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北洺河鐵礦開采沉陷預計及地表變形監測與分析

Subsidence prediction and surface deformation monitoring and analysis in Beiminghe Iron Mine,China

  • 摘要: 根據北洺河鐵礦覆巖整體性差的特點,將基于地理信息系統(GIS)和概率積分法的MSDAS-GIS系統應用于采用無底柱分段崩落法的金屬礦山的開采沉陷預計.通過GIS建模全面反映礦區的三維地理、地質信息及其內在屬性,利用GIS的空間分析和圖形顯示功能對理論預計結果和現場監測結果進行綜合分析,從而直觀反映出開采沉陷對周圍環境的影響程度及范圍.

     

    Abstract: According to poor integrality of overlaying rock in Beiminghe Iron Mine, China, a research was done for predicting the subsidence of metal mines based on geographic information system (GIS) and probability-integral method. A three-dimensional (3D) calculating model related to geographic, geologic and inherent information was built. By using the effective spatial analytical function and the drawing tool of GIS, the analysis results intuitively show the degree and scope of mining subsidence.

     

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