测绘通报 ›› 2021, Vol. 0 ›› Issue (7): 86-91,97.doi: 10.13474/j.cnki.11-2246.2021.0214

• 区域形变监测成果 • 上一篇    下一篇

雷达技术支持下的福州市地铁沿线形变监测

陈安平, 谭远模, 阳成, 覃永基   

  1. 广东省地质测绘院, 广东 广州 510800
  • 收稿日期:2021-05-12 出版日期:2021-07-25 发布日期:2021-08-04
  • 作者简介:陈安平(1979-),男,硕士,高级工程师,主要从事测绘领域的相关工作。E-mail:21885605@qq.com

Deformation monitoring along Fuzhou metro line based on radar technology

CHEN Anping, TAN Yuanmo, YANG Cheng, QIN Yongji   

  1. Geology Surveying and Mapping Institute of Guangdong, Guangzhou 510800, China
  • Received:2021-05-12 Online:2021-07-25 Published:2021-08-04

摘要: 近年来,由于地铁等地下工程大规模的建设产生了严重的地表沉降,从而诱发许多地质灾害,严重阻碍了中国城市化进程。因此,采用高精度雷达监测技术,对城市地质灾害监测及风险评估具有重要意义。本文利用SBAS-InSAR技术,基于24景X波段TerraSAR数据和32景C波段Sentinel-1数据,时间跨度分别为2013年7月至2015年8月、2015年7月至2018年2月,对地铁建设完成后的福州市区地表沉降进行长时间系列形变监测。监测结果表明,研究区域内的最大沉降速率为-12 mm/a,在整个观测周期内发现了8个沉降漏斗。并对这些区域进行进一步的时间序列分析,其中有3个区域呈现出地质灾害初期的特征,并且地表沉降存在进一步加剧的可能。

关键词: 小基线子集技术, 时间序列分析, 福州, 地表沉降, 地铁

Abstract: In recent years, the massive construction of underground projects such as subways in China has produced serious surface subsidence, which leads to many geological hazards in cities and hinders the development of urbanization in China.Therefore, the use of high spatial resolution and high temporal resolution monitoring technology for urban geological hazards monitoring as well as risk assessment is of great importance for the healthy development of cities. In this study, we apply the SBAS-InSAR technique to monitor the land subsidence in Fuzhou downtown after the program of metro construction. 24 scenes of X-band TerraSAR data from July 2013 to August 2015 and 32 scenes of C-band Sentinel-1 data from July 2015 to February 2018 are used in this experiment. Our results show a maximum subsidence rate of -12 mm/a, and eight subsidence funnels have been found during the observed period. After analyzing the subsidence of these regions in a long time span, it can be concluded that three areas show the characteristics of the initial stage of geological disaster, and there is a possibility of further intensification of surface subsidence.

Key words: small baseline subset, time-series analysis, Fuzhou, ground subsidence, metro

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