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  1. 防災科研関係論文

Quick Estimation Model for Mapping Earthquake Impacts in Bogot?, Colombia

https://nied-repo.bosai.go.jp/records/6512
https://nied-repo.bosai.go.jp/records/6512
6e0fba29-c9e6-4e11-a8be-68e5ea3799f0
Item type researchmap(1)
公開日 2024-10-07
タイトル
言語 ja
タイトル Quick Estimation Model for Mapping Earthquake Impacts in Bogot?, Colombia
タイトル
言語 en
タイトル Quick Estimation Model for Mapping Earthquake Impacts in Bogot?, Colombia
言語
言語 eng
著者 Hiroyuki Miura

× Hiroyuki Miura

ja Hiroyuki Miura

en Hiroyuki Miura

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Masashi Matsuoka

× Masashi Matsuoka

ja Masashi Matsuoka

en Masashi Matsuoka

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Juan C. Reyes

× Juan C. Reyes

ja Juan C. Reyes

en Juan C. Reyes

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Nelson Pulido

× Nelson Pulido

ja Nelson Pulido

en Nelson Pulido

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Mitsufumi Hashimoto

× Mitsufumi Hashimoto

ja Mitsufumi Hashimoto

en Mitsufumi Hashimoto

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Andrea C. Ria?o

× Andrea C. Ria?o

ja Andrea C. Ria?o

en Andrea C. Ria?o

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Alvaro Hurtado

× Alvaro Hurtado

ja Alvaro Hurtado

en Alvaro Hurtado

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Raul Rincon, Helber

× Raul Rincon, Helber

ja Raul Rincon, Helber

en Raul Rincon

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Garc?a

× Garc?a

ja Garc?a

en Helber Garc?a

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Carlos Lozano

× Carlos Lozano

ja Carlos Lozano

en Carlos Lozano

Search repository
抄録
内容記述タイプ Other
内容記述 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 Bogot?, 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 Bogot? region.
言語 ja
抄録
内容記述タイプ Other
内容記述 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 Bogot?, 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 Bogot? region.
言語 en
書誌情報 ja : ISPRS International Journal of Geo-Information
en : ISPRS International Journal of Geo-Information

巻 12, 号 12, 発行日 2023-11-21
出版者
言語 ja
出版者 MDPI
出版者
言語 en
出版者 MDPI
DOI
関連識別子 10.3390/ijgi12120471
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