Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru
<p>We propose the use of variable resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models for risk assessment to various natural hazards. Such a framework is especially beneficial when the spatial distribution of the considered hazard...
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/e388f63a595c47ee8df31db6c0e2721a |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | <p>We propose the use of variable resolution boundaries
based on central Voronoi tessellations (CVTs) to spatially aggregate building
exposure models for risk assessment to various natural hazards. Such a
framework is especially beneficial when the spatial distribution of the
considered hazards presents intensity measures with contrasting footprints
and spatial correlations, such as in coastal environments. This work avoids
the incorrect assumption that a single intensity value from hazards with low
spatial correlation (e.g. tsunami) can be considered to be representative
within large-sized geo-cells for physical vulnerability assessment, without,
at the same time, increasing the complexity of the overall model. We present
decoupled earthquake and tsunami scenario-based risk estimates for the
residential building stock of Lima (Peru). We observe that earthquake loss
models for far-field subduction sources are practically insensitive to the
exposure resolution. Conversely, tsunami loss models and associated
uncertainties depend on the spatial correlations of the hazard intensities
as well as on the resolution of the exposure models. We note that for the
portfolio located in the coastal area exposed to both perils in Lima, the
ground shaking dominates the losses for lower-magnitude earthquakes, whilst
tsunamis cause the most damage for larger-magnitude events. For the latter,
two sets of existing empirical flow depth fragility models are used,
resulting in large differences in the calculated losses. This study,
therefore, raises awareness about the uncertainties associated with the
selection of fragility models and spatial aggregation entities for exposure
modelling and loss mapping.</p> |
|---|