| 矿山地质灾害遥感监测方法及成因分析——以北京房山区史家营煤矿为例 |
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| 引用本文： | 王钦军,陈玉,蔺启忠,李慧.矿山地质灾害遥感监测方法及成因分析——以北京房山区史家营煤矿为例[J].中国地质灾害与防治学报,2011,22(1):75-79. |
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| 作者姓名： | 王钦军 陈玉 蔺启忠 李慧 |
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| 作者单位： | 中国科学院对地观测与数字地球科学中心,北京,100094 |
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| 基金项目： | 多元遥感数据矿区环境与灾害信息精准监测技术（2009AA12Z147）; 地质灾害规模分析与发展预测（2009AA12Z102）; 大型斑岩铜成矿带矿产信息遥感图像增强与处理技术专题研究（Kzcx2-yw-107） |
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| 摘 要： | 为加强矿区地质灾害的监测力度,遏制非法采矿,以北京市房山区史家营乡为例,建立了矿山地质灾害遥感影像识别标志及其监测方法,并针对其影响因子建模;验证结果表明,提取精度为98%,证实了地质灾害识别标志及方法的正确性;因子分析结果表明,人为因素是导致灾害发生的最主要原因,岩性、构造和坡度是灾害发生的重要因素;加强矿区监测与管理是预防矿难再次发生的根本保证。
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| 关 键 词： | 矿山 地质灾害 监测 遥感 史家营 |
Geological hazards monitoring method and its formation analysis in mining area |
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| WANG Qin-jun,CHEN Yu,LIN Qi-zhong,LI Hui.Geological hazards monitoring method and its formation analysis in mining area[J].The Chinese Journal of Geological Hazard and Control,2011,22(1):75-79. |
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| Authors: | WANG Qin-jun CHEN Yu LIN Qi-zhong LI Hui |
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| Institution: | (Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China) |
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| Abstract: | In order to enhance the capability of mine monitoring,containing illegal mining,mine geological hazard′s identification marks,monitoring method and formation factors model were built based on the example of Shi Jia-ying county,Fangshan district,Beijing.Field verification shows that the method′s accuracy is 98%.Mine geological hazard formation factors analysis shows that the human activites are the main factor,besides,litho,structure and slope are important factors.Therefore,enhancing mine monitoring and management are of important assurance to prevent mine geological hazard from happening again. |
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| Keywords: | mine geological hazards monitoring remote sensing Shijiaying Beijing |
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