawdown with further increases as the
    9853wave grows in amplitude.
    99 There is an increased amplitude of approximately 3m found in
     54There is an increased amplitude of approximately 4m found in
    10055east 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.
     56This feature is also evident at the West of Groyne location but
     57with decreased amplitude.
    10258This may be due to the geography of the bay, including the groyne west of
    10359the creek mouth opening, the local bathymetry
    10460and the direction of the tsunami wave.
    10561
    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 
     62The maximum speed found for the offshore locations occur at the West of
     63Groyne location (Figure ).
     64The speeds at west and east of Beadon Bay are quite similar
     65(Figure } and Figure ).
     66However, there are increased amplitudes (from drawdown to maximum
     67amplitude), in the eastern location which is in shallower water than the western
     68location.
    11469Subsequent drawdowns are seen as the multitude of waves which make up the
    11570event propagate towards the shore.
     
    12075%West of Groyne and Beadon Creek locations.
    12176
    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.
     77It is evident that the sand dunes west of
     78Port Hedland are very effective in halting the tsunami wave,
     79see Figure \ref{fig:MSL_max_inundation}.
     80There is inundation between the western sand dunes at high
     81tide, Figure \ref{fig:HAT_max_inundation}, however, this water
     82penetrates from the north east (via
     83Port Hedland town centre) rather than seaward. (The DEM indicates that
     84this area is under 1.5m AHD which is automatically deemed to be inundated
     85at HAT.)
     86The same feature is evident for the sand dunes east of Port Hedland.
     87Currently, we do not model changes
     88to the bathymetry or topography due to effects of the water flow.
     89Therefore, we do not know whether these sand dunes would withstand the
     90transmitted energy of the tsunami wave.
     91The tsunami wave penetrates the river east of Port Hedland with a wave height
     92over 2m at the mouth
     93(Figure \ref{fig:gaugeBeadonCreekmouth})
     94and inundation
     95exceeding 1m found at the Beadon Creek south of dock location (Figure
     96\ref{fig:gaugeBeadonCreeksouthofdock}).
     97The wave penetrates the river east of Port Hedland with increasingly
     98greater inundation between the -1.5m AHD and 1.5m AHD simulations.
     99
     100As expected, there is greater inundation at 1.5m AHD. The major road
     101into Port Hedland, the ? Rd, remains free of inundation for
     102all simulations with a small amount of inundation evident at HAT at
     103the intersection with Beadon Creek Rd. Beadon Creek Rd services the wharf in the
     104river which becomes increasingly inundated as the initial condition
     105changes from 0m AHD to 1.5m AHD. Only the
     106entry to the wharf on Beadon Creek Rd is sufficiently inundated to
     107stop traffic at -1.5m AHD.
     108At 1.5m AHD however, essentially the entire road would be impassable.
     109
     110There is significant inundation of at
     111least 2m on the foreshore of Onslow for 0m AHD and 1.5m AHD.
     112The inundation extent increases as the initial condition increases above 0m AHD,
     113reaching the southern boundaries of
     114the road infrastructure in the Port Hedland town centre.
  • production/pt_hedland_2006/report/introduction.tex

