31 Jan 2022
31 Jan 2022
Status: a revised version of this preprint was accepted for the journal NHESS.

Using single remote sensing image to calculate the height of the landslide dam and the maximum volume of the lake

Weijie Zou1,2, Yi Zhou1, Shixin Wang1, Futao Wang1, Litao Wang1, Qing Zhao1, Wenliang Liu1, Jinfeng Zhu1, Yibing Xiong1,2, Zhenqing Wang1,2, and Gang Qin1,2 Weijie Zou et al.
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China

Abstract. Landslide dams are caused by landslide materials blocking rivers. After the occurrence of large-scale landslides, it is necessary to conduct large-scale investigation of barrier lakes and rapid risk assessment. Remote sensing is an important means to achieve this goal. However, at present remote sensing is only used for monitoring and extraction of hydrological parameters at present, without prediction on potential hazard of the landslide dam. The key parameters of the barrier dam, such as the dam height and the maximum volume, still need to be obtained based on field investigation, which is time-consuming. Our research proposes a procedure that is able to calculate the height of the landslide dam and the maximum volume of the barrier lake, using single remote sensing image and pre-landslide DEM. The procedure includes four modules: (a) determining the elevation of the lake level, (b) determining the elevation of the bottom of the dam, (c) calculating the highest height of the dam, (d) predicting the lowest crest height of the dam and the maximum volume. Finally, the sensitivity analysis of the parameters during the procedure and the analysis of the influence of different resolution images is carried out. This procedure is demonstrated through Baige Landslide Dam in south-west China. The single image from Beijing-1 and pre-landslide DEM, SRTM V3, are used to predict the height of the dam and the key parameters of the dam break, which are in good agreement with the measured data. This procedure can effectively support the quick decision-making regarding hazard mitigation.

Weijie Zou et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-35', Anonymous Referee #1, 28 Feb 2022
    • AC1: 'Reply on RC1', Weijie Zou, 07 Mar 2022
      • RC2: 'Reply on AC1', Anonymous Referee #1, 07 Mar 2022
        • AC3: 'Reply on RC2', Weijie Zou, 05 Apr 2022
        • AC4: 'Reply on RC2', Weijie Zou, 05 Apr 2022
  • AC2: 'Comment on nhess-2022-35', Weijie Zou, 30 Mar 2022
  • RC3: 'Comment on nhess-2022-35', Anonymous Referee #2, 04 Apr 2022
    • AC5: 'Reply on RC3', Weijie Zou, 06 Apr 2022
  • RC4: 'Comment on nhess-2022-35', Anonymous Referee #3, 22 Apr 2022
    • AC6: 'Reply on RC4', Weijie Zou, 24 Apr 2022

Weijie Zou et al.

Weijie Zou et al.


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Short summary
Landslide dam is a secondary disaster of landslides, which can cause great damage to the mountains. And we proposed a procedure to calculate the key parameters of the dams, which uses only a single remote sensing image and pre-landslide DEM combined with the theory of the landslide. The core of this study is a problem of modeling. We just found out the bridge between the theory of landslide dams and the requirements of disaster relief.