Built environment Earthquake casualty estimation

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the distribution of building types different in industrialized , developing countries (figure 4) , in villages compared cities in same country. many earthquake engineers work on problem of better defining world data on building properties (world housing encyclopedia).


after 1 knows distribution of buildings classes (histograms on left in both frames of figure 4), 1 needs estimate how population distributed these building types (histograms on right in both frames of figure 4). these distributions not identical because higher quality houses tend shelter more people per building.


the haiti earthquake, m7.3 of 12 january 2010 showed in case quality of construction vastly underestimated engineering community. each new damaging earthquake serves source of new information on building properties in region. in immediate aftermath of haiti earthquake of 12 january 2010, joint study estimation of damage building stock based on aerial images carried out unitar-unosat, ec-jrc, , world bank/imagecat in support of pdna. hancilar et al. (2013) have developed empirical fragility functions based on remote sensing , field data pre-dominant building typologies (http://earthquakespectra.org/doi/abs/10.1193/121711eqs308m). international project global earthquake model (gem) has aim of producing world map of earthquake risk. part of gigantic effort, data sets improved, needed real time loss assessments. 1 of these data set on world housing properties.


deaths collapsing buildings










the probability building of given type may collapse if subjected intensity of shaking (figure 5) important parameter calculating expected human losses. weak buildings present in developing countries (figure 4 on left) ones collapse @ moderate intensities (figure 5 on left).


the numbers of fatalities , injured (casualties sum of these 2 parameters) estimated, using casualty matrix, table gives percentages of dead, injured, , unscathed among occupants of building collapses. distribution depends on building type.


a building need not collapse injure , kill; @ every damage degree there exists probability casualties result.


the data in casualty matrices poorly known cannot give uncertainties here. however, specialists working on learning more , related problems in estimating losses due earthquakes.








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