IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v77y2015i3p1939-1961.html
   My bibliography  Save this article

A methodology to derive precise landslide displacement time series from continuous GPS observations in tectonically active and cold regions: a case study in Alaska

Author

Listed:
  • Guoquan Wang
  • Yan Bao
  • Yanet Cuddus
  • Xueyi Jia
  • John Serna
  • Qi Jing

Abstract

Over the past 15 years, Global Positioning System (GPS) technology has been frequently used as a tool to detect potential earth mass movements and to track creeping landslides. In this study, we investigated 4 years of continuous GPS data (September 2006–July 2010) recorded at a landslide site in Alaska. This GPS station (AC55) was installed on an un-identified creeping site by the Plate Boundary Observatory (PBO) project, which was funded by the US National Science Foundation. The landslide moves with a steady horizontal velocity of 5.5 cm/year toward NEE 15° and experiences a steady subsidence of 2.6 cm/year. There is a considerable correlation between annual snow loading and melting cycles and seasonal variations in the landslide displacements. The seasonal movements vary year to year with an average peak-to-trough amplitude of 1.5 and 1.0 cm in vertical and horizontal directions, respectively. This study addresses three challenging issues in applying GPS for landslide monitoring in tectonically active and cold regions. The three challenges include (1) detecting GPS-derived positions that could be contaminated by the snow and ice accumulated on GPS antennas during cold seasons, (2) establishing a stable local reference frame and assessing its accuracy, and (3) excluding local seasonal ground motions from GPS-derived landslide displacement time series. The methods introduced in this study will be useful for GPS landslide monitoring in other tectonically active and/or cold regions. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Guoquan Wang & Yan Bao & Yanet Cuddus & Xueyi Jia & John Serna & Qi Jing, 2015. "A methodology to derive precise landslide displacement time series from continuous GPS observations in tectonically active and cold regions: a case study in Alaska," 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(3), pages 1939-1961, July.
    • Handle: RePEc:spr:nathaz:v:77:y:2015:i:3:p:1939-1961
    DOI: 10.1007/s11069-015-1684-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-015-1684-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-015-1684-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. K. Hastaoglu & D. Sanli, 2011. "Monitoring Koyulhisar landslide using rapid static GPS: a strategy to remove biases from vertical velocities," 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. 58(3), pages 1275-1294, September.
    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. Linqiang Yang & Guoquan Wang & Victor Huérfano & Christa G. Hillebrandt-Andrade & Jose A. Martínez-Cruzado & Hanlin Liu, 2016. "GPS geodetic infrastructure for natural hazards study in the Puerto Rico and Virgin Islands region," 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. 83(1), pages 641-665, August.

    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. Ruya Xiao & Xiufeng He, 2013. "Real-time landslide monitoring of Pubugou hydropower resettlement zone using continuous GPS," 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(3), pages 1647-1660, 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:77:y:2015:i:3:p:1939-1961. 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.