Data Products for Tsunami Risk Assessment
Damage scales, fragility curves, consequence models, vulnerability curves, loss curves
This page provides access to tsunami vulnerability and risk data products. These data products include various PTRA components such as damage scales, fragility curves, consequence functions, and vulnerability curves. This database, to a high degree, contains published tsunami fragility and vulnerability models in the literature. These products come in xml files in the Natural hazard’s Risk Markup Language following the GED4ALL schema. The taxonomy used for labelling elements exposed to risk is GED4ALL, which is extended version of the Global Exposure Database for the Global Earthquake Model (Silva et al. 2018, Murnane et al. 2019 ).
Damage scale provides information about the set of NDS mutually exclusive and collectively exhaustive discrete damage states DSj. These damage states are marked by ordered and monotonically increasing damage levels Dj. Normally, D0 denotes the no-damage threshold, while DNDS defines total collapse or being totally washed away. This service provides the different damage scales used here.
Each set of fragility and consequence curves provided here are reported for a specific damage scale according to this table.
Here, you can access fragility curves for physical elements at risk providing the probability of exceeding the thresholds (ds) of Damage States (DS), which are used as Damage Measure (DM), conditioned on the IM, i.e., P(DS>ds | IM). It should be noted that the fragility curves provided here can be either obtained analytically (i.e., through structural analysis) or empirically (based on observed damage incurred by a past tsunami event).
It should be noted that the fragility curves are reported for the damage states defined by the original authors. Please see the previous section on the damage scales for more information.
Here you can access consequence models. Consequence models provide the conditional probability distribution (e.g., mean, and standard deviation) of a decision variable DV (e.g., fatalities, economic loss) for prescribed damage states, i.e., E(DV|DS) and σ(DV|DS). In case the decision variable is the economic loss, the consequence models are also referred to as cost models Again, the damage states are those reported by the original authors of the models. Please see the previous section on the damage scales for more information.
Here you can access the vulnerability curves. Vulnerability models provide the conditional probability distribution (e.g., mean, and standard deviation) of a decision variable DV (e.g., fatalities, economic loss) as a function of the intensity measure IM, i.e., E(DV|IM) and σ(DV|IM).
Here you can access the loss curves. Loss curves provide the mean annual rate of exceeding specific thresholds dv for the decision variable DV.
Use this table to access the metadata of our data products and information on their contributors.