北洺河铁矿开采沉陷预计及地表变形监测与分析

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

  • 摘要: 根据北洺河铁矿覆岩整体性差的特点,将基于地理信息系统(GIS)和概率积分法的MSDAS-GIS系统应用于采用无底柱分段崩落法的金属矿山的开采沉陷预计.通过GIS建模全面反映矿区的三维地理、地质信息及其内在属性,利用GIS的空间分析和图形显示功能对理论预计结果和现场监测结果进行综合分析,从而直观反映出开采沉陷对周围环境的影响程度及范围.

     

    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.

     

/

返回文章
返回