Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (10): 2226-2238.doi: 10.11947/j.AGCS.2022.20220307

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Stability evaluation of Dangchuan loess landslide in Heifangtai based on integration of engineering geological data and GNSS high-precision monitoring information

LING Qing1,2, ZHANG Qin2, ZHANG Jing2, QU Wei2, KONG Lingjie1, ZHU Li3, ZHANG Jinhui3   

  1. 1. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
    2. College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China;
    3. Information engineering University, Zhengzhou 450001, China
  • Received:2022-05-05 Revised:2022-06-30 Published:2022-11-05
  • Supported by:
    The National Natural Science Foundation of China(Nos. 42127802;41731066;42174006;42090055);Shaanxi Province Natural Science Funds for Distinguished Young Scholar(No. 2022JC-18);Leading Talents Program of Central Universities(No. 300102261302);The Natural Science Foundation of Gansu (Nos. 20JR10RA180;20JR10RA179;20JR5RA444)

Abstract: Slope stability analysis is an efficient method for landslide risk reduction. However, it is still a challenging task owing to the unilaterally assessment approach applied to practical issues. To overcome this problem, a new stability evaluation of loess landslide based on integration of engineering geological data (high-precision DEM, groundwater level, drilling information in engineering geology and irrigation information) constrained by external high-precision GNSS monitoring information is proposed. Firstly, a fine 3D geological model of landslide which can reflect the real nature characteristics is constructed by using Arcgis-Rhinoceros-Griddle based on high-resolution image, high-precision multi-source monitoring information, engineering geological borehole information, groundwater level information and field investigation. Then, a comprehensive evaluation model for landslide stability by coupling the landslide displacement evolution process with the dynamic disaster mechanism, which can ascertain the cause of landslide failure and the catastrophe mechanism, is constructed with constraints of the high-precision GNSS monitoring data from the outside of the landslide. Data obtained from monitoring before instability of three landslides in Dangchuan, Heifang, Gansu province are selected for model verification. The results show that HF06/07 GNSS monitoring site first becomes unstable, followed by HF09 GNSS monitoring site, and HF05 GNSS monitoring site is the last one that slides. It indicates that compared with the numerical simulation method of engineering geology, the results obtained by the developed technique in this chapter are better consistent with the actual monitoring situation. And the sliding sequence of landslide is also in high agreement with the actual sequence. All the obtained achievements in this paper demonstrate the organic coupling of the external high-precision monitoring information and the internal physical and mechanical evaluation model provides a new idea and perspective for the stability evaluation of loess landslide, and helps to well understand the deformation evolution mechanism of loess landslide.

Key words: loess landslide, GNSS monitoring, engineering geological data, high precision, landslide 3D geological model, landslide stability analysis

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