基于SBAS-InSAR的红塔区地表形变监测研究
Research on Surface Deformation Monitoring in Hongta District Based on SBAS-InSAR
DOI: 10.12677/gst.2026.143022, PDF,    科研立项经费支持
作者: 李鹅燕, 王 涛*, 王 雨:玉溪师范学院地理与国土工程学院,云南 玉溪
关键词: 沉降监测SBAS-InSARSentinel-1红塔区Subsidence Monitoring SBAS-InSAR Sentinel-1 Hongta District
摘要: 地表沉降已成为我国主要的地质灾害之一,具有累进而不可逆转的特性,实时监测红塔区地表沉降变化特征,对相关政策制定、城市建设发展具有重大意义。因此,基于2020-01~2023-12期间147景的Sentinel-1影像数据,通过采用SBAS-InSAR技术研究红塔区的地面沉降时空演变特征,获得了该时间段内的沉降时间序列及累积沉降量,并分析了该地区的地面沉降时空演变特征与多个因素的关联关系。结果表明:① 红塔区沉降分布不均,沉降中心连片发展,最大沉降速率达−54.5 mm/yr。城市西南部出现大范围沉降现象,并出现明显的沉降漏斗。② 研究区域地面沉降与降水量,城市化进程存在相关性。
Abstract: Surface subsidence has emerged as one of the predominant geological hazards in China, characterized by its progressive and irreversible nature. Real-time monitoring of surface subsidence in Hongta District is of paramount importance for informing policy formulation and guiding urban development. Consequently, utilizing 147 scenes of Sentinel-1 imagery acquired betweenes from January 2020 toand December 2023, this study employed the SBAS-InSAR technology was iqused to investudyigate the spatiotemporal and spatial evolution characteristics of land subsidence in the Hongta area, from which time-series and cumulative subsidence data were derived. Furthermore, the correlations between the spatiotemporal evolution characteristics of subsidence and multiple influencing factors were comprehensively analyzed. The results indicate that: (1) The subsidence distribution in the Hongta area is spatially uneven, with the subsidence center exhibiting continuous expansion. The maximum subsidence rate reached -54.5 mm/yr. A large-scale subsidence phenomenon was identified in the southwestern part of the city, chand ractherized isby an obvdious setinctl subsidemncent funnel. (2) ThereA sis gnificant correlation was observed between land subsidence and, precipitation, and urbanization within the study area.
文章引用:李鹅燕, 王涛, 王雨. 基于SBAS-InSAR的红塔区地表形变监测研究[J]. 测绘科学技术, 2026, 14(3): 226-237. https://doi.org/10.12677/gst.2026.143022

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