Quick Estimation Model for Mapping Earthquake Impacts in Bogotá, Colombia

DOI Web Site 参考文献24件 オープンアクセス
  • Hiroyuki Miura
    Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan
  • Masashi Matsuoka
    Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8501, Japan
  • Juan C. Reyes
    Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, Colombia
  • Nelson Pulido
    National Research Institute for Earth Science and Disaster Resilience, Ibaraki 305-0006, Japan
  • Mitsufumi Hashimoto
    Kozo Keikaku Engineering Inc., Tokyo 164-0001, Japan
  • Andrea C. Riaño
    Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, Colombia
  • Alvaro Hurtado
    Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá DC 11711, Colombia
  • Raul Rincon
    Department of Civil and Environmental Engineering, Rice University, Houston, TX 77005, USA
  • Helber García
    Servicio Geológico Colombiano (SGC), Bogotá DC 111321, Colombia
  • Carlos Lozano
    Instituto Distrital de Gestión de Riesgos y Cambio Climático (IDIGER), Diagonal 47 Number 77A-09 Int. 11, Bogotá DC 111071, Colombia

書誌事項

公開日
2023-11-21
資源種別
journal article
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/ijgi12120471
公開者
MDPI AG

説明

<jats:p>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.</jats:p>

収録刊行物

参考文献 (24)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