Abstract
This paper focuses on ancient landslides located along the Jinsha River between the Ahai hydropower station (AHHs) and Liyuan hydropower station (LYHs). High-precision landslide monitoring and accurate understanding of inducing factors are important for landslide stability analysis. However, it is often difficult to monitor and analyze landslide movement due to rough terrain and the complex inducing factors in the mountain area. In this paper, the ancient landslides can be monitored by distributed scatterers-based interferometric synthetic aperture radar (DS-InSAR) technology and global positioning systems (GPS). DS-InSAR can obtain enough measurement points based on the persistent scatterers and distributed scatterers. Besides, we present the results of GPS measurement as a comparison and supplement to DS-InSAR. Our results illustrate that DS-InSAR measurement and GPS measurement show high-level consistency. To comprehensively analyze the triggering factors of landslide deformation, we derive the spatiotemporal movement characteristics of the XinJian (XJ) landslide and find that the XJ landslide movement is very nonuniform, which is closely related to soil weathering. The XJ landslide movement undergoes periodic acceleration. We deduce that the motion of the landslide may be affected by precipitation and water level fluctuation and indicate that the combination of precipitation and water level fluctuation is the most serious triggering factor. During the period from August to September, the rate of landslide movement reached a peak value, which was highly consistent with the precipitation and water level records. Additionally, the rescaled range method (R/S) is used to analyze the stability of the XJ landslide. The results show that hydrological conditions are an essential factor in the stability of the landslide. In other words, the more precipitation there is, the larger the water level changes and the more unstable the landslide.
Highlights
In recent years, the Jinsha River has been extensively developed for hydroelectric power generation, and the Chinese government has planted 27 hydropower stations along the Jinsha River [1]
distributed scatterers (DS)-InSAR measurement result shows that we focus on ten potential ancient landslides located along the Jinsha River between the Ahai hydropower station (AHHs) and Liyuan hydropower station (LYHs); four active landslides are identified with average movement rates ranging from -148 to 148 mm/yr
Red rectangles represent the ancient landslide areas were identified by geological investigation and filed survey, the blue rectangle represents the location of the LYHs and the AHHs, and the black pentagon represents the geographical position of global positioning systems (GPS) monitoring points
Summary
The Jinsha River has been extensively developed for hydroelectric power generation, and the Chinese government has planted 27 hydropower stations along the Jinsha River [1]. Traditional methods for monitoring landslides include crack monitoring, GPS, and total station [7] These methods reflect the landslide movement by recording the relative and absolute deformation of monitoring points. The accuracy of those monitoring methods is relatively high, their spatial resolution is limited by the number and distribution of the monitoring points [8]. This makes them more suitable for local high-precision landslide monitoring than for reflecting the overall deformation characteristics of large-scale landslide movement. The development of remote sensing technologies gives us offer chances to detect and Journal of Sensors
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