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Monitoring and evaluation of gully erosion in China's largest loess tableland based on SBAS-InSAR

Author

Listed:
  • Haibo Tian

    (Chongqing University of Posts and Telecommunications)

  • Yuxiang Tao

    (Chongqing University of Posts and Telecommunications
    Chongqing University of Posts and Telecommunications)

  • Pinglang Kou

    (Chongqing University of Posts and Telecommunications
    Chongqing University of Posts and Telecommunications)

  • Andres Alonso

    (Catholic University of the North
    University of Liverpool)

  • Xiaobo Luo

    (Chongqing University of Posts and Telecommunications)

  • Chenyu Gong

    (Chongqing University of Posts and Telecommunications)

  • Yunpeng Fan

    (Chongqing University of Posts and Telecommunications)

  • Changjian Lei

    (Chongqing University of Posts and Telecommunications)

  • Yongcheng Gou

    (Chongqing University of Posts and Telecommunications)

Abstract

Gully erosion is widespread in central China's ecologically fragile loess plateau. However, research on the monitoring and evaluation of large-scale erosion is scarce. Here, we collected 16 pairs of Sentinel-1A images from the rainy season, spanning April 5-October 26, 2019, subsidence is then quantified and its results can indirectly reflect the intensity of erosion on the largest loess plateau in China, the Dongzhiyuan tableland, using small baseline subset synthetic aperture radar interferometry (SBAS-InSAR). The results showed that, the average erosion rate was 9 mm/year, throughout the study area, Surprisingly, the average erosion rate in the gully reached 160 mm/year, the sides of the gully correspond to the most extensive and intense erosion. Heavy rainfall, slope gradients below 15°, changes in groundwater levels due to freeze–thaw action and water infiltration during rainfall, and lack of vegetation due to continued gully side erosion, drive the intense erosion. These results demonstrate the reliable ability of the SBAS-InSAR method in accurately assessing large-scale gully erosion. The InSAR-calculated subsidence demonstrates a strong predictive capability for soil erosion and is generally consistent with previously observed levels of erosion, although much noise interference also occurs. Therefore, in the future InSAR-calculated sedimentation could be used as an indirect measure of erosion levels at multiple watershed scales.

Suggested Citation

  • Haibo Tian & Yuxiang Tao & Pinglang Kou & Andres Alonso & Xiaobo Luo & Chenyu Gong & Yunpeng Fan & Changjian Lei & Yongcheng Gou, 2023. "Monitoring and evaluation of gully erosion in China's largest loess tableland based on SBAS-InSAR," 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. 117(3), pages 2435-2454, July.
    • Handle: RePEc:spr:nathaz:v:117:y:2023:i:3:d:10.1007_s11069-023-05950-x
    DOI: 10.1007/s11069-023-05950-x
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    References listed on IDEAS

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    1. Weibing Du & Weiqian Ji & Linjuan Xu & Shuangting Wang, 2020. "Deformation Time Series and Driving-Force Analysis of Glaciers in the Eastern Tienshan Mountains Using the SBAS InSAR Method," IJERPH, MDPI, vol. 17(8), pages 1-18, April.
    2. Changbin Li & Jiaguo Qi & Shuaibing Wang & Linshan Yang & Wenjin Yang & Songbing Zou & Gaofeng Zhu & Wenyan Li, 2014. "A Holistic System Approach to Understanding Underground Water Dynamics in the Loess Tableland: A Case Study of the Dongzhi Loess Tableland in Northwest China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2937-2951, August.
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