Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia

Early disaster responses in damaged areas after a large earthquake are indispensable for stakeholders to assess and grasp the impacts such as building and infrastructure damage and disrupted community functionality as soon as possible. This study introduces a quick estimation model for mapping seism...

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Main Authors: Hiroyuki Miura, Masashi Matsuoka, Juan C. Reyes, Nelson Pulido, Mitsufumi Hashimoto, Andrea C. Riaño, Alvaro Hurtado, Raul Rincon, Helber García, Carlos Lozano
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/12/12/471
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author Hiroyuki Miura
Masashi Matsuoka
Juan C. Reyes
Nelson Pulido
Mitsufumi Hashimoto
Andrea C. Riaño
Alvaro Hurtado
Raul Rincon
Helber García
Carlos Lozano
author_facet Hiroyuki Miura
Masashi Matsuoka
Juan C. Reyes
Nelson Pulido
Mitsufumi Hashimoto
Andrea C. Riaño
Alvaro Hurtado
Raul Rincon
Helber García
Carlos Lozano
author_sort Hiroyuki Miura
collection DOAJ
description Early disaster responses in damaged areas after a large earthquake are indispensable for stakeholders to assess and grasp the impacts such as building and infrastructure damage and disrupted community functionality as soon as possible. This study introduces a quick estimation model for mapping seismic intensities and building losses in Bogotá, the capital city of Colombia. The model uses ground motion records in the seismic network, soil maps of average shear-wave velocity in the upper 30 m (Vs30) with site amplifications, building inventory, and vulnerability functions for all building types. The spatial distribution of ground motion intensities, including spectral accelerations, was estimated by interpolating the observed seismic intensities with the Vs30-based site amplifications. The losses (repair cost) for all the buildings were evaluated by integrating the estimated spectral accelerations, the building inventory, and the vulnerability functions. The spatial distributions of seismic intensities and building losses can be computed within a few minutes immediately after triggering earthquake motions in the seismic network. The proposed model demonstrates evaluations of the impacts for the Mw6.0 earthquake that occurred on December 2019 and an earthquake scenario with Mw7.0 from an active fault near the Bogotá region.
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spelling doaj.art-68c1f36fc2184edb8ecbdef2a79354292023-12-22T14:13:11ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-11-01121247110.3390/ijgi12120471Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, ColombiaHiroyuki Miura0Masashi Matsuoka1Juan C. Reyes2Nelson Pulido3Mitsufumi Hashimoto4Andrea C. Riaño5Alvaro Hurtado6Raul Rincon7Helber García8Carlos Lozano9Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, JapanDepartment of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8501, JapanDepartment of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, ColombiaNational Research Institute for Earth Science and Disaster Resilience, Ibaraki 305-0006, JapanKozo Keikaku Engineering Inc., Tokyo 164-0001, JapanDepartment of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, ColombiaDepartment of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, ColombiaDepartment of Civil and Environmental Engineering, Rice University, Houston, TX 77005, USAServicio Geológico Colombiano (SGC), Bogotá DC 111321, ColombiaInstituto Distrital de Gestión de Riesgos y Cambio Climático (IDIGER), Diagonal 47 Number 77A-09 Int. 11, Bogotá DC 111071, ColombiaEarly disaster responses in damaged areas after a large earthquake are indispensable for stakeholders to assess and grasp the impacts such as building and infrastructure damage and disrupted community functionality as soon as possible. This study introduces a quick estimation model for mapping seismic intensities and building losses in Bogotá, the capital city of Colombia. The model uses ground motion records in the seismic network, soil maps of average shear-wave velocity in the upper 30 m (Vs30) with site amplifications, building inventory, and vulnerability functions for all building types. The spatial distribution of ground motion intensities, including spectral accelerations, was estimated by interpolating the observed seismic intensities with the Vs30-based site amplifications. The losses (repair cost) for all the buildings were evaluated by integrating the estimated spectral accelerations, the building inventory, and the vulnerability functions. The spatial distributions of seismic intensities and building losses can be computed within a few minutes immediately after triggering earthquake motions in the seismic network. The proposed model demonstrates evaluations of the impacts for the Mw6.0 earthquake that occurred on December 2019 and an earthquake scenario with Mw7.0 from an active fault near the Bogotá region.https://www.mdpi.com/2220-9964/12/12/471seismic intensitybuilding lossvulnerabilityBogotá
spellingShingle Hiroyuki Miura
Masashi Matsuoka
Juan C. Reyes
Nelson Pulido
Mitsufumi Hashimoto
Andrea C. Riaño
Alvaro Hurtado
Raul Rincon
Helber García
Carlos Lozano
Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
ISPRS International Journal of Geo-Information
seismic intensity
building loss
vulnerability
Bogotá
title Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
title_full Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
title_fullStr Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
title_full_unstemmed Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
title_short Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia
title_sort quick estimation model for mapping earthquake impacts in bogota colombia
topic seismic intensity
building loss
vulnerability
Bogotá
url https://www.mdpi.com/2220-9964/12/12/471
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