IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v66y2013i2p319-341.html
   My bibliography  Save this article

Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami

Author

Listed:
  • Anawat Suppasri
  • Erick Mas
  • Ingrid Charvet
  • Rashmin Gunasekera
  • Kentaro Imai
  • Yo Fukutani
  • Yoshi Abe
  • Fumihiko Imamura

Abstract

A large amount of buildings was damaged or destroyed by the 2011 Great East Japan tsunami. Numerous field surveys were conducted in order to collect the tsunami inundation extents and building damage data in the affected areas. Therefore, this event provides us with one of the most complete data set among tsunami events in history. In this study, fragility functions are derived using data provided by the Ministry of Land, Infrastructure and Transportation of Japan, with more than 250,000 structures surveyed. The set of data has details on damage level, structural material, number of stories per building and location (town). This information is crucial to the understanding of the causes of building damage, as differences in structural characteristics and building location can be taken into account in the damage probability analysis. Using least squares regression, different sets of fragility curves are derived to demonstrate the influence of structural material, number of stories and coastal topography on building damage levels. The results show a better resistant performance of reinforced concrete and steel buildings over wood or masonry buildings. Also, buildings taller than two stories were confirmed to be much stronger than the buildings of one or two stories. The damage characteristic due to the coastal topography based on limited number of data in town locations is also shortly discussed here. At the same tsunami inundation depth, buildings along the Sanriku ria coast were much greater damaged than buildings from the plain coast in Sendai. The difference in damage states can be explained by the faster flow velocities in the ria coast at the same inundation depth. These findings are key to support better future building damage assessments, land use management and disaster planning. Copyright The Author(s) 2013

Suggested Citation

  • Anawat Suppasri & Erick Mas & Ingrid Charvet & Rashmin Gunasekera & Kentaro Imai & Yo Fukutani & Yoshi Abe & Fumihiko Imamura, 2013. "Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 319-341, March.
  • Handle: RePEc:spr:nathaz:v:66:y:2013:i:2:p:319-341
    DOI: 10.1007/s11069-012-0487-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0487-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-012-0487-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dale Dominey-Howes & Paula Dunbar & Jesse Varner & Maria Papathoma-Köhle, 2010. "Estimating probable maximum loss from a Cascadia tsunami," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 53(1), pages 43-61, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dane Wiebe & Daniel Cox, 2014. "Application of fragility curves to estimate building damage and economic loss at a community scale: a case study of Seaside, Oregon," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2043-2061, April.
    2. Stuart Fraser & William Power & Xiaoming Wang & Laura Wallace & Christof Mueller & David Johnston, 2014. "Tsunami inundation in Napier, New Zealand, due to local earthquake sources," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 415-445, January.
    3. K. Nanayakkara & W. Dias, 2016. "Fragility curves for structures under tsunami loading," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 471-486, January.
    4. Natt Leelawat & Anawat Suppasri & Ingrid Charvet & Fumihiko Imamura, 2014. "Building damage from the 2011 Great East Japan tsunami: quantitative assessment of influential factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 449-471, September.
    5. Nikita Jain & Deepali Virmani & Ajith Abraham, 2021. "Tsunami in the last 15 years: a bibliometric analysis with a detailed overview and future directions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 139-172, March.
    6. Quan Mao & Nan Li, 2018. "Assessment of the impact of interdependencies on the resilience of networked critical infrastructure systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 315-337, August.
    7. Jan Oetjen & Vallam Sundar & Sriram Venkatachalam & Klaus Reicherter & Max Engel & Holger Schüttrumpf & Sannasi Annamalaisamy Sannasiraj, 2022. "A comprehensive review on structural tsunami countermeasures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1419-1449, September.
    8. Yoshiki Ogawa & Yoshihide Sekimoto & Ryosuke Shibasaki, 2021. "Estimation of earthquake damage to urban environments using sparse modeling," Environment and Planning B, , vol. 48(5), pages 1075-1090, June.
    9. W. P. S. Dias & Udayanga Edirisooriya, 2019. "Derivation of tsunami damage curves from fragility functions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(3), pages 1153-1166, April.
    10. Joshua Macabuag & Tiziana Rossetto & Ioanna Ioannou & Anawat Suppasri & Daisuke Sugawara & Bruno Adriano & Fumihiko Imamura & Ian Eames & Shunichi Koshimura, 2016. "A proposed methodology for deriving tsunami fragility functions for buildings using optimum intensity measures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1257-1285, November.
    11. Shono Fujita & Michinori Hatayama, 2023. "Estimation Method for Roof‐damaged Buildings from Aero-Photo Images During Earthquakes Using Deep Learning," Information Systems Frontiers, Springer, vol. 25(1), pages 351-363, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shima Madani & Saeedeh Khaleghi & Mahmood Reza Akbarpour Jannat, 2017. "Assessing building vulnerability to tsunami using the PTVA-3 model: A case study of Chabahar Bay, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 349-359, January.
    2. Duygu Tufekci & Mehmet Lutfi Suzen & Ahmet Cevdet Yalciner & Andrey Zaytsev, 2018. "Revised MeTHuVA method for assessment of tsunami human vulnerability of Bakirkoy district, Istanbul," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 943-974, January.
    3. Dane Wiebe & Daniel Cox, 2014. "Application of fragility curves to estimate building damage and economic loss at a community scale: a case study of Seaside, Oregon," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2043-2061, April.
    4. Teresa Vera San Martín & Gary Rodriguez Rosado & Patricia Arreaga Vargas & Leonardo Gutierrez, 2018. "Population and building vulnerability assessment by possible worst-case tsunami scenarios in Salinas, Ecuador," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 275-297, August.
    5. Aaron Opdyke & Desmond Chiang & Anthony Tsang & Jacob Smyth, 2022. "Benchmarking household storm surge risk perceptions to scientific models in the Philippines," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1285-1305, November.
    6. Chih-peng Wang & Ban-jwu Shih & Min-cheng Tu, 2022. "Study on the improvement of disaster resistance against tsunamis at Taiwan’s Keelung Port," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 1507-1526, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:66:y:2013:i:2:p:319-341. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.