Articles | Volume 21, issue 11
Nat. Hazards Earth Syst. Sci., 21, 3599–3628, 2021
https://doi.org/10.5194/nhess-21-3599-2021

Special issue: Future risk and adaptation in coastal cities

Nat. Hazards Earth Syst. Sci., 21, 3599–3628, 2021
https://doi.org/10.5194/nhess-21-3599-2021

Research article 26 Nov 2021

Research article | 26 Nov 2021

Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru

Juan Camilo Gomez-Zapata et al.

Data sets

Tsunami flow depth in Lima/Callao (Peru) caused by six hypothetical simplified tsunami scenarios offshore Lima Sven Harig and Natalja Rakowsky https://doi.org/10.5880/riesgos.2021.010

Spatial representation of direct loss estimates on the residential building stock of Lima (Peru) from decoupled earthquake and tsunami scenarios on variable resolutions exposure models. Juan Camilo Gomez-Zapata, Nils Brinckmann, Massimiliano Pittore, and Fabrice Cotton https://doi.org/10.5880/riesgos.2021.009

Seismic ground motion fields for six deterministic earthquake scenarios (Mw 8.5-9.0) for Lima (Peru) Juan Camilo Gomez-Zapata, Fabrice Cotton, and Nils Brinckmann https://doi.org/10.5880/riesgos.2021.008

Residential building exposure and physical vulnerability models for ground-shaking and tsunami risk in Lima and Callao (Peru) Juan Camilo Gomez-Zapata, Raquel Zafrir, Nils Brinckmann, and Massimiliano Pittore https://doi.org/10.5880/riesgos.2021.007

Customised focus maps and resultant CVT-based aggregation entities for Lima and Callao (Peru) Juan Camilo Gomez Zapata, Raquel Zafrir, Sven Harig, and Massimiliano Pittore https://doi.org/10.5880/riesgos.2021.006

Model code and software

DEUS: Damage-Exposure-Update-Service. V. 1.0. GFZ Data Services Nils Brinckmann, Juan Camilo Gomez-Zapata, Massimiliano Pittore, and Matthias Rüster https://doi.org/10.5880/riesgos.2021.011

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Short summary
We present variable-resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models and physical vulnerability assessment. Their geo-cell sizes are inversely proportional to underlying distributions that account for the combination between hazard intensities and exposure proxies. We explore their efficiency and associated uncertainties in risk–loss estimations and mapping from decoupled scenario-based earthquakes and tsunamis in Lima, Peru.
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