    r3024 r3364  
     1The Fire and Emergency Services Authority of Western Australia (FESA) and
     2associated volunteers respond to a wide range of emergencies
     3as well as undertaking search and rescue operations on land and
     4water\footnote{http://www.fesa.wa.gov.au/internet/}.
     5FESA also aims to reduce injury, loss of life and destruction of property in
     6Western Australian communities through proactive measures.
     7FESA helps the West Australian
     8community prepare, prevent (where possible) and respond safely to disasters.
     9These risk mitigation activities involve understanding the relative risk
     10of the disaster so that resources can be directed to appropriate areas
     11and corresponding evacuation plans put in place. 
    112
    2 This report is being provided to the Fire and Emergency Services Authority
    3 (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 from
    7 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.
     13The key role of the Risk Research Group at Geoscience Australian
     14is to develop knowledge on the risk from natural and
     15human-caused hazards for input to policy and operational decision makers
     16for the mitigation of risk to Australian communities. The group achieves
     17this through the development of computational methods, models and decision
     18support tools that assess the hazard, vulnerability and risk posed by hazards.
     19To develop an understanding of the tsunami risk, these
     20decision support tools consist of inundation
     21maps overlaid on aerial photography of the region
     22detailing critical infrastructure as well as damage modelling estimates.
    1223
    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.
     24This report is the first in a series of tsunami assessments
     25of the North West Shelf. The scenario used for this study has
     26an unknown return period, however it is a plausible event (see
     27Section \ref{sec:tsunamiscenario}.
     28Subsequent assessments will use refined hazard models with
     29associate return rates for other localities, as advised by FESA.
     30In this report,
     31the methods, assumptions and impacts of a
     32single tsunami source scenario is described for the Port Hedland area in the
     33North West shelf region. Future studies
     34will present a series of scenarios for a range of return periods to
     35assist FESA in developing appropriate plans for a range of event impacts.
    1736Pt Hedland has a population of around 42000 (including South Hedland) and
    1837is part of the Pilbara region of Western Autralia
     
    2241pastoral and light industrial.
    2342
    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.
     43The modelling technique to simulate the
     44impact ashore will be discussed in Section \ref{sec:anuga} and data inputs
     45discussed in Section \ref{sec:data}.
     46The inundation results are presented and discussed in Section \ref{sec:results}
     47and the impact modelling results outlined in Section \ref{sec:impact}.
     48A summary of the results detailing issues
     49regarding underlying data and further model development, are discussed
     50in Section \ref{sec:summary}.
    4051
    41 The following set of information is required input to undertake the tsunami
    42 impact modelling and will be discussed in following sections.
    4352
    44 \begin{itemize}
    45 \item onshore and offshore data
    46 \item initial condition
    47 \item boundary condition
    48 \end{itemize}
    49 
    50 The inundation results for the Pt Hedland area is described in section
    51 \ref{sec:results}.
  • production/pt_hedland_2006/report/references.tex

    r3017 r3364  
     1
     2
    13\begin{thebibliography}{99}
    24
    35\bibitem{CB:ausgeo} Cummins, P. and Burbidge, D. (2004)
    46Small 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)
     9Implementation and testing of the Method of Splitting
     10Tsunami (MOST) model, NOAA Technical Memorandum ERL PMEL-112.
     11
     12\bibitem{somerville:urs} Somerville, P., Thio, H.K. and Ichinose, G. (2005)
     13Probabilistic Tsunami Hazard Analysis. Report delivered to Geoscience
     14Australia 2005.
     15
     16\bibitem{matsuyama:1999}
     17Matsuyama, M., Walsh, J.P. and Yeh, H. (1999)
     18The effect of bathymetry on tsunami characteristics at
     19Sisano Lagoon, Papua New Guinea.
     20Geophysical Research Letters, 26, 23, 3513-3516.
     21
     22\bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi
     23Hazard Assesment of Western Australia. Report
     24to the Fire and Emergency Services Authority of Western Australia.
    525
    626\bibitem{ON:modsim} Nielsen, O., Roberts, Gray, D., McPherson, A. and
     
    1131URL: http://www.mssanz.org.au/modsim05/papers/nielsen.pdf
    1232
    13 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi
    14 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:
     34Australia, Papua New Guinea, Solomon Islands and Antarctica and East Timor.
     35Australian Hydrographic Publication 11, Australian Hydrographic Service.
    1636
    17 \bibitem{ken:damage} Dale, K. (year)
     37\bibitem{papathoma:vulnerability}
     38Papathoma, M. and Dominey-Howes, D. (2003)
     39Tsunami vulnerability assessment and its implications for coastal hazard
     40analysis and disaster management planning, Gulf of Corinth, Greece,
     41Natural Hazards and Earth System Sciences, 3, 733-747.
     42
     43\bibitem{cooper:2005}
     44Cooper, D. (2005) Risk Research Group Personal Communication at NSW Tsunami
     45Workshop 12th and 13th April, Masonic Centre, Goulburn St, Sydney.
     46
     47\bibitem{NIBS:2003} National Institute of Building Sciences (2003)
     48HAZUS-MH User Manual, Washington DC, USA.
    1849
    1950\end{thebibliography}
     51
  • production/pt_hedland_2006/report/summary.tex

