Changeset 3375
- Timestamp:
- Jul 19, 2006, 1:23:38 PM (19 years ago)
- Location:
- production
- Files:
-
- 23 edited
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- Unmodified
- Added
- Removed
-
production/onslow_2006/report/anuga.tex
r3340 r3375 30 30 \item computational requirements relating to the mesh construction. 31 31 \end{itemize} 32 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. 50 51 The initial conditions used for this scenario are MSL, HAT and LAT. 32 33 The initial conditions used for this scenario are MSL, HAT and LAT which were 34 defined in Section \ref{sec:data}. 52 35 The dynamics of 53 36 tidal effects (that is, the changes in water height over time for … … 58 41 the friction coefficients, and 59 42 thus it has not been incorporated 60 in the scenario presented in this report. The43 in the scenario. The 61 44 results are therefore likely to be over estimations. 62 45 -
production/onslow_2006/report/computational_setup.tex
r3342 r3375 9 9 the tsunami wave at the boundary is approximately 20km. A much 10 10 higher model resolution will be used in developing the probabilistic 11 models for further studies.}. Historical run up heights are11 models for further studies.}. Historical run-up heights are 12 12 of the order of 10m and we would expect that a tsunami wave 13 13 would penetrate no higher for this scenario. … … 18 18 approximately 10m elevation. 19 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 thecomplex 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 cell20 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 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 21 area will be the maximum cell area within the defined region and that each 22 22 cell in the region does not necessarily have the same area.}. … … 34 34 Region 1: Surrounds Onslow town centre with a cell area of 500 m$^2$ (lateral accuracy 30m). 35 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).36 Region 3: Water depths to the 50m contour line (approximately) with a cell area of 20000 m$^2$ (lateral accuracy 200m). 37 37 Region 4: Water depths to the boundary (approximately 100m contour line) with a cell area of 100000 m$^2$ (lateral accuracy 445m). 38 38 } -
production/onslow_2006/report/damage.tex
r3361 r3375 43 43 district level derived from the ABS 2001 Census. 44 44 45 From this database, we find that there 46 are325 residential structures and a population of approximately 77045 There are an estimated 46 325 residential structures and a population of approximately 770 47 47 in Onslow\footnote{Population is determined by census data and the 1999 48 48 ABS housing survey}. … … 66 66 & of Total Value & Losses & of Total Value \\ \hline 67 67 %MSL & & 1 & \$ & \% & \$ & \% \\ \hline 68 HAT 68& 1&\$6M & &\$13M && \\ \hline68 HAT 70& 1&\$6M & 10\%&\$13M & 15\% & \\ \hline 69 69 %LAT & & & & & & \\ \hline 70 70 \end{tabular} -
production/onslow_2006/report/data.tex
r3361 r3375 1 1 The calculated run-up height and resulting inundation ashore is determined by 2 the input topographic and bathymetric elevation, the forcing terms, the2 the input topographic and bathymetric elevation, the 3 3 initial and boundary conditions, as well as the cell area of the computational 4 4 mesh. … … 8 8 errors to the inundation maps, in addition to the range of approximations 9 9 made within the model. 10 11 In this study, we used the Australian Height Datum (AHD) 12 as the vertical datum. Mean Sea Level (MSL) is approximately equal to 13 0m AHD with the Highest Astronomical Tide (HAT) 14 and Lowest Astronomical Tide (LAT) defined as 1.5m AHD 15 and -1.5m AHD respectively for Onslow \cite{antt:06}. 16 These values are tidal 17 predictions based on continous tidal observations from Standard Ports 18 over a period of 19 at least one year, with the Australian Hydrographic Service 20 recommending this be extended to three years to capture 21 changes to the mean sea level. Onslow is listed as 22 a Standard Port. As an aside, current work at GA is 23 extracting information from LANDSAT imagery to reconstruct the 24 tidal variations for various WA locations. Future modelling of 25 these areas will incorporate this information. 