Changeset 3477
- Timestamp:
- Aug 9, 2006, 4:10:32 PM (19 years ago)
- Location:
- production
- Files:
-
- 3 added
- 11 edited
Legend:
- Unmodified
- Added
- Removed
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production/onslow_2006/make_report.py
r3396 r3477 237 237 fid.write(s) 238 238 239 s = '\\begin{figure}[hbt] \n \centerline{ \includegraphics[width= 150mm, height=100mm]{../report_figures/%s}}' %gauge_map239 s = '\\begin{figure}[hbt] \n \centerline{ \includegraphics[width=\paperwidth]{../report_figures/%s}}' %gauge_map 240 240 fid.write(s) 241 241 -
production/onslow_2006/report/acknowledgements.tex
r3361 r3477 10 10 for nominated areas and ably assisting in queries regarding bathymetric data 11 11 \item The WA DLI in their assistance in supplying the onshore 20m DEM for use in this project 12 \item The National Mapping Division, in particular Hamish Anderson, for sourcing onshore12 \item The National Mapping and Information Group, in particular Hamish Anderson, for sourcing onshore 13 13 data for the FESA project and building a DEM 14 14 suitable for purposes of inundation modelling … … 22 22 \item The engineering section in RAMP for calculating the damage estimates, 23 23 and finally 24 \item FESA, for providing a range ofsupport to the project.24 \item FESA, for providing strong support to the project. 25 25 \end{itemize} -
production/onslow_2006/report/damage.tex
r3404 r3477 43 43 and the injury categories are presented in Table \ref{table:injury}. 44 44 Input data comprised of resident population data at census 45 district level derived from the ABS 2001 Census. Give the exposure database is45 district level derived from the ABS 2001 Census. Given the exposure database is 46 46 based on residential structures, we assume that the 47 47 population are at home and sleeping when the event occurs and that there is no -
production/onslow_2006/report/interpretation.tex
r3407 r3477 3 3 We have 4 4 chosen a number of locations to illustrate the features 5 of the tsunami as it approaches Onslow and runs ashore.6 These locations have be chosen as we believe they would5 of the tsunami as it approaches and impacts Onslow. 6 These locations have been chosen as we believe they would 7 7 either be critical 8 8 in an emergency situation, (e.g. the hospital and power station) or -
production/onslow_2006/report/modelling_methodology.tex
r3402 r3477 82 82 inundation model presented in Section \ref{sec:anuga}. 83 83 84 \begin{figure}[h bt]84 \begin{figure}[h] 85 85 86 86 \centerline{ \includegraphics[width=140mm, height=100mm] -
production/onslow_2006/report/references.tex
r3407 r3477 3 3 \bibitem{CB:ausgeo} Cummins, P. and Burbidge, D. (2004) 4 4 Small threat, but warning sounded for tsunami research. AusGeo News 75, 4-7. 5 6 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi 7 Hazard Assesment of Western Australia. Report 8 to the Fire and Emergency Services Authority of Western Australia. 5 9 6 10 \bibitem{VT:MOST} Titov, V.V., and F.I. Gonzalez (1997) … … 17 21 Sisano Lagoon, Papua New Guinea. 18 22 Geophysical Research Letters, 26, 23, 3513-3516. 19 20 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi21 Hazard Assesment of Western Australia. Report22 to the Fire and Emergency Services Authority of Western Australia.23 23 24 24 \bibitem{ON:modsim} Nielsen, O., Roberts, Gray, D., McPherson, A. and -
production/pt_hedland_2006/project.py
r3366 r3477 72 72 73 73 gauge_filename = gaugedir + 'gauge_location_port_hedland.csv' 74 gauge_checking = gaugedir + 'gauge_checking_test.csv' 74 75 buildings_filename = gaugedir + 'pt_hedland_res.csv' 75 76 buildings_filename_out = 'pt_hedland_res_modified.csv' -
production/pt_hedland_2006/report/damage.tex
r3380 r3477 11 11 residential collapse vulnerability models and casualty models were developed. 12 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 13 framed residential construction based on limited data found in the literature 14 as well as observations from the Indian Ocean tsunami event. 15 The models predict the collapse 14 16 probability for an exposed population and incorporates the following 15 17 parameters known to influence building damage \cite{papathoma:vulnerability}, … … 41 43 and the injury categories are presented in Table \ref{table:injury}. 42 44 Input data comprised of resident population data at census 43 district level derived from the ABS 2001 Census. 