Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China

最小化 最大化

Vol19 No.6: 1748-1766 

Title】Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China

Author】ZHAO Xin1,2,3*; LI Guo2,3; ZHAO Zhi-fang4,5, 6*; LI Chun-xiao2,3; CHEN Qi4,5,6; YE Xian2,3

Addresses】1 Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650050, China; 2 Broadvision Engineering Consultants Co., Ltd., Kunming 650031, China; 3 Yunnan Key Laboratory of Digital Communications, Kunming 650000, China; 4 School of Earth Sciences, Yunnan University, Kunming 650050, China; 5 Research Center of Domestic High-resolution Satellite Remote Sensing Geological Engineering, Kunming 650500, China; 6 MNR Key Laboratory of Sanjiang Metallogeny and Resources Exploration & Utilization, Kunming 650051, China

Corresponding author】ZHAO Zhi-fang

Citation】Zhao X, Li G, Zhao ZF, et al. (2022) Identifying the spatiotemporal characteristics of individual red bed landslides: a case study in Western Yunnan, China. Journal of Mountain Science 19(6). https://doi.org/10.1007/s11629-022-7339-0

DOI】https://doi.org/10.1007/s11629-022-7339-0

Abstract】Strata in red bed areas have typical characteristics of soft-hard interbedding and high sensitivity to water. Under the comprehensive action of internal stratigraphic structure and external hydrological factors, red bed landslides have highly complex spatiotemporal characteristics, presenting significant challenges to the prevention and control of landslide disasters in red bed areas, especially for slope and tunnel engineering projects. In this study, we applied an interdisciplinary approach combining small baseline subset interferometric synthetic aperture radar (SBAS-InSAR), deep displacement monitoring, and engineering geological surveying to identify the deformation mechanisms and spatiotemporal characteristics of the Abi landslide, an individual landslide that occurred in the red bed area of Western Yunnan, China. Surface deformation time series indicated that a basic deformation range developed by March 2020. Based on InSAR results and engineering geological analysis, the landslide surface could be divided into three zones: an upper sliding zone (US), a lower uplifted zone (LU), and a toe zone (Toe). LU was affected by the structure of the sliding bed with variable inclination. Using deep displacement curves combined with the geological profile, a set of sliding surfaces were identified between different lithology. The groundwater level standardization index (GLSI) and deformation normalization index (DNI) showed different quadratic relationships between US and LU. Verification using the Pearson correlation analysis shows that the correlation coefficients between model calculated results and measured data are 0.7933 and 0.7577, respectively, indicating that the DNI-GLSI models are applicable. A fast and short-lived deformation sub stage (ID-Fast) in the initial deformation stage was observed, and ID-Fast wasdriven by concentrated rainfall.

Keywords】Red bed landslide; Spatiotemporal characteristic; SBAS-InSAR; Deep displacement monitoring; Engineering geological survey; Western Yunnan