10 26 11 27 Data for this study have been sourced from a number of agencies. With … … 22 38 Figure \ref{fig:contours_compare}(a) shows the contour lines for 23 39 HAT, MSL and LAT for Onslow using the DTED data where it is evident 24 that the extent of the tidal inundation is exaggerated. This is due to 40 that the extent of the tidal inundation is exaggerated. In particular, 41 parts of Onslow town are inundated at HAT before a tsunami has 42 even been generated. This is due to 25 43 short comings with the digital elevation model (DEM) created from 26 44 the DTED data. … … 69 87 have been clipped at the derived coastline. 70 88 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:onslowdataarea} shows the offshore data indicating a number of gaps. 89 for this study, including images of the data extent. 90 Table \ref{table:data} summarises the available data. 74 91 75 92 \begin{table} … … 87 104 \end{table} 88 105 89 \begin{figure}[hbt]90 91 \centerline{ \includegraphics[width=100mm, height=75mm]92 {../report_figures/onslow_data_extent.png}}93 94 \caption{Data extent for Onslow scenario. Offshore data shown in blue95 and onshore data in green.}96 \label{fig:onslowdataarea}97 \end{figure}98 99 106 100 107 \pagebreak -
production/onslow_2006/report/discussion.tex
r3361 r3375 1 The purpose of this section then is to show the differences to theimpact2 when each data set is used to demonstratethe importance of using the1 The purpose of this section is to show the differences of impact 2 and the importance of using the 3 3 best possible data set. Given that the 1.5m AHD contour 4 4 line is further from the coast for the DTED data than the DLI data, we -
production/onslow_2006/report/execsum.tex
r3340 r3375 13 13 This report describes the modelling methodology and the results 14 14 for a particular tsunami-genic event as it impacts the Onslow township 15 and its surrounds. This report and the decision support tool are the 15 and its surrounds. Future studies 16 will present a series of scenarios for a range of return periods to 17 assist FESA in developing appropriate plans for a range of event impacts. 18 This report and the decision support tool are the 16 19 June 2006 deliverables of the Collaborative Research Agreement 17 20 between FESA and GA. -
production/onslow_2006/report/interpretation.tex
r3361 r3375 2 2 tsunami wave and resultant impact ashore is described in this section. 3 3 We have 4 chosen a number of locations which we believe would be important5 in an emergency situation, such as the hospital and power station ,or4 chosen a number of locations which we believe would be critical 5 in an emergency situation, such as the hospital and power station; or 6 6 effect recovery efforts, such as the airport and docks. These locations 7 7 are described in Table \ref{table:locations} and shown in … … 28 28 %2 & 100m Olympic male freestyle \\ \hline 29 29 %3 & mackeral \\ \hline 30 4 & average person maintainfor 1000m \\ \hline30 4 & average person can maintain running for 1000m \\ \hline 31 31 %5 & blue whale \\ \hline 32 32 10 & 100m Olympic male sprinter \\ \hline … … 77 77 It is evident that the sand dunes west of 78 78 Onslow are very effective in halting the tsunami wave, 79 see Figure \ref{fig:MSL_max_inundation}.79 (see Figure \ref{fig:MSL_max_inundation}). 80 80 There is inundation between the western sand dunes at high 81 81 tide, Figure \ref{fig:HAT_max_inundation}, however, this water -
production/onslow_2006/report/introduction.tex
r3340 r3375 13 13 The key role of the Risk Research Group at Geoscience Australian 14 14 is to develop knowledge on the risk from natural and 15 human-caused hazards for input to policy and operational decision mak ers16 for the mitigation of risk to Australian communities. The group achieves15 human-caused hazards for input to policy and operational decision making on 16 the mitigation of risk to Australian communities. The Group achieves 17 17 this through the development of computational methods, models and decision 18 support tools that assess the hazard, vulnerability and risk posed by hazard s.19 To develop an understanding of the tsunami risk, these 20 decision support tools consistof inundation18 support tools that assess the hazard, vulnerability and risk posed by hazard 19 events. To develop an understanding of the tsunami risk, GA has developed 20 decision support tools, consisting of inundation 21 21 maps overlaid on aerial photography of the region 22 22 detailing critical infrastructure as well as damage modelling estimates. … … 24 24 This report is the first in a series of tsunami assessments 25 25 of the North West Shelf. The scenario used for this study has 26 an unknown return period, however it isa plausible event (see27 Section \ref{sec:tsunamiscenario} .26 an unknown return period, but considered a plausible event (see 27 Section \ref{sec:tsunamiscenario}). 28 28 Subsequent assessments will use refined hazard models with 29 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 Onslow 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. 30 36 31 Onslow has a population of around 800 and 37 32 is part of the Shire of Ashburton in the Pilbara region of -