45 district level derived from the ABS 2001 Census. Given the exposure database is 46 based on residential structures, we assume that the 47 population are at home and sleeping when the event occurs and that there is no 48 warning. Therefore, the casualty estimates would be significantly different 49 if the event were to occur during the day when people are at work, travelling 50 in a vehicle, spending time on the beach, for example, or if the event occurred 51 during a major holiday season. 44 52 45 53 South Hedland is not exposed to inundation in this 46 scenario, we therefore restrict the damage modelling to a smaller section of the NBED.47 For the damage modellin g, there54 scenario, therefore we restrict the damage modelling to a smaller section of the NBED. 55 For the damage modellin, there 48 56 are an estimated 3700 residential structures and a population of approximately 49 57 11500\footnote{Population is determined by census data and the 1999 50 58 ABS housing survey}. 51 The damage to the residential structures in this section of the Port Hedland community 52 is summarised in Table \ref{table:damageoutput}. The percentage 53 of repair cost to structural value shown is based on the total structural value 54 of \$M. Likewise, the percentage of contents loss shown is 55 based on the total contents value of \$M for 56 the region. 57 %The injuries sustained is summarised in Table \ref{table:injuries}. 58 The HAT scenario is the only scenario to cause damage 59 to Port Hedland with around \% of the population affected. 60 61 \begin{table}[h] 62 \begin{center} 63 \caption{Residential damage sustained for the MSL, HAT and LAT scenarios.} 64 \label{table:damageoutput} 65 \begin{tabular}{|l|l|l|l|l|l|l|}\hline 66 &Houses & Houses & Structural & Repair Cost \% & Contents & Contents Loss \% \\ 67 &Inundated & Collapsed & Repair Cost 68 & of Total Value & Losses & of Total Value \\ \hline 69 %MSL & & 1 & \$ & \% & \$ & \% \\ \hline 70 HAT & &\$M & &\$M & & \\ \hline 71 %LAT & & & & & & \\ \hline 72 \end{tabular} 73 \end{center} 74 \end{table} 75 76 %\begin{table}[h] 77 %\begin{center} 78 %\caption{Injuries sustained for the MSL, HAT and LAT scenarios.} 79 %\label{table:injuries} 80 %\begin{tabular}{|l|l|l|l|l|l|}\hline 81 %&Minor & Moderate & Serious & Fatal \\ \hline 82 %MSL & & & & \\ \hline 83 %HAT & & & & \\ \hline 84 %LAT & & & & \\ \hline 85 %\end{tabular} 86 %\end{center} 87 %\end{table} 59 HAT is the only scenario in which damage occurs, and it is restricted to one residential 60 structure\footnote{The structure is classed as agricultural.} with no injuries sustained. 88 61 89 62 Tsunami impact on indigeneous communities should be considered 90 especiallyas a number of communities exist in coastal regions of north west WA.63 in the future as a number of communities exist in coastal regions of north west WA. 91 64 These communities are typically not included in national residential databases 92 and would be therefore overlooked in damage model estimates. 65 and would therefore be overlooked in damage model estimates. 66 There are four indigeneous communities located in this study area; Tjalkli Warra, Jinparinya, 67 Punju Ngarugundi Njamal and Tjalka Boorda\footnote{get a reference from Anita}. 68 Tjalka Boorda is located the closest to the headland and remains free of inundation 69 for each scenario. 93 70 94 There are four indigeneous communities located in this study areal Tjalkli Warra, Jinparinya,95 Punju Ngarugundi Njamal and Tjalka Boorda.96 Tjalka Boorda is located in a potentially vulnerable97 position98 (on the headland) whose population is not registered99 \footnote{get a reference from Anita}.100 71 %The community is not affected for any of the scenarios (see Figure 101 72 %\ref{fig:gaugeTjalkaBoordaAboriginalReserve}). -
production/pt_hedland_2006/report/execsum.tex
r3394 r3477 11 11 threat and develop detailed response plans for a range of plausible events. 12 12 13 This report describes the modelling methodology and first results 14 for a particular tsunami-genic event as it impacts the Port Hedland township 15 and its surrounds. Future studies 13 This report describes the modelling methodology and initial results 14 for a specific tsunami-genic event as it impacts the Port Hedland township 15 and its surrounds. In particular, maximum inundation maps are shown 16 and discussed for the event occurring at mean sea level as well as highest and lowest astronomical tide. 17 The inundation results allow estimation of the number of houses inundated and collapsed, as well as 18 the numbers of persons affected. 19 For this specific event at high tide, 1 house is inundated and there are no injuries. 20 21 Future studies 16 22 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. 23 assist FESA in developing appropriate plans for a range of event impacts. 24 This will also allow an assessment of the relative tsunami risk 25 to communities along the NW Shelf of WA. 18 26 This report and the decision support tool are the 19 June 2006 deliverables of the Collaborative Research Agreement 20 between FESA and GA.27 June 2006 deliverables of the Collaborative Research Agreement, 28 Tsunami Impact Modelling for WA, between FESA and GA. 21 29 30 -
