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.

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Cited articles

Adriano, B., Mas, E., Koshimura, S., Estrada, M., and Jimenez, C.: Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions, J. Disaster Res., 9, 968–975, https://doi.org/10.20965/jdr.2014.p0968, 2014. 
Aguilar, Z., Lazares, F., Alarcon, S., Quispe, S., Uriarte, R., and Calderon, D.: Actualización de la Microzonificación Sísmica de la ciudad de Lima, International Symposium for CISMID 25th Anniversary 17–18 August, 2012, Lima, Peru, 2013. 
Aguilar, Z., Tarazona, J., Vergaray, L., Barrantes, J., Uriarte, R., and Calderon, D.: Site response analysis and its comparison with the peruvian seismic design spectrum, TECNIA, 29, 91–97, https://doi.org/10.21754/tecnia.v29i2.700, 2019. 
Aguirre-Ayerbe, I., Martínez Sánchez, J., Aniel-Quiroga, Í., González-Riancho, P., Merino, M., Al-Yahyai, S., González, M., and Medina, R.: From tsunami risk assessment to disaster risk reduction – the case of Oman, Nat. Hazards Earth Syst. Sci., 18, 2241–2260, https://doi.org/10.5194/nhess-18-2241-2018, 2018. 
Alam, M. S., Barbosa, A. R., Scott, M. H., Cox, D. T., and van de Lindt, J. W.: Development of Physics-Based Tsunami Fragility Functions Considering Structural Member Failures, J. Struct. Eng., 144, 04017221, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001953, 2018. 
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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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