长沙理工大学学报(自然科学版)
基于SBAS-InSAR的钻井水溶矿山地表时序沉降场反演
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贺跃光(1966-),男,湖南益阳人,长沙理工大学教授,主要从事工程灾害监测与治理方面的研究。E-mail:hyg@csust.edu.cn

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P237

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国家自然科学基金青年基金资助项目(41701536);湖南省自然科学基金资助项目(2019jj60001);湖南省教育厅科研项目(13B129);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)


Time series of subsidence in version on drilling water-soluble miningarea using SBAS-InSAR
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    摘要:

    为研究某钻井水溶矿山地表形变发展规律,选取2016年11月12日至2019年06月06日欧洲航天局Sentinel-1A 影像数据,采用SBAS-InSAR技术获取研究区高相干点和地表时序形变图。根据高相干点个数及其参数,反演研究区沉降面积和沉降体积,并采用克里金插值法对研究区高相干点进行内插,获取沉降漏斗数据,然后与水准实测形变值进行对比。试验结果表明:2016年11月至2019年06月研究区地表最大累计沉降量为246mm,高相干点沉降值大于10mm 的区域内最大沉降面积为1.26km2,最大沉降体积为 118336m3。沉降结果与水准实测数据均方根误差为±8mm,地表沉降漏斗发育与溶腔内部承重水压对地表稳定性影响一致,沉降范围和体积反演结果可为研究区后期的土地保护与复垦提供依据。

    Abstract:

    Inordertostudythedevelopmentlawofsurfacedeformationofawell-water-solu-ble mine, the Sentinel-1A imagedata of the ESA from November 12, 2016 to June 06, 2019was selected, and the high-coherence and surface time series deformation maps of the study area were obtained by SBAS-InSAR technology.According to the number of high-coherence points and their parameters, the settlement area and settlement volume of the study area are inverted, and the high coherence point of the study area is interpolated by Kriging interpol a-tion method to obtain the data of the settlement funnel, and then compared with the level-ing data.The experimental results show that the maximum cumulative settlement of the surface of the study area from November 2016 to June2019 is 246mm,The maximum set-tlement area is 1.26km2 and the maximum settlement volume is 118 336m3 where the set-tlement value of the high coherence point is greater than 10mm.The root mean square er-r or between the calculating result and the leveling data is士8mm.The development of sur-face settlement funnel and the internal bearing water pressure of the cavity have the same influence on the stability of the ground surface.The in version results of the settlement range and volume provide the basis for land protection and reclamation of the study area in the future.

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贺跃光,蒋裕,肖亮,等.基于SBAS-InSAR的钻井水溶矿山地表时序沉降场反演[J].长沙理工大学学报(自然科学版),2019,16(4):42-47,56.
HE Yue-guang, JIANG Yu, XIAO Liang, et al. Time series of subsidence in version on drilling water-soluble miningarea using SBAS-InSAR[J]. Journal of Changsha University of Science & Technology (Natural Science),2019,16(4):42-47,56.

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  • 在线发布日期: 2022-04-24
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