production/pt_hedland_2006/report/interpretation.tex
r3380 r3477 1 1 The main features of the 2 tsunami wave and resultant i mpactashore is described in this section.2 tsunami wave and resultant inundation ashore is described in this section. 3 3 We have 4 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 effect recovery efforts, such as the airport and docks. These locations 4 chosen a number of locations to illustrate the features 5 of the tsunami as it approaches and impacts Port Hedland. 6 These locations have been chosen as we believe they would 7 either be critical 8 in an emergency situation, (e.g. the hospital) or 9 effect recovery efforts, (e.g. the airport and wharfs). These locations 7 10 are described in Table \ref{table:locations} and shown in 8 Figure \ref{fig:points}. The water's stage and speed are shown 11 Figure \ref{fig:points}. The water's stage and speed 12 at each of these locations are shown 9 13 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 14 Appendix \ref{sec:timeseries}. It is assumed that the earthquake is 15 generated at the beginning of the simulation, i.e. time = 0 minutes. 16 Stage is defined as the absolute 17 water level (in metres) relative to AHD 18 \footnote{For an offshore location such as Middle Channel, 19 the initial water level will be that of the tidal scenario. In the 20 case of MSL, this water level will be 0. As the tsunami wave moves 21 through this point, the water height may grow and thus the stage will 22 represent the amplitude of the wave. For an onshore location such as the 23 Hospital, the actual water depth will be the difference between 24 the stage and the elevation at that point. Therefore, at the beginning 25 of the simulation, there will be no water onshore and therefore 26 the stage and the elevation will be identical.}. Both stage and speed 27 (in metres/second) for 28 each scenario (HAT, MSL and LAT) are shown 12 29 on consistent scales to allow comparison between point locations. 13 %The graphs show these time series for14 %the three cases; 1.5m AHD, 0m AHD and -1.5m AHD so that comparisons can15 %be made.16 30 As a useful benchmark, Table \ref{table:speedexamples} 17 describes typical examples for a range of velocities found in the31 describes typical examples for a range of speeds found in the 18 32 simulations. 19 33 20 \begin{table} 34 \begin{table}[h] 35 \label{table:speedexamples} 36 \caption{Examples of a range of velocities.} 21 37 \begin{center} 22 \caption{Examples of a range of velocities.}23 \label{table:speedexamples}24 38 \begin{tabular}{|l|l|}\hline 25 39 {\bf Velocity (m/s)} & {\bf Example} \\ \hline … … 36 50 \end{table} 37 51 38 {\bf this needs to reflect what happens for port hedland} 52 A tsunami wave typically has a small amplitude and typically travels at 53 100's of kilometres per hour. 54 The low amplitude complicates the ability to detect 55 the wave. As the water depth decreases, 56 the speed of the wave 57 decreases and the amplitude grows. Another important feature of tsunamis 58 is drawdown. This means that the water is seen to retreat from the beaches 59 before a tsunami wave 60 impacts that location. Other features 61 include reflections (where the wave is redirected due to the 62 influence 63 of the coast) and shoaling (where the wave's amplitude is amplified 64 close to the coast due to wave interactions). 65 These features are seen in the MSL scenario; 66 there is a small wave, followed 67 by a large drawdown and then a large secondary wave. 68 There are variations in the behaviour for the 69 HAT and LAT scenarios, and these will be explained below. 70 71 The features described above will be 72 illustrated for the MSL case by the Middel Channel location, 73 Figure \ref{fig:gaugeMiddleChannel}. 