IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v80y2016i3d10.1007_s11069-015-2032-z.html
   My bibliography  Save this article

The physical vulnerability of different types of building structure to debris flow events

Author

Listed:
  • Hyo-sub Kang

    (Pukyong National University)

  • Yun-tae Kim

    (Pukyong National University)

Abstract

Vulnerability assessment of elements at risk is a key component for risk assessment. The representative element at risk for debris flow is a residential building in downstream mountain, and the physical vulnerability of such a building depends on the structural characteristics of a building. The main objective of this paper was to construct physical vulnerability curves for different types of building structures in Korea to enable a quantitative assessment of debris flow risks. The physical characteristics of debris flows were analyzed based on 11 debris flow events that occurred in July and August, 2011. A total of 25 buildings that were damaged during these events were investigated in detail to determine the characteristics and patterns of damage. This study analyzes the relationship between the degree of building damage and the intensity of the debris flows through field survey data, spatial data, and empirical formula. Three different empirical vulnerability curves were obtained as functions of the debris flow depth, the flow velocity, and the impact pressure. Furthermore, the vulnerability function was characterized according to the structural type of the buildings. In the case of non-RC buildings, complete destruction occurred with an impact pressure greater than 30 kPa. For RC buildings, slight damage occurred with impact pressures less than 35 kPa. The impact pressure of debris flows corresponding to slight damage to RC buildings could result in complete destruction of non-RC buildings. The physical vulnerability curves suggested here have potential applications in quantitative assessment of the structural resistance of buildings to debris flow events.

Suggested Citation

  • Hyo-sub Kang & Yun-tae Kim, 2016. "The physical vulnerability of different types of building structure to debris flow events," 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(3), pages 1475-1493, February.
  • Handle: RePEc:spr:nathaz:v:80:y:2016:i:3:d:10.1007_s11069-015-2032-z
    DOI: 10.1007/s11069-015-2032-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-015-2032-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-015-2032-z?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. Dieter Rickenmann, 1999. "Empirical Relationships for Debris Flows," 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. 19(1), pages 47-77, January.
    2. C. van Westen & N. Rengers & R. Soeters, 2003. "Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment," 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. 30(3), pages 399-419, November.
    3. M. Papathoma-Köhle & M. Keiler & R. Totschnig & T. Glade, 2012. "Improvement of vulnerability curves using data from extreme events: debris flow event in South Tyrol," 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. 64(3), pages 2083-2105, December.
    4. M. Jakob & D. Stein & M. Ulmi, 2012. "Vulnerability of buildings to debris flow impact," 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. 60(2), pages 241-261, January.
    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. Margherita Righini & Ignacio Gatti & Andrea Taramelli & Marcello Arosio & Emiliana Valentini & Serena Sapio & Emma Schiavon, 2024. "Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy," Land, MDPI, vol. 13(2), pages 1-26, January.
    2. Aditi Singh & D. P. Kanungo & Shilpa Pal, 2019. "Physical vulnerability assessment of buildings exposed to landslides in India," 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(2), pages 753-790, March.
    3. Hualin Cheng & Zhiyi Chen & Yu Huang, 2022. "Quantitative physical model of vulnerability of buildings to urban flow slides in construction solid waste landfills: a case study of the 2015 Shenzhen flow slide," 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. 112(2), pages 1567-1587, June.
    4. Mudassir Ali Khan & Zahiraniza Mustaffa & Indra Sati Hamonangan Harahap & Muhammad Bello Ibrahim & Mohamed Ezzat Al-Atroush, 2022. "Assessment of Physical Vulnerability and Uncertainties for Debris Flow Hazard: A Review concerning Climate Change," Land, MDPI, vol. 11(12), pages 1-22, December.

