IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i13d10.1007_s11069-024-06663-5.html
   My bibliography  Save this article

A study on the monitoring of landslide deformation disasters in Wenxian County, Longnan City based on different time-series InSAR techniques

Author

Listed:
  • Jinlong Zhang

    (Chinese Academy of Sciences)

  • Rui Yang

    (Chinese Academy of Sciences)

  • Yuan Qi

    (Chinese Academy of Sciences)

  • Hui Zhang

    (Chinese Academy of Sciences)

  • Juan Zhang

    (Chinese Academy of Sciences)

  • Qianhong Guo

    (Bureau of Natural Resources of Zhuoni)

  • Chao Ma

    (Chinese Academy of Sciences)

  • Hongwei Wang

    (Chinese Academy of Sciences)

Abstract

Interferometry Synthetic Aperture Radar (InSAR) technology is widely employed in the identification of geological hazards. However, in regions characterized by high mountains, canyons, and dense vegetation, decorrelation often hampers effective identification. In this study, focusing on the landslide-prone area of Wenxian County in Longnan City with abundant vegetation, we propose a Multi-Temporal InSAR (MTI) monitoring method that integrates Persistent Scatterers (PS) points with Slowly-Decorrelating Filtered Phase (SDFP) points in order to effectively reduce decorrelation effects. Additionally, we conduct high-precision monitoring of landslide surface deformation in Wenxian County using the the Generic Atmospheric Correction Online Service for InSAR (GACOS). Based on cross-validation of results obtained from three different techniques and the comparison with GNSS monitoring results, we validate the accuracy of these identification results. Furthermore, we use time-series deformation analysis methods to analyze the dynamic evolution of the characteristics of landslides in Chengguan Town and Koutouba Township, Wenxian County, Longnan City, and investigate their relationship with different environmental factors, such as rainfall and temperature. Our findings demonstrate that the spatial distribution consistency of the surface deformation information identified by the three techniques is high. However, StaMPS-MTI technology has the highest spatial sampling rate in deformation results, which is 21.02% higher than that of StaMPS-PS and over 4.6 times higher than that of StaMPS-SBAS. Additionally, the errors and Root Mean Square Error (RMSE) of StaMPS-MTI results in comparison to GNSS monitoring results are also the smallest, with values of 5.35 mm and 9.38 mm. We also observe varying degrees of deformation in Level 1 landslide areas identified by the STAMPS-MTI method in Chengguan Town and Koutouba Township with distinct seasonal characteristics. The cumulative deformation in the period from March to June shows a noticeable acceleration, with landslide incidents caused by the freeze-thaw phenomenon due to rising temperatures in March and April while rainfall caused landslide incidents from April to June. This research provides essential data and scientific support for geological hazard monitoring, prevention, and early warning.

Suggested Citation

  • Jinlong Zhang & Rui Yang & Yuan Qi & Hui Zhang & Juan Zhang & Qianhong Guo & Chao Ma & Hongwei Wang, 2024. "A study on the monitoring of landslide deformation disasters in Wenxian County, Longnan City based on different time-series InSAR techniques," 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. 120(13), pages 11851-11875, October.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:13:d:10.1007_s11069-024-06663-5
    DOI: 10.1007/s11069-024-06663-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06663-5
    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/s11069-024-06663-5?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. B. Zhao & W. Xu, 2014. "Background and reflections on Dingxi earthquake of July 22, 2013," 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. 70(2), pages 1661-1667, January.
    Full references (including those not matched with items on IDEAS)

    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. Xiaoli Li & Zhiqiang Li & Jiansi Yang & Yaohui Liu & Bo Fu & Wenhua Qi & Xiwei Fan, 2018. "Spatiotemporal characteristics of earthquake disaster losses in China from 1993 to 2016," 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(2), pages 843-865, November.
    2. Hao Lei & Xiuling Wang & Hang Hou & Linjian Su & Deqiang Yu & Hao Wang, 2018. "The earthquake in Jiuzhaigou County of Northern Sichuan, China on August 8, 2017," 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. 90(2), pages 1021-1030, January.

    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:120:y:2024:i:13:d:10.1007_s11069-024-06663-5. 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.