74 The first, small wave can be seen at around 230 mins (shown in red), 75 with an amplitude of around 0.3 m\footnote{In this 76 scenario, the initial water level is 0 m, which means that 77 the actual amplitude is the difference between the stage value 78 and the initial water level; 0.3 - 0}. 79 The drawdown of around 2.6 m (i.e. 0.27 - -2.37) then occurs at around 270 mins 80 (i.e. 4.5 hours after the event has been generated), before 81 the second wave arrives at around 280 mins 82 with an amplitude of around 1.8 m (i.e. 1.8 - 0). Subsequent waves 83 are evident with decreased amplitudes. 84 These features are replicated at each of the offshore points (those 85 points with negative elevation as shown in Table \ref{table:locations}). 86 The speed of the tsunami wave is greatest for those locations 87 in shallowest water. Middle Channel is in shallower water 88 than Mt Goldworthy Wharf - Berth 89 and the maximum speeds measured are 1.93 m/s and 2.9 m/s respectively. 39 90 40 Examining the offshore locations shown in Appendix 41 \ref{sec:timeseries}, the drawdown prior to the tsunami wave 42 arriving at the shore can be seen to occur around 230 mins 43 (3.8 hours) after the tsunami is generated. 44 Prior to the drawdown, maximum amplitudes are approximately 50cm at 45 West of Groyne (Figure ) and 46 the mouth of Beadon Creek 47 (Figure ), for example. 48 The first wave 49 after the drawdown ranges from approximately 2m in the 50 west of Beadon Bay (Figure ) 51 to over 3m in the mouth of Beadon Creek 52 (Figure ). 53 The speed 54 sharply increases at drawdown with further increases as the 55 wave grows in amplitude. 56 There is an increased amplitude of approximately 4m found in 57 east of Beadon Bay for the secondary wave, as opposed to the first wave. 58 This feature is also evident at the West of Groyne location but 59 with decreased amplitude. 60 This may be due to the geography of the bay, including the groyne west of 61 the creek mouth opening, the local bathymetry 62 and the direction of the tsunami wave. 91 There are variations in these behaviours for the HAT and LAT scenarios. 92 Referring again to the Middle Channel location (Figure 93 \ref{fig:gaugeMiddleChannel}), 63 94 64 The maximum speed found for the offshore locations occur at the West of 65 Groyne location (Figure ). 66 The speeds at west and east of Beadon Bay are quite similar 67 (Figure and Figure ). 68 However, there are increased amplitudes (from drawdown to maximum 69 amplitude), in the eastern location which is in shallower water than the western 70 location. 71 Subsequent drawdowns are seen as the multitude of waves which make up the 72 event propagate towards the shore. 95 {\bf stuff to write in here about the HAT, LAT scenarios } 73 96 74 %At some gauge locations, these 75 %subsequent waves cause significantly increased inundation than that of 76 %the first wave. This is particularly seen at the Beadon Creek Docks, 77 %West of Groyne and Beadon Creek locations. 97 The geography of the Port Hedland area has played a role in offering 98 some protection to the Port Hedland community. The tsunami wave is 99 travelling from the north west of the area. The opening of the channel faces 100 northeast and it is 101 offered some protection from the headland to its west. The tsunami wave impacts 102 the headland east of the channel, with the north facing finger playing a role 103 in the behaviour of the tsunami wave. There are a number of reflections 104 occurring around the headland to the east of the channel, with the reflections 105 not able to breach the finger. Inundation is evident on the finger which has 106 resulted from reflections from the headland rather than the incoming tsunami 107 wave. 108 Shoaling is also observed in this region 109 as a result of subsequent waves and reflections resulting from impact in 110 the region past the east of the headland. 78 111 79 It is evident that the sand dunes west of 80 Port Hedland are very effective in halting the tsunami wave, 81 see Figure \ref{fig:MSL_max_inundation}. 82 There is inundation between the western sand dunes at high 83 tide, Figure \ref{fig:HAT_max_inundation}, however, this water 84 penetrates from the north east (via 85 Port Hedland town centre) rather than seaward. (The DEM indicates that 86 this area is under 1.5m AHD which is automatically deemed to be inundated 87 at HAT.) 88 The same feature is evident for the sand dunes east of Port Hedland. 