    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. Hyo-sub Kang & Yun-tae Kim, 2016. "The physical vulnerability of different types of building structure to debris flow events," 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(3), pages 1475-1493, February.
    2. Morteza T. Marvi, 2020. "A review of flood damage analysis for a building structure and contents," 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. 102(3), pages 967-995, July.
    3. Konstantinos Karagiorgos & Micha Heiser & Thomas Thaler & Johannes Hübl & Sven Fuchs, 2016. "Micro-sized enterprises: vulnerability to flash floods," 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 1091-1107, November.
    4. Christoph Rheinberger & Hans E. Romang & Michael Bründl, 2013. "Proportional loss functions for debris flow events," Post-Print hal-02643847, HAL.
    5. Xiao‐Bing Hu & Hang Li & XiaoMei Guo & Pieter H. A. J. M. van Gelder & Peijun Shi, 2019. "Spatial Vulnerability of Network Systems under Spatially Local Hazards," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 162-179, January.
    6. Cristina Tarantino & Palma Blonda & Guido Pasquariello, 2007. "Remote sensed data for automatic detection of land-use changes due to human activity in support to landslide studies," 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. 41(1), pages 245-267, April.
    7. Nisar Ali Shah & Muhammad Shafique & Muhammad Ishfaq & Kamil Faisal & Mark Van der Meijde, 2023. "Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    8. Michalis Diakakis & Spyridon Mavroulis & Emmanuel Vassilakis & Vassiliki Chalvatzi, 2023. "Exploring the Application of a Debris Flow Likelihood Regression Model in Mediterranean Post-Fire Environments, Using Field Observations-Based Validation," Land, MDPI, vol. 12(3), pages 1-18, February.
    9. Francesco Gentile & Tiziana Bisantino & Giuliana Trisorio Liuzzi, 2008. "Debris-flow risk analysis in south Gargano watersheds (Southern-Italy)," 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. 44(1), pages 1-17, January.
    10. Žiga Malek & Veronica Zumpano & Haydar Hussin, 2018. "Forest management and future changes to ecosystem services in the Romanian Carpathians," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1275-1291, June.
    11. Netra Bhandary & Ranjan Dahal & Manita Timilsina & Ryuichi Yatabe, 2013. "Rainfall event-based landslide susceptibility zonation mapping," 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. 69(1), pages 365-388, October.
    12. Ashraf Abdelkarim & Ahmed F. D. Gaber & Ibtesam I. Alkadi & Haya M. Alogayell, 2019. "Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia," Sustainability, MDPI, vol. 11(21), pages 1-32, October.
    13. R. Vázquez & J. L. Macías & J. Alcalá-Reygosa & J. L. Arce & A. Jiménez-Haro & S. Fernández & T. Carlón & R. Saucedo & J. M. Sánchez-Núñez, 2022. "Numerical modeling and hazard implications of landslides at the Ardillas Volcanic Dome (Tacaná Volcanic Complex, Mexico-Guatemala)," 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(2), pages 1305-1333, September.
    14. Paúl Carrión-Mero & Néstor Montalván-Burbano & Fernando Morante-Carballo & Adolfo Quesada-Román & Boris Apolo-Masache, 2021. "Worldwide Research Trends in Landslide Science," IJERPH, MDPI, vol. 18(18), pages 1-24, September.
    15. C. Abdallah & G. Faour, 2017. "Landslide hazard mapping of Ibrahim River Basin, Lebanon," 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 237-266, January.
    16. Zhifei Deng & Jifu Liu & Lanlan Guo & Jiaoyang Li & Junming Li & Yiru Jia, 2021. "Pure risk premium rating of debris flows based on a dynamic run-out model: a case study in Anzhou, China," 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 235-253, March.
    17. Nikolaos Tavoularis & George Papathanassiou & Athanassios Ganas & Panagiotis Argyrakis, 2021. "Development of the Landslide Susceptibility Map of Attica Region, Greece, Based on the Method of Rock Engineering System," Land, MDPI, vol. 10(2), pages 1-31, February.
    18. Saeid SHABANI, 2017. "Modelling and mapping of soil damage caused by harvesting in Caspian forests (Iran) using CART and RF data mining techniques," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 63(9), pages 425-432.
    19. Khattri, Khim B. & Pudasaini, Shiva P., 2019. "Channel flow simulation of a mixture with a full-dimensional generalized quasi two-phase model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 165(C), pages 280-305.
    20. Raquel Melo & José Luís Zêzere, 2017. "Modeling debris flow initiation and run-out in recently burned areas using data-driven methods," 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. 88(3), pages 1373-1407, September.

    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:80:y:2016:i:3:d:10.1007_s11069-015-2032-z. 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.