ISSN 1003-8035 CN 11-2852/P
    张凯翔,张占荣,于宪煜. SBAS-InSAR和PS-InSAR技术在鲁西南某线性工程沿线地面沉降成因分析中的应用[J]. 中国地质灾害与防治学报,2022,33(4): 65-76. DOI: 10.16031/j.cnki.issn.1003-8035.202108016
    引用本文: 张凯翔,张占荣,于宪煜. SBAS-InSAR和PS-InSAR技术在鲁西南某线性工程沿线地面沉降成因分析中的应用[J]. 中国地质灾害与防治学报,2022,33(4): 65-76. DOI: 10.16031/j.cnki.issn.1003-8035.202108016
    ZHANG Kaixiang, ZHANG Zhanrong, YU Xianyu. Application of SBAS-InSAR and PS-InSAR technologies in analysis of landslide subsidence along a linear infrastructure in Southwestern Shandong[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(4): 65-76. DOI: 10.16031/j.cnki.issn.1003-8035.202108016
    Citation: ZHANG Kaixiang, ZHANG Zhanrong, YU Xianyu. Application of SBAS-InSAR and PS-InSAR technologies in analysis of landslide subsidence along a linear infrastructure in Southwestern Shandong[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(4): 65-76. DOI: 10.16031/j.cnki.issn.1003-8035.202108016

    SBAS-InSAR和PS-InSAR技术在鲁西南某线性工程沿线地面沉降成因分析中的应用

    Application of SBAS-InSAR and PS-InSAR technologies in analysis of landslide subsidence along a linear infrastructure in Southwestern Shandong

    • 摘要: 地面沉降问题严重影响着鲁西南经济发展区交通工程建设。文中选择某线性工程两侧5 km范围作为研究区,文章收集RadarSAT-2(2017—2020年)、Sentinel-1A(2019—2020年)存档数据和沿线区域地质、水文地质、矿产开发资料,采用时序InSAR分析的方法,对研究区沿线地面沉降分布特征及规律进行综合分析。研究结果表明:研究区主要地面沉降诱因是煤矿采空区塌陷和地下水超量开采,前者以矿区工作面为中心形成沉降漏斗,沉降速率变化和沉降中心移动与煤矿作业工作面挖掘进度和转移密切相关;后者沉降分布规律与地下水开采使用点相关,形成与地下水开采使用范围相近的沉降带。研究区在2017—2020年内持续发生沉降,最大年均沉降速率为136.5 mm/a,单年累计最大沉降量为220 mm。经同期CPI水准点观测结果校核,InSAR数据处理成果平均误差小于1 cm/a,相关系数到达70%以上。本文采用的分析方法能及时准确反映出线路方案穿行研究区内各处地面沉降变化,为线路方案规划和地质灾害整治提供有效合理参考。

       

      Abstract: Land subsidence is a serious problem that affects the construction of traffic engineering in the economic development zone in southwestern Shandong Province. This paper selects the range of 5 km on both sides of a linear project as the research area. The article collects RadarSAT-2(2017-2020), Sentinel-1A(2019-2020) archived data , geological data, hydrogeological data, and mineral development data, and uses time-series InSAR measurement to analyze the distribution characteristics and laws of land subsidence in the study area. The research indicates: the main causes of ground subsidence in the study area are coal mine goaf collapse and excessive groundwater mining; the former forms a settlement funnel with the mining area as the center, the change of settlement rate and the movement of the settlement center are closely related to the mining progress and transfer of the coal mining area; The latter’s settlement distribution law is related to the distribution of groundwater use areas, forming a subsidence zone that similar to the range of groundwater mining. The study area continued to experience subsidence during 2017 to 2020, with the maximum annual subsidence rate at 136.5 mm/a, and the cumulative maximum subsidence in a single year at 220 mm. After checking the observation results of CPI benchmarking points during the same period, the average error of InSAR data processing results is less than 1cm/a, and the correlation coefficient is more than 70%. The analysis method adopted in this paper can timely and accurately reflect the changes in land subsidence throughout the study area, provide effective and reasonable reference for route planning and geological disaster remediation.

       

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