基于小基线集干涉测量的天津地区地表沉降时空分析
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P237

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Spatial-Temporal Analysis of Surface Subsidence in Tianjin Area Based on SBAS-InSAR
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    摘要:

    本文基于覆盖天津地区2017~2019年期间的30景Sentinel-1A影像数据,采用SBAS-InSAR方法对研究区域进行地面沉降监测,获取了天津地区的年平均沉降速率和累积沉降量,并与水准数据进行比对,最后分析了该地区的沉降时空特征。结果表明:2017~2019年大部分区域地表形变速率在-15.8mm/a ~ 4.1mm/a之间,最大沉降速率超过-130mm/a,最大沉降中心位于天津市西青区王庆坨镇;基于SBAS-InSAR获取的沉降结果与水准测量结果比对,其精度达到2.96mm;地表沉降受地下水开采、城市基础建设的发展以及工业用地量、人为活动等方面因素影响明显。

    Abstract:

    In this paper, based on 36 scenes of Sentinel-1A image data covering the Tianjin area from 2017 to 2019,we used SBAS-InSAR method to study land subsidence monitoring area and achieve the annual average settlement rate and cumulative settlement Tianjin area. The SBAS-InSAR derived results were compared with leveling data. Finally, the spatial-temporal characteristics of subsidence in the region was analyzed. The results show that most of the regional surface deformation rate is in the range of -15 to 13 mm / a from 2017 to 2019,and the maximum subsidence rate of more than -130 mm/a,the largest settlement center is located in the town of wang qingtuo, xiqing district, Tianjin; the settlement results obtained based on SBAS-InSAR are compared with the level measurement results, and the accuracy reaches 2.96 mm; surface subsidence is obviously affected by factors such as groundwater exploitation, urban infrastructure development, industrial land use, and human activities.

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朱子林,任超,周吕,等. 基于小基线集干涉测量的天津地区地表沉降时空分析[J]. 科学技术与工程, 2020, 20(18): 7152-7158.
Zhu Zilin, Ren Chao, Zhou Lü,et al. Spatial-Temporal Analysis of Surface Subsidence in Tianjin Area Based on SBAS-InSAR[J]. Science Technology and Engineering,2020,20(18):7152-7158.

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  • 收稿日期:2019-09-26
  • 最后修改日期:2020-05-04
  • 录用日期:2019-12-19
  • 在线发布日期: 2020-07-28
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