Sentinel-1A TS-InSAR地铁沿线地面沉降监测与分析
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P237

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国家自然科学基金资助项目(41461089);广西自然科学基金资助项目(2018GXNSFBA050006);广西科技计划项目(桂科AD19110107);武汉市科技计划项目(2019010702011314);桂林理工大学科研启动基金资助项目(GUTQDJJ2018036);广西中青年教师基础能力提升项目(2018KY0247);广西空间信息与测绘重点实验室项目(16-380-25-22,15-140-07-34)


Land Subsidence Detection and Analysis along the Subway Based on Sentinel-1A TS-InSAR
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    摘要:

    地铁的建设与运营容易引起地表的纵向沉降,从而影响城市的发展和人民生命和财产安全,因此及时掌握各地铁沿线地表沉降情况具有重要现实意义。本文以南宁地铁为例,利用Sentinel-1A SAR数据和TS-InSAR技术,借助外部高精度的POD Precise Orbit Ephemerides和ASTER GDEM V2去除由去相关引起的相位跳变,获取了2017年6月~2019年1月南宁地铁网络地面沉降速率场,并在此基础上重点分析了地铁沿线地面沉降情况和沉降时空分布规律。试验结果表明,2017~2019年,南宁整体的地表沉降特征较为明显,最大累计沉降达到了-47.41mm。大部分城区相对稳定,沉降区主要分布在各地铁沿线区域,且随着南宁经济的快速发展和城市地铁建设的加快,各地铁沿线地面沉降呈逐渐增强和扩散趋势。

    Abstract:

    The construction and operation of the subway is likely to cause vertical settlement of the surface, thus affecting the development of the city and the safety of people's lives and property. Therefore, it is of great practical significance to master the ground subsidence along the subway lines in time. This article takes the Nanning subway as an example and has adopted Sentinel-1A SAR data and TS-InSAR technology. The external high-precision POD Precise Orbit Ephemerides and ASTER GDEM V2 have been used to remove the phase jump caused by the decorrelation, and the ground subsidence rate field of the Nanning subway network from June 2017 to January 2019 was obtained. On this basis, the spatial and temporal distribution characteristics of land subsidence and land subsidence along the subway have been analyzed. The results showed that, from 2017 to 2019, the overall surface subsidence characteristics of Nanning are obvious, and the maximum cumulative subsidence is -47.41 mm. The surface deformation in most areas is relatively stable, and the areas where subsidence occurs are mainly distributed on the ground along the subway. With the rapid development of Nanning's economy and the acceleration of urban subway construction, the trend of surface settlement along the various subway lines is gradually increasing and spreading.

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任超,施显健,周吕,等. Sentinel-1A TS-InSAR地铁沿线地面沉降监测与分析[J]. 科学技术与工程, 2020, 20(2): 803-808.
Ren Chao, Shi Xianjian, Zhou Lü,et al. Land Subsidence Detection and Analysis along the Subway Based on Sentinel-1A TS-InSAR[J]. Science Technology and Engineering,2020,20(2):803-808.

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  • 收稿日期:2019-05-28
  • 最后修改日期:2019-08-16
  • 录用日期:2019-08-15
  • 在线发布日期: 2020-04-16
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