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雷达技术支持下的福州市地铁沿线形变监测
引用本文:陈安平,谭远模,阳成,覃永基.雷达技术支持下的福州市地铁沿线形变监测[J].测绘通报,2021,0(7):86-91,97.
作者姓名:陈安平  谭远模  阳成  覃永基
作者单位:广东省地质测绘院,广东 广州510800
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  时问序列分析  福州  地表沉降  地铁
收稿时间:2021-05-12

Deformation monitoring along Fuzhou metro line based on radar technology
CHEN Anping,TAN Yuanmo,YANG Cheng,QIN Yongji.Deformation monitoring along Fuzhou metro line based on radar technology[J].Bulletin of Surveying and Mapping,2021,0(7):86-91,97.
Authors:CHEN Anping  TAN Yuanmo  YANG Cheng  QIN Yongji
Institution:Geology Surveying and Mapping Institute of Guangdong, Guangzhou 510800, China
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.
Keywords:small baseline subset  time-series analysis  Fuzhou  ground subsidence  metro  
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