production/onslow_2006/report/modelling_methodology.tex
r3344 r3375 16 16 The hazard itself is then reported as a maximum wave height at a fixed contour line near the coastline, 17 17 (e.g. 50m). This is how the preliminary tsunami hazard assessment was reported by GA 18 to FESA in September 2005 \cite{BC:FESA}. Th atassessment used the Method of Splitting Tsunamis (MOST)18 to FESA in September 2005 \cite{BC:FESA}. The assessment used the Method of Splitting Tsunamis (MOST) 19 19 \cite{VT:MOST} model. 20 20 %The maximal wave height at a fixed contour line near the coastline … … 26 26 27 27 MOST, which generates and propagates the tsunami wave from its source, is not adequate to 28 model the wave's impact tocommunities ashore.28 model the wave's impact on communities ashore. 29 29 To capture the \emph{impact} of a tsunami to a coastal community, 30 30 the model must be capable of capturing more detail about the wave, 31 31 particularly how it is affected by the local bathymetry, as well as the 32 local topography as the wave penetrates onshore.32 local topography as the wave moves onshore. 33 33 %the details of how waves are reflected and otherwise 34 34 %shaped by the local bathymetries as well as the dynamics of the … … 40 40 details of the wave and its interactions, a much finer resolution is 41 41 required than that of the hazard model. As a result, ANUGA concentrates 42 on a specific coastal community. MOST by contrast can toleratea42 on a specific coastal community. MOST by contrast uses a 43 43 coarser resolution and covers often vast areas. To develop the impact 44 from an earthquake event a distant source, we adopt thehybrid approach of44 from an earthquake event from a distant source, we adopt a hybrid approach of 45 45 modelling the event itself with MOST and modelling the impact with ANUGA. 46 46 In this way, the output from MOST serves as an input to ANUGA. 47 47 In modelling terms, the MOST output is a boundary condition for ANUGA. 48 48 49 The risk of th istsunami event cannot be determined until the49 The risk of the scenario tsunami event cannot be determined until the 50 50 likelihood of the event is known. GA is currently building a 51 51 complete probabilistic hazard map which is due for completion 52 later this year. Therefore, we report on the impact of a single53 tsunami event only. Asthe hazard map is completed, the impact52 in late 2006. We therefore report on the impact of a single 53 tsunami event only. When the hazard map is completed, the impact 54 54 will be assessed for a range of events which will ultimately 55 55 determine a tsunami risk assessment for the NW shelf. -
production/onslow_2006/report/summary.tex
r3340 r3375 1 This report has described the impact toOnslow from a tsunami1 This report has described the impact on Onslow from a tsunami 2 2 generated by a Mw 9 earthquake on the Sunda Arc subduction zone 3 3 occurring at Highest Astronomical Tide, Lowest Astronomical Tide … … 10 10 in the inundation maps. An onshore grid resolution of the order 11 11 of tens of metres is required, however, it is more important that the data 12 isaccurate (or at least well known).12 are accurate (or at least well known). 13 13 These scenarios will be revisited once the probabilistic models 14 14 are complete so that a suite of tsunami impact assessments can be made. -
production/onslow_2006/report/tsunami_scenario.tex
r3340 r3375 1 1 The tsunamigenic event used in this report was developed for a 2 2 preliminary tsunami hazard assessment study delivered by GA 3 to FESA in September 2005 ,4 \cite{BC:FESA}. In th atassessment, a suite of Mw 9 earthquakes3 to FESA in September 2005 4 \cite{BC:FESA}. In the assessment, a suite of Mw 9 earthquakes 5 5 were evenly spaced along the Sunda Arc subduction zone and there 6 6 was no consideration of the likelihood of each event. … … 26 26 Figure \ref{fig:mw9} shows the maximum wave height of a tsunami initiated 27 27 by a Mw 9 event off 28 the coast of Java. It is this event whichprovides the source and28 the coast of Java. This event provides the source and 29 29 boundary condition to the 30 30 inundation model presented in Section \ref{sec:anuga}. -
