Changeset 7219


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Timestamp:
Jun 18, 2009, 5:34:10 PM (16 years ago)
Author:
ole
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Updated eyewitness sections

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  • anuga_work/publications/boxing_day_validation_2008/patong_validation.tex

    r7217 r7219  
    5252influence of inundation extent. Sensitivity analysis also showed that
    5353the model predictions are comparatively insensitive to large changes
    54 in friction and small perturbations in wave weight at the 100m depth
     54in friction and small perturbations in wave weight at the 100 m depth
    5555contour.
    5656% to be added when submitted to ocean dynamics
     
    372372Human made build and structures can significantly effect tsunami
    373373inundation. The location and size and number of floors of the
    374 buildings in Patong Bay were extracted from a GIS data set provide by
    375 the CCOP in Thailand (\cite{FIXME from RICHARD}). The heights of these
     374buildings in Patong Bay were extracted from a GIS data set provided by
     375the CCOP in Thailand (see acknowledgements at the end of this paper).
     376The heights of these
    376377buildings were estimated assuming that each floor has a height of 3 m.
    377378
     
    389390al~\cite{szczucinski06} for further details.
    390391
    391 \subsubsection{Eyewitness Accounts}
    392 FIXME (Ole): I think we should move this to where the results are
    393 presented.  Eyewitness accounts detailed in~\cite{papadopoulos06}
     392\subsubsection{Eyewitness Accounts}\label{sec:eyewitness data}
     393Eyewitness accounts detailed in~\cite{papadopoulos06}
    394394report that most people at Patong Beach observed an initial retreat of
    395395the shoreline of more than 100 m followed a few minutes later by a
     
    399399minutes after the source rupture (09:55am to 10:05am local time).
    400400
    401 Two videos were sourced from the internet (FIXME: Where?) which
    402 include footage of the tsunami in Patong Bay on the day of the Indian
    403 Ocean Tsunami. Both videos show an already inundated group of
    404 buildings, they then show what is to be assumed as the second and
    405 third waves approaching and further flooding the town. The first video
    406 is in the very north filmed from what is believed to be the roof of
    407 the Novotel Hotel marked 'North' in Figure
     401Two videos were sourced from the internet (FIXME: Richar is chasing
     402this up) which include footage of the tsunami in Patong Bay on the day
     403of the Indian Ocean Tsunami. Both videos show an already inundated
     404group of buildings, they then show what is to be assumed as the second
     405and third waves approaching and further flooding the buildings and
     406street.  The first video is in the very north filmed from what is
     407believed to be the roof of the Novotel Hotel marked 'North' in Figure
    408408\ref{fig:gauge_locations}. The second video is in the very south
    409 filmed from a building next door to the Comfort Resort near the corner
    410 of Ruam Chai St and FIXME(Ole): XXXX.  This location is marked 'south'
    411 in Figure \ref{fig:gauge_locations} and Figure~\ref{fig:video_flow}
    412 shows stills from this video. Both videos were used to estimate flow
    413 speeds and inundation dephts over time.
     409filmed from the second story of a building next door to the Comfort
     410Resort near the corner of Ruam Chai St and Thaweewong Road.  This
     411location is marked 'south' in Figure \ref{fig:gauge_locations} and
     412Figure~\ref{fig:video_flow} shows stills from this video. Both videos
     413were used to estimate flow speeds and inundation dephts over time.
    414414
    415415\begin{figure}[ht]
     
    429429were found to be in the range of 5 to 7 metres per second (+/- 2 m/s)
    430430in the north and 0.5 to 2 metres per second (+/- 1 m/s) in the south.
     431Water depths could also
     432be estimated from the videos by the level at which water rose up the
     433sides of buildings such as shops. Our estimates are in the order of
     4341.5 to 2.0 metres (+/- 0.5 m).
     435Fritz ~\cite{fritz06} performed a detailed
     436analysis of video frames taken around Banda Aceh and arrived at flow
     437speeds in the range of 2 to 5 m/s.
    431438
    432439\begin{figure}[ht]
     
    810817timeseries are shown in Figure \ref{fig:onshore_timeseries}. The
    811818latter coincide with locations where video footage from the event is
    812 available.
     819available as described in Section \ref{sec:eyewitness data}.
    813820
    814821\begin{figure}[ht]
     
