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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
采动期间高等级公路DInSAR监测及损害治理
  • Title

    DInSAR Monitoring and Damage Control of High Grade Highway During Coal Mining Period

  • 作者

    元亚菲邓喀中李怀展

  • Author

    YUAN Ya-fei DENG Ka-zhong LI Huai-zhan

  • 单位

    中国矿业大学国土环境与灾害监测国家测绘局重点实验室中国矿业大学环境与测绘学院

  • Organization
    Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology
    School of Environment Science and Spatial Informatics, China University of Mining and Technology
  • 摘要
    为了评定采动期间地表沉降对采空区上方高等级公路的破坏程度,采用合成孔径差分干涉测量(DInSAR)的技术,利用南屯矿区10景TerraSAR-X卫星数据,对位于老采空区上方的高等级公路在重复采动条件下的沉降情况进行监测。获取了监测期间的开采沉陷时序关系图,这是传统测量方法难以达到的。通过提取出高等级公路时间序列上的下沉值,并基于此值对邹济高等级公路进行损害程度评定,研究表明:公路在监测期间内最大下沉值达到210 mm,最大水平变形为3.1 mm/m,最大曲率为0.046 mm/m2,最大倾斜为3.175 mm/m,使公路产生裂缝、隆起,属于轻微损害,针对损害特征给出了相应措施。
  • Abstract
    In order to evaluating the damage degree of high grade highway above mine goaf during coal mining, Differential Inter feormetry Synthetic Aperture Rad ar (DInSAR) technology was applied to monitor the subsidence of high grade highway above old goaf under the condition of repeated mining with the TerraSAR-X satelli te is 10 scenes of Nantun Mining Area. The experiment obtained the timing diagrams of mining subsidence during monitoring which was difficult to achieve with a traditi onal measurement method. The subsidence values of high grade highway on the time were extracted. The damage degree of Zouji Highway was assessed based on the monitoring values. Studies showed that the highway had the maximum subsidence of 210 mm, the maximum horizontal deformation of 3.1 mm/m, the maximum curvatu re value of 0.046 mm/m2, the maximum inclined value of 3.175 mm/m in the period of monitoring. These leaded the highway to present the phenomenon of cracks and bulges that caused the highway minor damage. According to the damage characteristics, the constructive measures were given.
  • 关键词

    高等级公路DInSAR采空区沉降监测

  • KeyWords

    high grade highway; DInSAR; goaf; subsidence monitoring;

  • 基金项目(Foundation)
    国家自然科学基金资助项目(41272389);江苏高校优势学科建设工程资助项目(SZBF2011-6-B35);
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