    r2950 r3364  
     1This report has described the impact to Onslow from a tsunami
     2generated by a Mw 9 earthquake on the Sunda Arc subduction zone
     3occurring at Highest Astronomical Tide, Lowest Astronomical Tide
     4and Mean Sea Level.
     5There is no knowledge of the return period for this event. The
     6modelling methodology, assumptions and data sources for the Onslow
     7scenario have also been described.
     8As discussed in Section \ref{sec:issues}, it is imperative
     9that the best available data is used to increase confidence
     10in the inundation maps. An onshore grid resolution of the order
     11of tens of metres is required, however, it is more important that the data
     12is accurate (or at least well known).
     13These scenarios will be revisited once the probabilistic models
     14are complete so that a suite of tsunami impact assessments can be made.
    115
    2 this will be the summary - put together by the team
     16Future activities to support the impact studies on the North West Shelf
     17include:
     18
     19\begin{itemize}
     20\item Sourcing of data sets,
     21\item Investigation of solution sensitivity to cell resolution,
     22bathymetry 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
     1The tsunamigenic event used in this report was developed for a
     2preliminary tsunami hazard assessment study delivered by GA
     3to FESA in September 2005,
     4\cite{BC:FESA}. In that assessment, a suite of Mw 9 earthquakes
     5were evenly spaced along the Sunda Arc subduction zone and there
     6was no consideration of the likelihood of each event.
     7Other less likely sources were not considered, such
    78as 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.
     9or asteroids.
     10In the preliminary assessment,
     11the maximum magnitude of earthquakes off Java was considered to be
     12at least 8.5 and could potentially be as high as 9.
    1113
    12 Current studies underway in GA are building probabilistic
     14FESA is interested in the ``most frequent worst case scenario''. Whilst
     15we currently cannot determine exactly what that event may be, the Mw 9 event
     16provides a plausible worst case scenario. To understand the
     17frequency of these tsunami-genic events,
     18GA is building probabilistic
    1319models to develop a more complete tsunami hazard assessment
    14 for the Sunda Arc subduction zone. (This is
    15 due for completion in late 2006.) In the preliminary assessment for
    16 example, it was argued that while Mw 7 and 8 earthquakes are expected
    17 to occur with a greater frequency, they are likely to pose a comparatively
    18 low and localised hazard to WA.
     20for the Sunda Arc subduction zone,
     21due for completion in late 2006. In the preliminary assessment for
     22example, it was suggested that while Mw 7 and 8 earthquakes are expected
     23to occur with a greater frequency than Mw 9 events,
     24they are likely to pose a comparatively low and more localised hazard to WA.
    1925
    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 
     26Figure \ref{fig:mw9} shows the maximum wave height of a tsunami initiated
     27by a Mw 9 event off
     28the coast of Java. It is this event which provides the source and
     29boundary condition to the
     30inundation model presented in Section \ref{sec:anuga}.
    2931
    3032
    3133\begin{figure}[hbt]
    3234
    33   \centerline{ \includegraphics[width=100mm, height=75mm]{../report_figures/mw9.jpg}}
     35  \centerline{ \includegraphics[width=100mm, height=75mm]
     36{../report_figures/mw9.jpg}}
    3437
    3538  \caption{Maximum wave height (in cms) for a Mw 9 event off the
Note: See TracChangeset for help on using the changeset viewer.