Artificial landslides monitoring based on wireless ranging using a nonlinear least squares estimation


A wireless ranging system including six base stations and two observation stations was employed to monitor the surface displacement of an artificial landslide occurring in Nanjing Tangshan Town, southeast China, which was simulated by mechanical mining on a hill of artificial accumulation. The range data collected by both base stations and observation stations was devoted to construct observation. Moreover, the nonlinear least squares estimation method was used to obtain the displacement on account of nonlinearity in observation equation. Meanwhile, the DOP values derived from design matrix of observation equation was used to evaluate the spatial configuration of the base stations. The results from the wireless ranging system show that the occurrence of the artificial landslide was detected, and the trajectory of the landslide was showed through continuous observation. These findings demonstrate that the experimental design, wireless ranging system, as well as the displacement estimation algorithm can provide effective means to monitor and evaluate the status of landslides and unstable slope effectively in engineering applications.

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  1. Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (2004). At risk: natural hazards, people’s vulnerability and disasters. Routledge, Abingdon 8(2)

    Google Scholar 

  2. Choudhury, M., Politi, N., Rizos, C., Choudhury, M., &Politi, N. (2010). Slow structural deformation monitoring using locata -a case study at the tumut pond dam

  3. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216

    Article  Google Scholar 

  4. Huntley, D., Bobrowsky, P., Zhang, Q., Sladen, W., Bunce, C., & Edwards, T., et al. (2014). Fiber optic strain monitoring and evaluation of a slow-moving landslide near Ashcroft, British Columbia, Canada. World landslide forum (pp.415-421)

  5. Mahmood, I., Qureshi, S. N., Tariq, S., Atique, L., & Iqbal, M. F. (2015). Analysis of landslides triggered by October 2005, Kashmir Earthquake. PLOS Currents,

  6. P. Steggles, S. Gschwind, The Ubisense smart space platform, Adjunct Proceedings of the Third International Conference on Pervasive Computing 191 (2005) 73–76

  7. Yang IT, Park JK, Kim DM (2007) Monitoring the symptoms of landslide using the non-prism total station. KSCE J Civ Eng 11(6):293–301

    Article  Google Scholar 

  8. Zhu HH, Shi B, Yan JF et al (2014) Fiber Bragg grating-based performance monitoring of a slope model subjected to seepage. Smart Materials & Structures 23(9):639–650

    Google Scholar 

Download references


This work was carried out with support of National Natural Science Foundation of China (Grant No.41604024), China Postdoctoral Science Foundation (Grant No.2016 M601815), and State Key Laboratory of Geo-information Engineering (SKLGIE2016-Z-1-3).

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Correspondence to Qinghua Zhang.

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Responsible Editor: Biswajeet Pradhan

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Zhang, Q., Chen, Z. Artificial landslides monitoring based on wireless ranging using a nonlinear least squares estimation. Arab J Geosci 13, 485 (2020).

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  • Wireless ranging
  • Displacement
  • Artificial landslide
  • Nonlinear least square
  • Trajectory