Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3599-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-21-3599-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Nov 2021
Research article |
| 26 Nov 2021
| 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
CORRESPONDING AUTHOR
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for
Geosciences, Potsdam, 14473, Germany
Institute for Geosciences, University of Potsdam, Potsdam, 14469,
Germany
Nils Brinckmann
eScience Centre, GFZ German Research Centre for Geosciences, 14473,
Potsdam, Germany
Sven Harig
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research (AWI), Bremerhaven, 27570, Germany
Raquel Zafrir
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for
Geosciences, Potsdam, 14473, Germany
Head Aerospace Group, Paris, 92250, France
Massimiliano Pittore
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for
Geosciences, Potsdam, 14473, Germany
Institute for Earth Observation, EURAC Research, 39100, Bolzano,
Italy
Fabrice Cotton
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for
Geosciences, Potsdam, 14473, Germany
Institute for Geosciences, University of Potsdam, Potsdam, 14469,
Germany
Andrey Babeyko
Geodynamic Modelling, GFZ German Research Centre for Geosciences,
Potsdam, 14473, Germany
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- Seismic Risk Assessment in Stavropol Krai N. Frolova et al. 10.1134/S0001433822110020
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- Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis A. Papadopoulos et al. 10.1007/s10518-024-01929-6
- Impact of exposure spatial resolution on seismic loss estimates in regional portfolios J. Dabbeek et al. 10.1007/s10518-021-01194-x
- Border-independent multi-functional, multi-hazard exposure modelling in Alpine regions M. Pittore et al. 10.1007/s11069-023-06134-3
23 citations as recorded by crossref.
- Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment E. Schoepfer et al. 10.5194/nhess-24-4631-2024
- Integrated seismic risk assessment in Nepal S. Bhochhibhoya & R. Maharjan 10.5194/nhess-22-3211-2022
- Benefits of global earth observation missions for disaggregation of exposure data and earthquake loss modeling: evidence from Santiago de Chile C. Geiß et al. 10.1007/s11069-022-05672-6
- Deep multitask learning with label interdependency distillation for multicriteria street-level image classification P. Aravena Pelizari et al. 10.1016/j.isprsjprs.2023.09.001
- Influence of rupture velocity on risk assessment of concrete moment frames: Supershear vs. subshear ruptures L. Payyappilly et al. 10.1016/j.istruc.2024.105895
- Updated indicators of seismic risk for the territory of the Irkutsk region and the Republic of Buryatia N. Frolova et al. 10.35540/2686-7907.2023.1.02
- Seismic risk assessment for commercial masonry infill buildings within the Auckland region of New Zealand R. Fikri et al. 10.1007/s10518-024-02033-5
- Calculating earthquake damage building by building: the case of the city of Cologne, Germany C. Nievas et al. 10.1007/s10518-021-01303-w
- Systematic Comparison of Tsunami Simulations on the Chilean Coast Based on Different Numerical Approaches S. Harig et al. 10.3390/geohazards3020018
- A new regionally consistent exposure database for Central Asia: population and residential buildings C. Scaini et al. 10.5194/nhess-24-929-2024
- Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaíso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions J. Gómez Zapata et al. 10.3390/ijgi11020113
- Simulation of large plausible tsunami scenarios associated with the 2019 Durres (Albania) earthquake source and adjacent seismogenic zones E. Xhafaj et al. 10.1007/s42990-024-00122-w
- Crowd-Sourced Buildings Data Collection and Remote Training: New Opportunities to Engage Students in Seismic Risk Reduction A. Peresan et al. 10.3389/esss.2023.10088
- Assessing the Social and Economic Indicators of Seismic Risk Using the Town of Angarsk as an Example N. Frolova et al. 10.1134/S0001433822080011
- Scenario-based multi-risk assessment from existing single-hazard vulnerability models. An application to consecutive earthquakes and tsunamis in Lima, Peru J. Gómez Zapata et al. 10.5194/nhess-23-2203-2023
- An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience C. Chen et al. 10.5194/nhess-23-733-2023
- Epistemic uncertainty of probabilistic building exposure compositions in scenario-based earthquake loss models J. Gómez Zapata et al. 10.1007/s10518-021-01312-9
- Bias in the Estimation of Seismic Risk for Municipal Building Stocks Due to Limited Data A. Babič et al. 10.3390/buildings13092245
- A regional-scale approach to assessing non-residential building, transportation and cropland exposure in Central Asia C. Scaini et al. 10.5194/nhess-24-355-2024
- Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru C. Geiß et al. 10.5194/nhess-24-1051-2024
- Seismic Risk Assessment in Stavropol Krai N. Frolova et al. 10.1134/S0001433822110020
- Seismic risk scenarios for the residential buildings in the Sabana Centro province in Colombia D. Feliciano et al. 10.5194/nhess-23-1863-2023
- Exposure manipulation strategies for balancing computational efficiency and precision in seismic risk analysis A. Papadopoulos et al. 10.1007/s10518-024-01929-6
2 citations as recorded by crossref.
Latest update: 30 Dec 2024
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.
We present variable-resolution boundaries based on central Voronoi tessellations (CVTs) to...
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