production/pt_hedland_2006/make_report.py
r3374 r3375 226 226 fid.write(s) 227 227 228 s = '\\begin{sidewaysfigure} \n \centerline{ \includegraphics[width=\pa gewidth]{../report_figures/%s}}' %gauge_map228 s = '\\begin{sidewaysfigure} \n \centerline{ \includegraphics[width=\paperwidth]{../report_figures/%s}}' %gauge_map 229 229 fid.write(s) 230 230 -
production/pt_hedland_2006/report/anuga.tex
r3365 r3375 31 31 \end{itemize} 32 32 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 3.6m AHD 39 and -3.9m 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. 50 51 The initial conditions used for this scenario are MSL, HAT and LAT. 33 The initial conditions used for this scenario are MSL, HAT and LAT which 34 are defined in Section \ref{sec:data}. 52 35 The dynamics of 53 36 tidal effects (that is, the changes in water height over time for … … 58 41 the friction coefficients, and 59 42 thus it has not been incorporated 60 in the scenario presented in this report. The43 in the scenario. The 61 44 results are therefore likely to be over estimations. 62 45 -
production/pt_hedland_2006/report/computational_setup.tex
r3372 r3375 13 13 the tsunami wave at the boundary is approximately 20km. A much 14 14 higher model resolution will be used in developing the probabilistic 15 models for further studies.}. Historical run up heights are15 models for further studies.}. Historical run-up heights are 16 16 of the order of 10m and we would expect that a tsunami wave 17 17 would penetrate no higher for this scenario. … … 22 22 approximately 10m elevation. 23 23 24 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 thecomplex 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 cell24 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 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 25 25 area will be the maximum cell area within the defined region and that each 26 26 cell in the region does not necessarily have the same area.}. … … 38 38 Region 1: Surrounds Port Hedland town centre with a cell area of 500 m$^2$ (lateral accuracy 30m). 39 39 Region 2: Surrounds the coastal region with a cell area of 50000 m$^2$ (lateral accuracy 220m). 40 Region 3: Water depths to the 50m contour line (approximately) with a cell area of 250000 m$^2$ (later accuracy 700m).40 Region 3: Water depths to the 50m contour line (approximately) with a cell area of 250000 m$^2$ (lateral accuracy 700m). 41 41 } 42 42 \label{fig:pt_hedland_area} -
production/pt_hedland_2006/report/damage.tex
r3373 r3375 43 43 district level derived from the ABS 2001 Census. 44 44 45 From this database, we find that there 46 are? residential structures and a population of approximately ?45 There are an estimated 46 ? residential structures and a population of approximately ? 47 47 in Port Hedland\footnote{Population is determined by census data and the 1999 48 48 ABS housing survey}. -
production/pt_hedland_2006/report/data.tex
r3373 r3375 1 1 The calculated run-up height and resulting inundation ashore is determined by 2 the input topographic and bathymetric elevation, the forcing terms, the2 the input topographic and bathymetric elevation, the 3 3 initial and boundary conditions, as well as the cell area of the computational 4 4 mesh. … … 8 8 errors to the inundation maps, in addition to the range of approximations 9 9 made within the model. 10 11 As part of the CRA, it was decided to provide results for the 12 extremes of the tidal regimes to understand the potential range of impacts 13 from the event. In this study, we used the Australian Height Datum (AHD) 14 as the vertical datum. Mean Sea Level (MSL) is approximately equal to 15 0m AHD with the Highest Astronomical Tide (HAT) 16 and Lowest Astronomical Tide (LAT) defined as 3.6m AHD 17 and -3.9m AHD respectively for Port Hedland \cite{antt:06}. 18 These values are tidal 19 predictions based on continous tidal observations from Standard Ports 20 over a period of 21 at least one year, with the Australian Hydrographic Service 22 recommending this be extended to three years to capture 23 changes to the mean sea level. Onslow is listed as 24 a Standard Port. As an aside, current work at GA is 25 extracting information from LANDSAT imagery to reconstruct the 26 tidal variations for various WA locations. Future modelling of 27 these areas will incorporate this information. 