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These impact thresholds can in turn inform damage ratios, which express the economic cost required to restore infrastructure (i.e. absolute damage) by indicating the damaged proportion of the infrastructure (i.e. relative loss) (Reese and Ramsay 2010, Tarbotton et al. 2015).
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Evidence is emerging that the immune systems of A-bomb survivors were damaged in proportion to irradiation that they were exposed to in 1945 [ 23].
Damage proportion For different hazard intensities, buildings of different structure types always have different damage proportions for each damage state.
Finally, the damage proportion matrix is obtained using GIS tools.
Field survey damage proportion matrices can be used to calibrate damage proportion matrices derived from remote sensing assessment results based on Bayesian principles (Booth et al. 2011).
A calibrated damage proportion matrix was then obtained, as shown in Table 6.
By taking the expected value of various posterior beta-distributions as the damage proportion of buildings with various structure types in different disaster-affected areas, a new and calibrated damage proportion matrix is obtained.
Finally, the damage proportion matrix of these hazard-affected elements within selected monitoring areas can be calculated.
The important issues for post-disaster remote sensing monitoring are choice of typical disaster area, spatial resolution, damage state determination, and damage proportion calculation.
Remote sensing monitoring of selected disaster-affected areas involves four steps: remote sensing monitoring, construction of interpretation keys, damage state assignment, and damage proportion calculation.
The damage proportion matrix of buildings with various structure types within the VII-degree seismic intensity line was then obtained, as shown in Table 5.
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