Ignore:
Timestamp:
Jul 21, 2006, 5:28:16 PM (19 years ago)
Author:
sexton
Message:

incorporating Trevor Dhu's comments

File:
1 edited

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  • production/onslow_2006/report/damage.tex

    r3397 r3402  
    1111residential collapse vulnerability models and casualty models were developed.
    1212The vulnerability models have been developed for
    13 framed residential construction using data from the Indian Ocean tsunami event. The models predict the collapse
     13framed residential construction based on limited data found in the literature
     14as well as observations from the Indian Ocean tsunami event.
     15The models predict the collapse
    1416probability for an exposed population and incorporates the following
    15 parameters known to influence building damage \cite{papathoma:vulnerability},
     17parameters thought to influence building damage \cite{papathoma:vulnerability},
    1618
    1719\begin{itemize}
    … …  
    4143and the injury categories are presented in Table \ref{table:injury}.
    4244Input data comprised of resident population data at census
    43 district level derived from the ABS 2001 Census.
     45district level derived from the ABS 2001 Census. Give the exposure database is
     46based on residential structures, we assume that the
     47population are at home and sleeping when the event occurs and that there is no
     48warning. Therefore, the casualty estimates would be significantly different
     49if the event were to occur during the day when people are at work, travelling
     50in a vehicle, spending time on the beach, for example, or if the event occurred
     51during a major holiday season.
    4452
    4553There are an estimated
    … …  
    5260of \$71M. Likewise, the percentage of contents loss shown is
    5361based on the total contents value of \$101M for
    54 the Onslow region.
     62the Onslow region\footnote{These values are based on 2003 figures.}.
    5563The injuries sustained is summarised in Table \ref{table:injuries}.
    5664The HAT scenario is the only scenario to cause damage
    … …  
    6573&Inundated & Collapsed & Repair Cost
    6674& of Total Value & Losses & of Total Value \\ \hline
    67 %MSL & & 1 & \$ &   \% & \$ &  \% \\ \hline
    6875HAT & 100 &2&\$8M & 11\%&\$16M & \%16 \\ \hline
    69 %LAT & & & & & & \\ \hline
     76MSL & & 1 & \$ &   \% & \$ &  \% \\ \hline
     77LAT & & & & & & \\ \hline
    7078\end{tabular}
    7179\end{center}
    … …  
    7886\begin{tabular}{|l|l|l|l|l|l|}\hline
    7987&Minor & Moderate & Serious & Fatal \\ \hline
    80 #MSL & &  &  & \\ \hline
    81 HAT & > 50 & < 50 & < 50 & < 50 \\ \hline
    82 #LAT & & & & \\ \hline
     88HAT & 10's & 10's & 10's & 10's \\ \hline
     89MSL & &  &  & \\ \hline
     90LAT & & & & \\ \hline
    8391\end{tabular}
    8492\end{center}
    … …  
    8694
    8795Tsunami impact on indigeneous communities should be considered
    88 especially as a number of communities exist in coastal regions of north west WA.
     96in the future as a number of communities exist in coastal regions of north west WA.
    8997These communities are typically not included in national residential databases
    9098and would be therefore overlooked in damage model estimates.
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