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An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme

Author

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  • Nitheshnirmal Sadhasivam

    (Virginia Tech
    University of Twente)

  • Ling Chang

    (University of Twente)

  • Hakan Tanyaş

    (University of Twente)

Abstract

Strong earthquakes are not only able to change the earth's surface processes by triggering a large population of co-seismic landslides but also by influencing hillslope deformation rates in post-seismic periods. An increase in post-seismic hillslope deformation rates could also be linked to a change in post-seismic landslide hazard level and, thus, could be exploited to better assess post-seismic landslide risk in a given area. However, variations in hillslope deformations from pre- to post-seismic phases have rarely been examined for strong earthquakes. This paper examines pre- and post-seismic hillslope deformations, from 2014 to 2018, for an area (~ 2300 km2) affected by the 2016 Mw7.8 Kaikōura earthquake using time series Interferometric Synthetic Aperture Radar (InSAR) technique. To consistently analyse the entirety of the area from pre- to post-seismic phases, we aggregate InSAR-derived deformations for geomorphologically meaningful landscape partitions called Slope Units (SUs). We further examine the aggregated data through a 2-D hillslope deformation scheme, which we utilise as a method to systematically identify the variations in post-seismic hillslope deformation trends. In this context, we label newly activated, uninterruptedly deforming, and stabilized hillslopes in the post-seismic phase. We found 243 (4.76%) SUs out of 5104 SUs located in the study area to be active in the post-seismic phase. In addition to SUs, which may contain multiple landslides, we also analysed co-seismic landslides, in particular, showing active deformation in the post-seismic period. Results showed that 368 (4.69%) co-seismic landslides out of 7831 are actively deforming in the post-seismic phase. Overall, the areas affected by larger ground shaking show higher post-seismic deformations, which highlights the importance of the earthquake legacy effect as a factor controlling post-seismic hillslope deformations.

Suggested Citation

  • Nitheshnirmal Sadhasivam & Ling Chang & Hakan Tanyaş, 2024. "An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme," 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(4), pages 3919-3941, March.
  • Handle: RePEc:spr:nathaz:v:120:y:2024:i:4:d:10.1007_s11069-023-06353-8
    DOI: 10.1007/s11069-023-06353-8
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    References listed on IDEAS

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    1. Chuang Song & Chen Yu & Zhenhong Li & Stefano Utili & Paolo Frattini & Giovanni Crosta & Jianbing Peng, 2022. "Triggering and recovery of earthquake accelerated landslides in Central Italy revealed by satellite radar observations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Kristin Marano & David Wald & Trevor Allen, 2010. "Global earthquake casualties due to secondary effects: a quantitative analysis for improving rapid loss analyses," 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. 52(2), pages 319-328, February.
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