1 | |
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2 | This section deals with impact modelling which covers damage |
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3 | modelling and economic impact analysis. |
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4 | |
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5 | Damage modelling refers to damage |
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6 | to infrastructure as a result |
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7 | of the inundation described in the previous sections. The infrastructure |
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8 | refers to residential structures only and is sourced from the |
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9 | the National Building Exposure Database (NBED). The NBED has been |
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10 | created by Geoscience Australia so that consistent risk assessments for a range |
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11 | of natural hazards can be |
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12 | conducted\footnote{http://www.ga.gov.au/urban/projects/ramp/NBED.jsp}. |
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13 | It contains information |
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14 | about residential buildings, people, infrastructure, |
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15 | structure value and building contents. |
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16 | From this database, we find that there |
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17 | are 325 residential structures and a population of approximately 770 |
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18 | in Onslow \footnote{Population is determined by census data and an ABS |
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19 | housing survey}. |
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20 | |
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21 | Once the maximum inundation is calculated for each building, the resultant |
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22 | damage |
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23 | can be determined as a function of its type and location from the |
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24 | coastline, \cite{ken:damage}. |
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25 | |
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26 | results here |
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27 | |
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28 | Impact on indigeneous communities are important considerations when determining |
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29 | tsunami impact, especially as a number of communities exist in coastal regions. |
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30 | These communities are typically not included in national residential databases |
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31 | and would be therefore overlooked in damage model estimates. |
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32 | There is one indigeneous community located in this study area as seen |
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33 | in Figure |
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34 | \ref{fig:points}. The population of the Bindibindi community is 140 |
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35 | and is situated in a potentially vulnerable location. |
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36 | |
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37 | discussion on Mary's outputs |
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38 | |
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