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机构地区:[1]北京科技大学土木与环境工程学院,北京100083
出 处:《矿业研究与开发》2007年第1期66-69,共4页Mining Research and Development
基 金:国家"十五"科技攻关项目(2004BA615A-18)
摘 要:针对北洺河覆层岩石整体性差的特点,将概率积分法和组件技术开发的MSDAS-GIS系统应用于采用无底柱分段崩落法的金属矿山中。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强大的空间分析和图形显示功能对预测结果进行分析和处理,并直观地反映出开采沉陷对周围环境的影响程度及范围。通过与实际情况的对比分析,验证了预测方法的适用性。According to the characteristic of bad integrality of overlying rock mass in Beiminghe Iron Mine in which sublevel caving without sill pillar is applied, a research was done for predieting the mining- induced subsidence in the mine based on the system MSDAS -GIS (Mining Subsidence Damage Assessment Systems GIS), which is developed by probability - integral and component technique. A three - dimensional calculating model related to geographic, geologic information and their inherent attribute properties was established. The predicted results were analyzed and processed by the use of the powerful spatial analysis and graphical display function of GIS, so that the influencing degree and scope of the mining - induced subsidence on the surrounding environment were intuitively reflected, and the applicability of the established model was verified.
关 键 词:金属矿山 开采沉陷 无底柱分段崩落法 概率积分 法 地理信息系统(GIS)
分 类 号:TD327[矿业工程—矿井建设] P208[天文地球—地图制图学与地理信息工程]
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