89 Currently, we do not model changes 90 to the bathymetry or topography due to effects of the water flow. 91 Therefore, we do not know whether these sand dunes would withstand the 92 transmitted energy of the tsunami wave. 93 The tsunami wave penetrates the river east of Port Hedland with a wave height 94 over 2m at the mouth 95 (Figure ) 96 and inundation 97 exceeding 1m found at the Beadon Creek south of dock location (Figure 98 ). 99 The wave penetrates the river east of Port Hedland with increasingly 100 greater inundation between the -1.5m AHD and 1.5m AHD simulations. 112 The tsunami wave has an amplitude of around 0.3 m for the MSL 113 scenario as it enters the 114 channel (Figure \ref{fig:gaugeMiddleChannel}. There seems to be 115 limited or no amplification of the tsunami wave as it moves into 116 the channel. The amplitude of the first tsunami wave is around 0.3 m at 117 the Mt Goldworthy Wharf - Berth location (shown in red in Figure 118 \ref{fig:gaugeMtGoldworthyWharf-Berth} and the maximum amplitude 119 is around 1.7 m. At MSL and LAT, there is limited inundation in the 120 areas surrounding the channel. At HAT, significantly increased 121 inundation is evident surrounding the channel, however, this inundation 122 is essentially caught in the tidal flat regions. 101 123 102 As expected, there is greater inundation at 1.5m AHD. The major road 103 into Port Hedland, the ? Rd, remains free of inundation for 104 all simulations with a small amount of inundation evident at HAT at 105 the intersection with Beadon Creek Rd. Beadon Creek Rd services the wharf in the 106 river which becomes increasingly inundated as the initial condition 107 changes from 0m AHD to 3.9m AHD. Only the 108 entry to the wharf on Beadon Creek Rd is sufficiently inundated to 109 stop traffic at -3.6m AHD. 110 At 1.5m AHD however, essentially the entire road would be impassable. 111 112 There is significant inundation of at 113 least 2m on the foreshore of Onslow for 0m AHD and 3.6m AHD. 114 The inundation extent increases as the initial condition increases above 0m AHD, 115 reaching the southern boundaries of 116 the road infrastructure in the Port Hedland town centre. 124 As expected, there is greater inundation for the HAT scenario with increased 125 extent, with minimal inundation found at the locations chosen. 126 The major road from the south, 127 the Great Northern Highway, remains free of inundation for all tidal 128 scenarios. At HAT, the road feeding off the highway, Anderson Street, 129 suffers inundation in the tidal flat region. The inundation would 130 be enough to halt usage of the road. 131 The road servicing Finucane Station remains 132 free of inundation, however there is a small section of the railway which 133 receives under 0.2 m of water. Likewise, there 134 is inundation on a section of the railway which services Port Hedland Station. 135 There is not enough information regarding 136 the railway structure to determine whether it would halt its usage (i.e. how 137 high has it been built). The airport remains 138 free of inundation for each tidal scenario. Section \ref{sec:impact} 139 details the impact estimates to the residential infrastructure. -
production/pt_hedland_2006/report/references.tex
r3364 r3477 1 2 3 1 \begin{thebibliography}{99} 4 2 … … 6 4 Small threat, but warning sounded for tsunami research. AusGeo News 75, 4-7. 7 5 6 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi 7 Hazard Assesment of Western Australia. Report 8 to the Fire and Emergency Services Authority of Western Australia. 9 8 10 \bibitem{VT:MOST} Titov, V.V., and F.I. Gonzalez (1997) 9 11 Implementation and testing of the Method of Splitting 10 12 Tsunami (MOST) model, NOAA Technical Memorandum ERL PMEL-112. 11 13 12 \bibitem{somerville:urs} Somerville, P., Thio, H.K. and Ichinose, G. (2005)13 Probabilistic Tsunami Hazard Analysis. Report delivered to Geoscience14 Australia 2005.14 %\bibitem{somerville:urs} Somerville, P., Thio, H.K. and Ichinose, G. (2005) 15 %Probabilistic Tsunami Hazard Analysis. Report delivered to Geoscience 16 %Australia 2005. 15 17 16 18 \bibitem{matsuyama:1999} … … 19 21 Sisano Lagoon, Papua New Guinea. 20 22 Geophysical Research Letters, 26, 23, 3513-3516. 21 22 \bibitem{BC:FESA} Burbidge, D. and Cummins, P. (2005) Preliminary Tsuanmi23 Hazard Assesment of Western Australia. Report24 to the Fire and Emergency Services Authority of Western Australia.25 23 26 24 \bibitem{ON:modsim} Nielsen, O., Roberts, Gray, D., McPherson, A. and … … 49 47 50 48 \end{thebibliography} 51
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