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Study on high-precision regional monitoring method of high-grade highways subsidence under the influence of underground mining

机译:地下开采影响下高等级公路沉降的高精度区域监测方法研究

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摘要

High-grade highways are the foundation of regional economic development. How to monitor the deformation of high-grade highways under the influence of underground mining and guarantee their safe operation is very important and is directly relevant to regional economic development. Considering that Differential interferometric synthetic aperture radar (D-InSAR) technology has low monitoring accuracy around the maximum subsidence and high-accuracy levelling can only monitor the deformation of finite number points, the method of assimilating the D-InSAR data and levelling monitoring data based on Kalman filtering theory is proposed to improve precision of regional monitoring. Research results indicate that data assimilation results based on ensemble Kalman filter are much better than the inversion results and D-InSAR data. When applied to Zouji Highway of Jining, the total RMS is 17.7 mm after assimilating the D-InSAR data and levelling monitoring data, which can meet accuracy requirements of deformation monitoring of high-grade highways. Research results are of theoretical and practical significance to guarantee safe operation of high-grade highways under the influence of mining activities.
机译:高等级公路是区域经济发展的基础。如何在地下开采的影响下监测高等级公路的变形并保证其安全运行是非常重要的,直接关系到区域经济发展。考虑到差分干涉合成孔径雷达(D-InSAR)技术在最大沉降附近的监测精度较低,高精度水准只能监测有限个点的变形,因此将D-InSAR数据同化和水准监测的方法提出了基于卡尔曼滤波的理论,以提高区域监测的精度。研究结果表明,基于集成卡尔曼滤波的数据同化结果远优于反演结果和D-InSAR数据。应用于济宁左济高速公路,将D-InSAR数据和水准监测数据同化后的总RMS为17.7 mm,可以满足高等级公路变形监测的精度要求。研究结果对于保证采矿活动影响下高等级公路的安全运行具有理论和现实意义。

著录项

  • 来源
    《Survey Review》 |2018年第359期|174-185|共12页
  • 作者单位

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China;

    Qi Lu Inst Technol, Sch Civil Engn, Jinan 250200, Shandong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Data assimilation; High-grade highways; Regional monitoring; Surface subsidence;

    机译:数据同化;高等级公路;区域监测;地面沉降;

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