Articles | Volume 18, issue 4
Nat. Hazards Earth Syst. Sci., 18, 1187–1199, 2018

Special issue: Landslide early warning systems: monitoring systems, rainfall...

Nat. Hazards Earth Syst. Sci., 18, 1187–1199, 2018

Research article 19 Apr 2018

Research article | 19 Apr 2018

State fusion entropy for continuous and site-specific analysis of landslide stability changing regularities

Yong Liu, Zhimeng Qin, Baodan Hu, and Shuai Feng Yong Liu et al.
  • School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, 430074, China

Abstract. Stability analysis is of great significance to landslide hazard prevention, especially the dynamic stability. However, many existing stability analysis methods are difficult to analyse the continuous landslide stability and its changing regularities in a uniform criterion due to the unique landslide geological conditions. Based on the relationship between displacement monitoring data, deformation states and landslide stability, a state fusion entropy method is herein proposed to derive landslide instability through a comprehensive multi-attribute entropy analysis of deformation states, which are defined by a proposed joint clustering method combining K-means and a cloud model. Taking Xintan landslide as the detailed case study, cumulative state fusion entropy presents an obvious increasing trend after the landslide entered accelerative deformation stage and historical maxima match highly with landslide macroscopic deformation behaviours in key time nodes. Reasonable results are also obtained in its application to several other landslides in the Three Gorges Reservoir in China. Combined with field survey, state fusion entropy may serve for assessing landslide stability and judging landslide evolutionary stages.

Short summary
Stability analysis is very important for landslide early warning, especially the continuous stability, but there are some limitations in obtaining continuous stability by using traditional stability analysis methods. In view of this, we have further explored the displacement monitoring data in order to find new indicators and methods that can show landslide stability changing regularities.
Final-revised paper