LI Pei, FAN Wen, YU Guoqiang, LIANG Xin, SU Yanjun. 2018: DISTRIBUTION AND IDENTIFICATION OF GEOHAZARDS IN QINLING MINING AREA: A CASE STUDY OF SHANYANG-SHANGNAN VANADIUM MINING AREA. JOURNAL OF ENGINEERING GEOLOGY, 26(5): 1162-1169. DOI: 10.13544/j.cnki.jeg.2018032
    Citation: LI Pei, FAN Wen, YU Guoqiang, LIANG Xin, SU Yanjun. 2018: DISTRIBUTION AND IDENTIFICATION OF GEOHAZARDS IN QINLING MINING AREA: A CASE STUDY OF SHANYANG-SHANGNAN VANADIUM MINING AREA. JOURNAL OF ENGINEERING GEOLOGY, 26(5): 1162-1169. DOI: 10.13544/j.cnki.jeg.2018032

    DISTRIBUTION AND IDENTIFICATION OF GEOHAZARDS IN QINLING MINING AREA: A CASE STUDY OF SHANYANG-SHANGNAN VANADIUM MINING AREA

    • On the basis of remote sensing interpretation, drones pictures and geological field survey, we analyzes the correlation between the distribution of slope geological hazards and the slope factors including shape, topographic slope, dip angle, structure characteristics and the lithology in Shanyang-Shangnan Vanadium mining area. The results are as follows. (1)The distribution of geohazards in the mining area has a marked bedding-dipping slope effect. The geological disasters of such slopes are 75.86% of the total. (2)72.42% of the slope hazards are concentrated in the slopes with angles of 30° to 50°. (3)The slope hazards have a corresponding relationship with the stratum inclination. Most geological disasters are concentrated in the range of bedding dip angles from 40°to 60°. (4)The slope hazards tend to occur in the combination of structural planes with the intersection angles within the range of 70°to 90°. The nearly orthogonal combination of structural planes has significant amplification effect of collapses. (5)The study also shows that the slope hazards usually occur in the siliceous rocks or interbedding of dolomite and clay rocks, while collapse occurs in dolomite. At the same time, we propose a remote sensing identification method for slope disasters, combining with the comparative analysis of remote sensing images in the study area. Then, we find a set of early identification method for slope hazards in mining areas. This research can provide technical support for mining enterprises and residents to identify and prevent slope disasters.
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