IDEAS home Printed from https://ideas.repec.org/a/wly/perpro/v28y2017i2p391-404.html
   My bibliography  Save this article

The Application and Evaluation of Simple Permafrost Distribution Models on the Qinghai–Tibet Plateau

Author

Listed:
  • Shu‐Ping Zhao
  • Zhuo‐Tong Nan
  • Ying‐Bing Huang
  • Lin Zhao

Abstract

The performance of simple permafrost distribution models widely used on the Qinghai–Tibet Plateau (QTP) has not been fully evaluated. In this study, two empirical models (the elevation model and mean annual ground temperature model) and three semi‐physical models (the surface frost number model, the temperature at the top of permafrost model and the Kudryavtsev model) were investigated. The simulation results from the models were compared to each other and validated against existing permafrost maps of the entire QTP and in three representative areas investigated in the field. The models generally overestimated permafrost distribution in the investigated areas, but they captured the broad characteristics of permafrost distribution on the entire QTP, and performed best in areas with colder, continuous permafrost. Large variations in performance occurred at elevations of 3800–4500 m asl and in areas with thermally unstable permafrost. The two empirical models performed best in areas where permafrost is strongly controlled by elevation, such as eastern QTP. In contrast, the three semi‐physical models were better in southern island permafrost areas with relatively flat terrain, where local factors considerably impact the distribution of permafrost. Model performance could be enhanced by explicitly considering the effects of elevation zones and regional conditions. Copyright © 2017 John Wiley & Sons, Ltd.

Suggested Citation

  • Shu‐Ping Zhao & Zhuo‐Tong Nan & Ying‐Bing Huang & Lin Zhao, 2017. "The Application and Evaluation of Simple Permafrost Distribution Models on the Qinghai–Tibet Plateau," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 28(2), pages 391-404, April.
  • Handle: RePEc:wly:perpro:v:28:y:2017:i:2:p:391-404
    DOI: 10.1002/ppp.1939
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ppp.1939
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ppp.1939?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:wly:perpro:v:28:y:2017:i:2:p:391-404. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1099-1530 .

    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.