长沙理工大学学报(自然科学版)
某钻井水溶开采矿区地表形变D-InSAR监测精度分析
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贺跃光(1966-),男,湖南益阳人,长沙理工大学教授,博士,主要从事大地测量和变形监测方面的研究。E-mail:hyg@csust.edu.cn

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P227

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国家自然科学基金青年基金项目(41701536);湖南省自然科学基金青年基金项目(2017JJ3322);道路灾变防治及交通安全部工程研究中心开放基金资助项目(KFJ150402);长沙理工大学公路养护技术国家工程实验室开放基金资助项目(kfj150105)


Precision analysis of surface deformation D-In SAR monitoring in a drilling water-soluble mining area
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    摘要:

    为了研究矿区地表形变以及沉降漏斗的生成机理、过程和趋势,获取沉陷发展规律,以及时采取有效措施进行生态重建,采用D-In SAR对某钻井水溶矿区进行了监测。选取某钻井水溶矿区地表2015-2017年Sentinel-1A影像构成2个干涉影像对,进行地表形变监测。在SAR Scape软件平台,针对D-In SAR干涉影像的基线误差、大气误差和地形误差等,通过干涉影像对配准、基线估计、滤波去噪和相位解缠,获取矿区地表形变图;借助ArcGIS空间分析工具和MATLAB软件,与水准测量数据进行叠加,分析沉陷区域的空间动态分布。然后进行D-In SAR形变数据和矿区水准沉降监测精度、相关性和误差源分析。研究结果表明,精细化D-In SAR监测与水准观测的形变趋势一致,达到了水溶矿山地表沉降体积的获取精度要求。

    Abstract:

    In order to study the formation mechanism, process and trend of surface deformation, settlement funnel in mining area, obtain the law of the development of subsidence, and take effective measures to carry out ecological reconstruction in time, the D-In SAR is used to monitor the water soluble mining area.Sentinel-1A image data from 2015 to 2017 is selected as the interference image data, constituting two interference image pairs,making surface deformation monitoring. According to the defects of baseline error,atmosphere error,terrain error and time losing correlation of the interferemetry images, taking the SAR scape software as the study plat-form, based on the fine two-pass D-In SAR mode,the interferemetry images are processed by using registration method,baseline estimation method and phase unwrapping method,control point selection,orbital refining and re-leveling,got mine deformation map. With Arc GIS Spatial Analysis Tools and MATLAB software,overlay with leveling data, analysis of mining subsidence area of the spatial distribution of dynamic location. Accuracy and correlation analysis of D-In SAR deformation data and mining subsidence monitoring and error source analysis. The results show that from coarse to fine streamline D-In SAR monitoring results consistent with the deformation of the observed results, to meet the requirements of watermelon surface settlement volume acquisition accuracy.

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贺跃光,刘聪,邢学敏.某钻井水溶开采矿区地表形变D-InSAR监测精度分析[J].长沙理工大学学报(自然科学版),2018,(3):79-84.
HE Yue-guang, LIU Cong, XING Xue-min. Precision analysis of surface deformation D-In SAR monitoring in a drilling water-soluble mining area[J]. Journal of Changsha University of Science & Technology (Natural Science),2018,(3):79-84.

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  • 在线发布日期: 2022-04-28
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