10 28 11 29 Data for this study have been sourced from a number of agencies. With … … 22 40 Figure \ref{fig:contours_compare}(a) shows the contour lines for 23 41 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 42 that the extent of the tidal inundation is exaggerated. 43 In particular, 44 parts of Port Hedland are inundated at HAT before a tsunami has 45 even been generated. 46 This is due to 25 47 short comings with the digital elevation model (DEM) created from 26 48 the DTED data. … … 70 92 Appendix \ref{sec:metadata} provides more details and the supporting metadata 71 93 for this study, including images of the data extent. 72 Table \ref{table:data} summarises the available data for this study.94 Table \ref{table:data} summarises the available data. 73 95 74 96 \begin{table} -
production/pt_hedland_2006/report/discussion.tex
r3364 r3375 1 The purpose of this section then is to show the differences to theimpact2 when each data set is used to demonstratethe importance of using the1 The purpose of this section is to show the differences of impact 2 and the importance of using the 3 3 best possible data set. Given that the 1.5m AHD contour 4 4 line is further from the coast for the DTED data than the DLI data, we -
production/pt_hedland_2006/report/execsum.tex
r3364 r3375 13 13 This report describes the modelling methodology and the results 14 14 for a particular tsunami-genic event as it impacts the Port Hedland township 15 and its surrounds. This report and the decision support tool are the 15 and its surrounds. Future studies 16 will present a series of scenarios for a range of return periods to 17 assist FESA in developing appropriate plans for a range of event impacts. 18 This report and the decision support tool are the 16 19 June 2006 deliverables of the Collaborative Research Agreement 17 20 between FESA and GA. -
production/pt_hedland_2006/report/interpretation.tex
r3373 r3375 2 2 tsunami wave and resultant impact ashore is described in this section. 3 3 We have 4 chosen a number of locations which we believe would be important5 in an emergency situation, such as the hospital and power station ,or4 chosen a number of locations which we believe would be critical 5 in an emergency situation, such as the hospital and power station; or 6 6 effect recovery efforts, such as the airport and docks. These locations 7 7 are described in Table \ref{table:locations} and shown in … … 28 28 %2 & 100m Olympic male freestyle \\ \hline 29 29 %3 & mackeral \\ \hline 30 4 & average person maintainfor 1000m \\ \hline30 4 & average person can maintain running for 1000m \\ \hline 31 31 %5 & blue whale \\ \hline 32 32 10 & 100m Olympic male sprinter \\ \hline -
production/pt_hedland_2006/report/introduction.tex
r3364 r3375 13 13 The key role of the Risk Research Group at Geoscience Australian 14 14 is to develop knowledge on the risk from natural and 15 human-caused hazards for input to policy and operational decision mak ers16 for the mitigation of risk to Australian communities. The group achieves15 human-caused hazards for input to policy and operational decision making 16 on the mitigation of risk to Australian communities. The Group achieves 17 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 18 support tools that assess the hazard, vulnerability and risk posed by hazard 19 events. 20 To develop an understanding of the tsunami risk, GA has developed 21 decision support tools, consisting of inundation 21 22 maps overlaid on aerial photography of the region 22 23 detailing critical infrastructure as well as damage modelling estimates. … … 24 25 This report is the first in a series of tsunami assessments 25 26 of the North West Shelf. The scenario used for this study has 26 an unknown return period, however it isa plausible event (see27 Section \ref{sec:tsunamiscenario} .27 an unknown return period, but considered a plausible event (see 28 Section \ref{sec:tsunamiscenario}). 28 29 Subsequent assessments will use refined hazard models with 29 30 associate return rates for other localities, as advised by FESA. 30 In this report,31 the methods, assumptions and impacts of a32 single tsunami source scenario is described for the Port Hedland area in the33 North West shelf region. Future studies34 will present a series of scenarios for a range of return periods to35 assist FESA in developing appropriate plans for a range of event impacts.36 31 Pt Hedland has a population of around 42000 (including South Hedland) and 37 32 is part of the Pilbara region of Western Autralia -
