IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v67y2013i2p295-320.html
   My bibliography  Save this article

Simulation method of sliding snow load on roofs and its application in some representative regions of China

Author

Listed:
  • Xuanyi Zhou
  • Yunqing Zhang
  • Ming Gu
  • Jialiang Li

Abstract

Sliding snow load on roofs is an important issue. Thus, a simulation method to calculate the sliding snow load on roofs is developed in this paper. Firstly, based on previous mass- and energy-balance models, a snowmelt model for building roofs, which focuses on the features of snowpack on roofs, is developed. Then, the sufficient condition proposed in the paper for snow sliding on roofs requires that the liquid water in the snow layer on roofs exceeds the maximum water-holding capacity of snow. The present method is used to simulate the sliding snow loads on roofs in several representative regions in China. These regions are selected because of their representative locations in China and the heavy snowfalls during winter. Moreover, the influences of the features of the climate, the shielding effect of neighboring buildings, and the heat gained from the inside of buildings are analyzed. The contributions of various energies to snow slide are presented quantitatively. The results indicate that the radiation has the greatest contribution to the melting of snow, followed by the sensible heat and the latent heat, as well as the energies caused by precipitation and heat transfer from the inside of buildings. Finally, a comparison between the simulated results and results from some load codes is made, and a simplified formula that can calculate the sliding snow load coefficient is given for the convenient application of structural engineers. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Xuanyi Zhou & Yunqing Zhang & Ming Gu & Jialiang Li, 2013. "Simulation method of sliding snow load on roofs and its application in some representative regions of 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. 67(2), pages 295-320, June.
  • Handle: RePEc:spr:nathaz:v:67:y:2013:i:2:p:295-320
    DOI: 10.1007/s11069-013-0563-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-013-0563-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-013-0563-8?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. H. Zeinivand & F. De Smedt, 2010. "Prediction of snowmelt floods with a distributed hydrological model using a physical snow mass and energy balance approach," 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. 54(2), pages 451-468, August.
    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. H. M. Mo & L. Y. Dai & F. Fan & T. Che & H. P. Hong, 2016. "Extreme snow hazard and ground snow load for 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. 84(3), pages 2095-2120, December.
    2. Xuanyi Zhou & Jialiang Li & Ming Gu & Lulu Sun, 2015. "A new simulation method on sliding snow load on sloped roofs," 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. 77(1), pages 39-65, May.

    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. Omid Rahmati & Ali Haghizadeh & Stefanos Stefanidis, 2016. "Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1131-1150, February.
    2. Xuanyi Zhou & Jialiang Li & Ming Gu & Lulu Sun, 2015. "A new simulation method on sliding snow load on sloped roofs," 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. 77(1), pages 39-65, May.
    3. Mahtab Forootan Danesh & Mohammad Reza Dahmardeh Ghaleno & Ehsan Alvandi & Sarita Gajbhiye Meshram & Ercan Kahya, 2020. "RETRACTED ARTICLE: Predicting the Impacts of Optimal Residential Development Scenario on Soil Loss Caused by Surface Runoff and Raindrops Using TOPSIS and WetSpa Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3257-3277, August.
    4. Siquan Yang & Haixia He & Weitao Chen & Lizhe Wang, 2018. "Direct tangible damage assessment for regional snowmelt flood disasters with HJ-1 and HR satellite images: a case study of the Altay region, northern Xinjiang, 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. 94(3), pages 1099-1116, December.

    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:67:y:2013:i:2:p:295-320. 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.