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High precision slope deformation monitoring model based on the GPS/Pseudolites technology in open-pit mine

Mining Science and Technology 2010年第1期20卷 126-131,137页

作者： WANG Jianpeng, GAO Jingxiang, LIU Chao, WANG Jian School of Environment and Spatial Informatics, China University of Mining & Technology, Xuzhou 221008, China School of Environment and Spatial Informatics China University of Mining & Technology Xuzhou 221008 China

As the number and geometric intensity of visual satellites are susceptible to large slopes in open-pit mines, we propose integration of GPS/Pseudolites (PLs) positioning technology which can increase the number of visible satellites, strengthen the geometric intensity of satellites and provide a precision solution for slope deformation monitoring. However, the un-modeled systematic errors are still the main limiting factors for high precision baseline solution. In order to eliminate the un-modeled systematic error, the Empirical Mode Decomposition (EMD) theory is employed. The multi-scale decomposition and reconstruction architecture are defined here on the basis of the EMD theory and the systematic error mitigation model is demonstrated as well. A standard of the scale selection for the systematic error elimination is given in terms of the mean of the accumulated standardized modes. Thereafter, the scheme of the GPS/PLs baseline solution based on the EMD is suggested. The simulation and experiment results show that the precision factors (DOP) are reduced greatly when PLs is located suitably. The proposed scheme dramatically improves the reliability of ambiguity resolution and the precision of baseline vector after systematic error being eliminated, and provides an effective model for high precision slope deformation monitoring in open-pit mine.

关键词： open-pit mine slope deformation PLs EMD

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Landslide mapping and analysis along the China-Pakistan Karakoram Highway based on SBAS-InSAR detection in 2017

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Journal of Mountain Science 2021年第10期18卷 2540-2564页

作者： SU Xiao-jun ZHANG Yi MENG Xing-min YUE Dong-xia MA Jin-hui GUO Fu-yun ZHOU Zi-qiang REHMAN Mohib Ur KHALID Zainab CHEN Guan ZENG Run-qiang ZHAO Fu-meng College of Earth and Environmental Sciences Lanzhou UniversityLanzhou 730000China School of Earth Sciences Lanzhou UniversityLanzhou 730000China Gansu Tech Innovation Centre for Environmental Geology and Geohazard Prevention Lanzhou 730000China Geological Environment Monitoring Institute of Gansu Province Lanzhou 730050China Institute of Geological Hazards Prevention Gansu Academy of SciencesLanzhou 730000China

The Karakoram Highway(KKH),a part of the China–Pakistan Economic Corridor(CPEC),is a major highway connecting northern Pakistan to *** inventorying and analysis of landslides along KKH are challenging because of poor accessibility,vast study area,limited availability of ground-based datasets,and the complexity of landslide processes in the *** order to preserve life,property,and infrastructure,and to enable the uninterrupted and efficient operation of the KKH,it is essential to strengthen measures for the prevention and control of geological *** the present study,SBASInSAR(Small Baseline Subsets-Interferometric Synthetic Aperture Radar)was used to process 150 scenes of Sentinel 1-A images in the year 2017 along the Karakoram Highway.A total of 762 landslides,including 57 complex landslides,126 rock falls,167 debris slides,and 412 unstable slopes,ranging in size between 0.0017 and 10.63 km2 were ***,this study also gains an inventory of 40 active glacier movements in this *** categorization,displacements characteristics,spatial distribution,and their relationship with various contributing factors have been successfully investigated along the entire KKH using image interpretation and frequency-area *** criteria adopted for landslides categorization is presented in the *** results showed that the 2-D ground deformation derived in Hunza valley echoes well with the general regional landslides *** spatial distribution analysis revealed that there are clumped distributions of landslides in the Gaizi,Tashkurgan,and Khunjerab in China,as well as in Hunza valley,and north of Chilas city in *** results indicated that these landslides mainly occur on south-facing slopes with a slope angle of 20°–45°and elevation relief of 550–2,100 *** development is also related to low vegetation cover and weathering effects in mountain ***,our study provides scientific data

关键词： Landslides mapping slope deformation Identification Landslide development Area development ratio SBAS-InSAR Karakoram Highway

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Analysis on velocity distribution and displacement along the profile of a slope using both empirical and analytical methods

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Journal of Mountain Science 2017年第12期14卷 2589-2602页

作者： CHEN Tie-lin ZHOU Cheng LIU En-long DAI Feng LIU Jiao Key Laboratory of Urban Underground Engineering of Ministry of Education Beijing Jiaotong University State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and Hydropower Engineering Sichuan University Cold and arid regions environmental and engineering research institute Chinese academy of sciences

Assessing the slope deformation is significant for landslide prediction. Many researchers have studied the slope displacement based on field data from the inclinometer in combination with complicated numerical analysis. They found that there was a shear zone above the slip surface, and they usually focused on the distribution of velocity and displacement within the shear zone. In this paper,two simple methods are proposed to analyze the distribution of displacement and velocity along the whole profile of a slope from the slip surface to the slope surface during slow movement. In the empirical method, the slope soil above the shear zone is assumed as a rigid body. Dual or triple piecewise fitting functions are empirically proposed for the distribution of velocity along the profile of a slope. In the analytical method, the slope soil is not assumed as a rigid body but as a deformable material. Continuous functions of the velocity and displacement along the profile of a slope are directly obtained by solving the Newton's equation of motion associated with the Bingham model. Using the two proposed methods respectively, the displacement and velocity along the slope profiles of three slopes are determined. A reasonable agreement between the measured data and the calculated results of the two proposed methods has been reached. In comparison with the empirical method, the analytical method would be more beneficial for slope deformation analysis in slope engineering, because the parameters are material constants in the analytical solution independent of time t, and the nonlinear viscosity of the soil can be considered.

关键词： slope deformation Progressive deformation Fitting function Analytical solution Bingham model Nonlinear viscosity

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