production/pt_hedland_2006/report/modelling_methodology.tex
r3364 r3375 16 16 The hazard itself is then reported as a maximum wave height at a fixed contour line near the coastline, 17 17 (e.g. 50m). This is how the preliminary tsunami hazard assessment was reported by GA 18 to FESA in September 2005 \cite{BC:FESA}. Th atassessment used the Method of Splitting Tsunamis (MOST)18 to FESA in September 2005 \cite{BC:FESA}. The assessment used the Method of Splitting Tsunamis (MOST) 19 19 \cite{VT:MOST} model. 20 20 %The maximal wave height at a fixed contour line near the coastline … … 26 26 27 27 MOST, which generates and propagates the tsunami wave from its source, is not adequate to 28 model the wave's impact tocommunities ashore.28 model the wave's impact on communities ashore. 29 29 To capture the \emph{impact} of a tsunami to a coastal community, 30 30 the model must be capable of capturing more detail about the wave, 31 31 particularly how it is affected by the local bathymetry, as well as the 32 local topography as the wave penetrates onshore.32 local topography as the wave moves onshore. 33 33 %the details of how waves are reflected and otherwise 34 34 %shaped by the local bathymetries as well as the dynamics of the … … 40 40 details of the wave and its interactions, a much finer resolution is 41 41 required than that of the hazard model. As a result, ANUGA concentrates 42 on a specific coastal community. MOST by contrast can toleratea42 on a specific coastal community. MOST by contrast uses a 43 43 coarser resolution and covers often vast areas. To develop the impact 44 from an earthquake event a distant source, we adopt thehybrid approach of44 from an earthquake event from a distant source, we adopt a hybrid approach of 45 45 modelling the event itself with MOST and modelling the impact with ANUGA. 46 46 In this way, the output from MOST serves as an input to ANUGA. 47 47 In modelling terms, the MOST output is a boundary condition for ANUGA. 48 48 49 The risk of th istsunami event cannot be determined until the49 The risk of the scenario tsunami event cannot be determined until the 50 50 likelihood of the event is known. GA is currently building a 51 51 complete probabilistic hazard map which is due for completion 52 later this year. Therefore, we report on the impact of a single53 tsunami event only. Asthe hazard map is completed, the impact52 in late 2006. We therefore report on the impact of a single 53 tsunami event only. When the hazard map is completed, the impact 54 54 will be assessed for a range of events which will ultimately 55 55 determine a tsunami risk assessment for the NW shelf. … … 97 97 %\end{figure} 98 98 99 100 101 102 99 -
production/pt_hedland_2006/report/summary.tex
r3364 r3375 1 This report has described the impact to Onslowfrom a tsunami1 This report has described the impact on Port Hedland from a tsunami 2 2 generated by a Mw 9 earthquake on the Sunda Arc subduction zone 3 3 occurring at Highest Astronomical Tide, Lowest Astronomical Tide … … 10 10 in the inundation maps. An onshore grid resolution of the order 11 11 of tens of metres is required, however, it is more important that the data 12 isaccurate (or at least well known).12 are accurate (or at least well known). 13 13 These scenarios will be revisited once the probabilistic models 14 14 are complete so that a suite of tsunami impact assessments can be made. -
production/pt_hedland_2006/report/tsunami_scenario.tex
r3364 r3375 1 1 The tsunamigenic event used in this report was developed for a 2 2 preliminary tsunami hazard assessment study delivered by GA 3 to FESA in September 2005 ,4 \cite{BC:FESA}. In th atassessment, a suite of Mw 9 earthquakes3 to FESA in September 2005 4 \cite{BC:FESA}. In the assessment, a suite of Mw 9 earthquakes 5 5 were evenly spaced along the Sunda Arc subduction zone and there 6 6 was no consideration of the likelihood of each event. … … 26 26 Figure \ref{fig:mw9} shows the maximum wave height of a tsunami initiated 27 27 by a Mw 9 event off 28 the coast of Java. It is this event whichprovides the source and28 the coast of Java. This event provides the source and 29 29 boundary condition to the 30 30 inundation model presented in Section \ref{sec:anuga}.
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