Loughborough University
Browse
Zhang et al 2018 Investigating slow moving landslides Zhouqu using InSAR Landslides Manuscript Final.pdf (2.73 MB)

Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series

Download (2.73 MB)
journal contribution
posted on 2018-03-05, 10:09 authored by Yi (Lanzhou University) Zhang, Xingmin Meng, Colm J. Jordan, Alessandro Novellino, Tom DijkstraTom Dijkstra, Guan Chen
In the Zhouqu region (Gansu, China) landslide distribution and activity exploits geological weaknesses in the fault-controlled belt of low-grade metamorphic rocks of the Bailong valley and severely impacts lives and livelihoods in this region. Landslides reactivated by the Wenchuan 2008 earthquake and debris flows triggered by rainfall, such as the 2010 Zhouqu debris flow, have caused more than 1700 casualties and estimated economic losses of some US$ 0.4 billion. Earthflows presently cover some 79% of the total landslide area and have exerted a strong influence on landscape dynamics and evolution in this region. In this study, we use multi-temporal ALOS PALSAR data and time series InSAR to investigate slow-moving landslides in a mountainous region with steep topography for the period December 2007 - August 2010 using the Small Baseline Subsets (SBAS) technique. This enabled the identification of 11 active earthflows, 19 active landslides with deformation rates exceeding 100 mm/yr and 20 new instabilities added into the pre-existing landslide inventory map. The activity of these earthflows and landslides exhibits seasonal variations and accelerated deformation following the Wenchuan earthquake. Time series analysis of the Souertou earthflow reveals that seasonal velocity changes are characterized by comparatively rapid acceleration and gradual deceleration with distinct kinematic zones with different mean velocities, although velocity changes appear to occur synchronously along the landslide body over seasonal timescales. The observations suggest that the post-seismic effects (acceleration period) on landslide deformation last some 6-7 months.

Funding

The ALOS PLSAR images were provided by the Japan Aerospace Exploration Agency (JAXA). The authors would like to acknowledge V. Banks from BGS for her valuable suggestions to improve the quality of the paper. Colm Jordan, Tom Dijkstra, and Alessandro Novellino publish with permission from the Executive Director of the British Geological Survey, funded by the BGS-NERC ODA Programme.

History

School

  • Architecture, Building and Civil Engineering

Published in

Landslides

Citation

ZHANG, Y. ...et al., 2018. Investigating slow-moving landslides in the Zhouqu region of China using InSAR time series. Landslides, 15 (7), pp.1299–1315.

Publisher

© Springer Verlag

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc/4.0/

Acceptance date

2018-01-24

Publication date

2018-02-05

Notes

This is a post-peer-review, pre-copyedit version of an article published in Landslides. The final authenticated version is available online at: http://doi.org/10.1007/s10346-018-0954-8

ISSN

1612-510X

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC