| 基于SBAS-InSAR技术的天津地区地表沉降监测研究 |
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| 引用本文：仝云霄,胡晓佳,杨俊泉,王 威,孟中玙,段霄龙,曹思琦.2025.基于SBAS-InSAR技术的天津地区地表沉降监测研究[J].地球学报,46(4):875-888. |
| DOI：10.3975/cagsb.2024.091901 |
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| 作者 | 单位 | E-mail | | 仝云霄 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | tyunxiao@126.com | | 胡晓佳 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | 278558023@qq.com | | 杨俊泉 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | | | 王 威 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | | | 孟中玙 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170 | | | 段霄龙 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | | | 曹思琦 | 中国地质调查局天津地质调查中心, 天津 300170
华北地质科技创新中心, 天津 300170
天津市海岸带地质过程与环境安全重点实验室, 天津 300170 | |
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| 基金项目:中国地质调查局地质调查项目“华北地区自然资源动态监测与风险评估”(编号: DD20230101); “地质调查工作部署辅助决策支持系统建设”(编号: DD20242353) |
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| 中文摘要:地表沉降是天津地区主要地质灾害之一, 对社会稳定和经济发展具有严重负面影响, 每年都造成巨大的经济损失, 有必要对其地表沉降进行广域高效监测。本文以2017年1月—2020年12月天津地区的48景升轨Sentinel-1A和48景降轨Sentinel-1B数据为基础, 基于短基线集干涉测量技术(Small Baseline Subset InSAR, SBAS-InSAR)对地表沉降进行监测, 获取天津地区沉降速率和累计沉降量, 使用内符合精度和已有研究成果验证了监测结果的精度和可靠性, 分析了沉降时空变化特征及演化规律, 并结合沉降剖面图和土地利用类型对典型沉降区进行了重点研究。升轨和降轨数据监测的沉降分布特征基本一致, 结果显示, 天津地区沉降分布较广, 且空间分布不均, 市内六区相对稳定, 市区周边出现了5个典型的沉降漏斗, 主要集中在武清区的王庆坨镇、河北省霸州市的胜芳镇、静海区的团泊镇、西青区的王稳庄镇以及津南区的八里台镇, 监测期间最大地表沉降速率达到127.35 mm/a, 最大累计沉降量达到378.21 mm; 分析发现天津地区沉降与地下水过度开采、城市基础设施的发展、大型工程的建设等密切有关。研究表明了InSAR技术在大区域地表沉降监测的可靠性, 研究成果可为沉降防治提供数据支撑和重要决策依据, 为天津地区城市建设提供参考意义。 |
| 中文关键词:SBAS-InSAR 城市沉降 地表形变监测 天津地区 环境地质调查工程 |
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| Study on Land Surface Subsidence Monitoring in Tianjin Area Based on SBAS-InSAR Technology |
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| Abstract:Surface subsidence is one of the major geological disasters in Tianjin area, having a serious negative impact on social stability and economic development, causing significant economic losses annually. Therefore, it is necessary to conduct wide-area and efficient monitoring of surface subsidence. The 48 scenes ascending Sentinel-1A images and 48 scenes descending Sentinel-1B images of Tianjin area taken from January 2017 to December 2020, were used to monitor surface subsidence based on Small Baseline Subset InSAR (SBAS-InSAR) technology. The surface subsidence rates and cumulative subsidence results of Tianjin area were obtained. Moreover. The accuracy and reliability of the monitoring results were verified by internal coincidence accuracy and existing study results. The spatiotemporal variation characteristics and evolution laws of subsidence were analyzed, with a key study was conducted on typical subsidence areas based on subsidence profiles and land-use types. The results show that the subsidence distribution characteristics monitored by ascending and descending orbit data are essentially the same. The subsidence distribution in the Tianjin area was extensive and spatially uneven. Specifically, the six districts in Tianjin were relatively stable, while five typical subsidence funnels formed around the urban area, mainly concentrated in Wangqingtuo Town in Wuqing District, Shengfang Town in Bazhou City, Tuanbo Town in Jinghai District, Wangwenzhuang Town in Xiqing District, and Balitai Town in Jinnan District. During the monitoring period, the maximum surface subsidence rate reached 127.35 mm/a, and the maximum cumulative subsidence amount reached 378.21 mm. It was found that the subsidence in the Tianjin area is closely related to the over-exploitation of groundwater, the development of urban infrastructure, and the construction of large-scale projects. This study demonstrates the reliability of InSAR technology in monitoring surface subsidence in large areas, providing data support and an important decision-making basis for subsidence prevention and control, and offering reference significance for urban construction in Tianjin. |
| keywords:SBAS-InSAR urban subsidence surface deformation monitoring Tianjin area environmental geological survey engineering |
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