IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v74y2014i2p1141-1161.html
   My bibliography  Save this article

A prediction model for debris flows triggered by a runoff-induced mechanism

Author

Listed:
  • Bin Yu
  • Yuan Zhu
  • Tao Wang
  • Yuanjing Chen
  • Yunbo Zhu
  • Yongbo Tie
  • Ke Lu

Abstract

Many debris flows were triggered within and also outside the Dayi area of the Guizhou Province, China, during a rainstorm in 2011. High-intensity short-duration rainfall was the main triggering factor for these gully-type debris flows which are probably triggered by a runoff-induced mechanism. A revised prediction model was introduced for this kind of gully-type debris flows with factors related to topography, geology, and hydrology (rainfall) and applied to the Wangmo River catchment. Regarding the geological factor, the “soft lithology” and “loose sediments” in the channel were added to the list of the average firmness coefficient for the lithology. Also, the chemical weathering was taken into account for the revised geological factor. Concerning the hydrological factor, a coefficient of variation of rainfall was introduced for the normalization of the rainfall factor. The prediction model for debris flows proposed in this paper delivered three classes of the probability of debris flow occurrence. The model was successfully validated in debris flow gullies with the same initiation mechanism in other areas of southwest China. The generic character of the model is explained by the fact that its factors are partly based on the initiation mechanisms and not only on the statistical analyses of a unique variety of local factors. The research provides a new way to predict the occurrence of debris flows initiated by a runoff-induced mechanism. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Bin Yu & Yuan Zhu & Tao Wang & Yuanjing Chen & Yunbo Zhu & Yongbo Tie & Ke Lu, 2014. "A prediction model for debris flows triggered by a runoff-induced mechanism," 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. 74(2), pages 1141-1161, November.
    • Handle: RePEc:spr:nathaz:v:74:y:2014:i:2:p:1141-1161
    DOI: 10.1007/s11069-014-1234-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1234-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-014-1234-0?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. Tung-Chiung Chang, 2007. "Risk degree of debris flow applying neural networks," 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. 42(1), pages 209-224, July.
    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. Chen Cao & Peihua Xu & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China," IJERPH, MDPI, vol. 14(1), pages 1-19, 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. Yan-Ning Wang & Han Chen & Bin-Song Jiang & Jing-Rui Peng & Jun Chen, 2022. "Cause Analysis and Preventive Measures of Guizhou D2809 Train Derailment Accident in Guizhou, China on 4 June 2022," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    2. Wen Zhang & Jian-ping Chen & Qing Wang & Yuke An & Xin Qian & Liangjun Xiang & Longxiang He, 2013. "Susceptibility analysis of large-scale debris flows based on combination weighting and extension 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. 66(2), pages 1073-1100, March.
    3. Chen Cao & Peihua Xu & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China," IJERPH, MDPI, vol. 14(1), pages 1-19, December.
    4. Yong-Jun Lin & Yuan-Hsiou Chang & Yih-Chi Tan & Hong-Yuan Lee & Yu-Jia Chiu, 2011. "National policy of watershed management and flood mitigation after the 921 Chi-Chi earthquake in Taiwan," 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. 56(3), pages 709-731, March.
    5. Bin Yu & Li Li & Yufu Wu & Shengming Chu, 2013. "A formation model for debris flows in the Chenyulan River Watershed, Taiwan," 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. 68(2), pages 745-762, September.
    6. Shahram Kaboodvandpour & Jamil Amanollahi & Samira Qhavami & Bakhtiyar Mohammadi, 2015. "Assessing the accuracy of multiple regressions, ANFIS, and ANN models in predicting dust storm occurrences in Sanandaj, 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. 78(2), pages 879-893, September.
    7. Cencen Niu & Qing Wang & Jianping Chen & Wen Zhang & Liming Xu & Ke Wang, 2015. "Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.

    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:74:y:2014:i:2:p:1141-1161. 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.