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Uncertainty and sensitivity analyses in seismic risk assessments on the example of Cologne, Germany

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Figure

Figure 1. Logic tree scheme and number of input parameters for thedifferent modules: Hazard: intensity prediction equations (IPEs) –3, Mmin – 2, Mmax – 3, Gutenberg–Richter b – 3, Vulnerability:2 models, Loss: 2 models
Figure 3.Figure 3. Calculated mean and quantile hazard curves, considering the whole range of the input parameters of the hazard part of the logic tree (Fig
Figure 4. Vulnerability composition model of the residential building stock of Cologne as a percentage of the different vulnerability classes of EMS-98 (based on the INFAS database, Figure 4.ing stock of Cologne as a percentage of the different vulnerability Vulnerability composition model of the residential build-classes of EMS-98 (based on the INFAS database, 2010).
Figure 5.Figure 5. Building type stratification of the study area of Cologne: a) superimposed on input Landsat image and b) a magnification superimposed on Google Earth imagery
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