    839846\end{figure}
    840847
    841 FIXME(Ole): This is a repetition of an earlier section. I'll look at
    842 that soon. 
    843 Crude flow rates can be estimated with landmarks found in
    844 satellite imagery and the use of a GIS and were found to be in the
    845 range of 5 to 7 metres per second (+/- 2 m/s) in the north and 0.5 to
    846 2 metres per second (+/- 1 m/s) in the south. This is in agreement
    847 with results from our simulations. Our modelled flow rates show
    848 maximum values in the order of 0.2 to 2.6 m/s in the south and 0.1 to
    849 3.3 m/s for the north as shown in the figures. Water depths could also
    850 be estimated from the videos by the level at which water rose up the
    851 sides of buildings such as shops. Our estimates are in the order of
    852 1.5 to 2.0 metres (+/- 0.5 m). This is in the same range as our
    853 modelled maximum depths of 1.4 m in the north and 1.5 m in the south
    854 as seen in the figure. Fritz ~\cite{fritz06} performed a detailed
    855 analysis of video frames taken around Banda Aceh and arrived at flow
    856 speeds in the range of 2 to 5 m/s.
     848
     849The estimated depths and flow rates given in Section \ref{sec:eyewitness data} are shown
     850together with the modelled depths and flow rates obtained from the model in
     851Table \ref{tab:depth and flow comparisons}.
     852
     853\begin{table}
     854\[
     855  \begin{array}{|l|cc|cc|}
     856  \hline
     857                 & \multicolumn{2}{|c|}{\mbox{Depth [m]}}
     858                 & \multicolumn{2}{c|}{\mbox{Flow [m/s]}} \\
     859                 & \mbox{Observed} & \mbox{Modelled}
     860                 & \mbox{Observed} & \mbox{Modelled} \\ \cline{2-5}                 
     861    \mbox{North} & 1.5-2 & 1.4 & 5-7 & 0.1 - 3.3 \\
     862    \mbox{South} & 1.5-2 & 1.5 & 0.5-2 & 0.2 - 2.6 \\ \hline
     863  \end{array}
     864\]
     865\label{tab:depth and flow comparisons}
     866\end{table}
     867
     868%can be estimated with landmarks found in
     869%satellite imagery and the use of a GIS and were found to be in the
     870%range of 5 to 7 metres per second (+/- 2 m/s) in the north and 0.5 to
     871%2 metres per second (+/- 1 m/s) in the south.
     872
     873Given the uncertainties in both model and observations, there is agreement
     874between the values obtained from the videos and the simulations.
     875
     876% Our modelled flow rates show
     877%maximum values in the order of 0.2 to 2.6 m/s in the south and 0.1 to
     878%3.3 m/s for the north as shown in the figures. Water depths could also
     879%be estimated from the videos by the level at which water rose up the
     880%sides of buildings such as shops. Our estimates are in the order of
     881%1.5 to 2.0 metres (+/- 0.5 m). This is in the same range as our
     882%modelled maximum depths of 1.4 m in the north and 1.5 m in the south
     883%as seen in the figure.
     884
    857885
    858886
     
    863891\label{sec:sensitivity}
    864892This section investigates the effect of different values of Manning's
    865 friction coefficient, changing waveheight at the 100m depth contour,
     893friction coefficient, changing waveheight at the 100 m depth contour,
    866894and the presence and absence of buildings in the elevation dataset on
    867895model maximum inundation.
     
    958986
    959987A simple sensitivity analysis was performed to assess the influence of
    960 small changes in friction, wave-height at the 100m depth contour and
     988small changes in friction, wave-height at the 100 m depth contour and
    961989the presence of buildings and other structures on the model
    962990predictions. The presence of buildings has the greatest influence on
     
    970998of Mathematics, The Australian National University. The authors would
    971999like to thank Niran Chaimanee from the CCOP, Thailand for providing
    972 the post 2004 tsunami survey data and the elevation data for Patong
    973 beach, Prapasri Asawakun from the Suranaree University of Technology
    974 and Parida Kuneepong for supporting this work; and Drew Whitehouse
    975 from the Australian National University for preparing the animation.
     1000the post 2004 tsunami survey data, building footprints, aereal
     1001photography and the elevation data for Patong beach, Prapasri Asawakun
     1002from the Suranaree University of Technology and Parida Kuneepong for
     1003supporting this work; and Drew Whitehouse from the Australian National
     1004University for preparing the animation.
    9761005
    9771006\section{Appendix}
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