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。
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.
出处
《中国地质灾害与防治学报》
CSCD
2011年第1期75-79,共5页
The Chinese Journal of Geological Hazard and Control
基金
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)
关键词
矿山
地质灾害
监测
遥感
史家营
mine
geological hazards
monitoring
remote sensing
Shijiaying
Beijing
