大型引水工程地面沉降PS-InSAR监测与分析

doi:10.13474/j.cnki.11-2246.2025.0704

测绘通报 ›› 2025, Vol. 0 ›› Issue (7): 19-25,72.doi: 10.13474/j.cnki.11-2246.2025.0704

大型引水工程地面沉降PS-InSAR监测与分析

熊春宝¹, 安贺雯¹, 苏广利^1,2

1. 天津大学建筑工程学院, 天津 300350;
2. 中国地震局第一监测中心, 天津 300180

收稿日期:2024-12-03 发布日期:2025-08-02
通讯作者: 安贺雯。E-mail:anhw1999@163.com
作者简介:熊春宝(1964—),男,博士,教授,研究方向为地面沉降监测。E-mail:luhai_tj@126.com
基金资助:
国家重点研发计划(2023YFC3009301);天津市自然基金面上项目(23JCYBJC01090)

PS-InSAR monitoring and analysis of ground subsidence in large-scale water diversion project

XIONG Chunbao¹, AN Hewen¹, SU Guangli^1,2

1. School of Civil Engineering, Tianjin University, Tianjin 300350, China;
2. The First Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China

Received:2024-12-03 Published:2025-08-02

摘要/Abstract

摘要： 南水北调工程是一项旨在缓解南北方水资源分配不均问题的国家战略工程,对工程沿线进行地表形变监测可以识别安全隐患,对这一大型引水工程的安全运行具有重要意义。本文首先基于覆盖南水北调中线工程天津支线2020年7月至2023年6月的45景Sentinel-1A影像数据,采用永久散射体干涉测量技术(PS-InSAR)对研究区域进行地表沉降监测,得到了该地区的年平均沉降速率和累积沉降量;然后与全球导航卫星系统(GNSS)数据对比,验证了PS-InSAR技术测量地表形变的可靠性。结果表明,研究时间内研究区平均地表沉降速率范围为-72.26～17.30 mm/a;天津支线工程经过两个明显的沉降区,分别位于保定市雄县和廊坊市固安县交界处、廊坊市霸州市东部;影响该地区地面沉降的主要原因包括地下水的过度开采、城市基础设施建设及工业化进程加速导致的地面荷载增加;通过对地下水位的变化曲线与地面累计沉降量的对比可知,研究区的地表形变整体上相较于地下水位变化滞后约1～3 年。

关键词: PS-InSAR, 地面沉降监测, 南水北调中线工程

Abstract: The South-to-North Water Diversion project is a national strategic project aimed at alleviating the problem of unequal distribution of water resources between the south and the north. Ground deformation monitoring along the project can identify potential safety hazards and is greatly significant to the safe operation of this large-scale water diversion project. 45 Sentinel-1A imagery data from July 2020 to June 2023 are acquired for the Tianjin branch of the South-to-North Water Diversion project.Persistent scatterer interferometric synthetic aperture radar (PS-InSAR) is used to monitor the ground subsidence in the study area. The average annual rate and the cumulative amount of subsidence in the area are obtained. The reliability of PS-InSAR in measuring ground deformation is verified by comparing with the data of Global Navigation Satellite System (GNSS).The results show that the average ground subsidence rate in the study area ranges from -72.26 to 17.30 mm/a during the study time. There are two obvious subsidence zones along the Tianjin branch, which one is located at the junction of Xiongxian county and Gu'an county, and another the eastern part of Bazhou city. The main reasons of ground subsidence in the area include over-exploitation of groundwater and the increase of ground loads due to urban infrastructure construction and accelerated industrialization.The lag time of ground deformation in the study area compared to groundwater level changes is about 1 to 3 years.

Key words: PS-InSAR, monitoring of ground subsidence, middle route of the South-to-North Water Diversion project

中图分类号:

P237

熊春宝, 安贺雯, 苏广利. 大型引水工程地面沉降PS-InSAR监测与分析[J]. 测绘通报, 2025, 0(7): 19-25,72.

XIONG Chunbao, AN Hewen, SU Guangli. PS-InSAR monitoring and analysis of ground subsidence in large-scale water diversion project[J]. Bulletin of Surveying and Mapping, 2025, 0(7): 19-25,72.

参考文献

[1] GUPTA J,VAN DER ZAAG P.Interbasin water transfers and integrated water resources management: where engineering,science and politics interlock[J].Physics and Chemistry of the Earth,Parts A/B/C,2008,33(1/2):28-40.
[2] ROGERS S,CHEN Dan,JIANG Hong,et al.An integrated assessment of China's south:north water transfer project[J].Geographical Research,2020,58(1):49-63.
[3] 周玉营,陈蜜,宫辉力,等.基于时序InSAR的京津高铁北京段地面沉降监测[J].地球信息科学学报,2017,19(10):1393-1403.
[4] 许强,蒲川豪,赵宽耀,等.延安新区地面沉降时空演化特征时序InSAR监测与分析[J].武汉大学学报(信息科学版),2021,46(7):957-969.
[5] HU R L,YUE Z Q,WANG L C,et al.Review on current status and challenging issues of land subsidence in China[J].Engineering Geology,2004,76(1/2):65-77.
[6] 雷坤超,贾三满,陈蓓蓓,等.基于PS-InSAR技术的廊坊市地面沉降监测研究[J].遥感技术与应用,2013,28(6):1114-1119.
[7] FERRETTI A,PRATI C,ROCCA F.Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[8] KRIEGER G,MOREIRA A,FIEDLER H,et al.TanDEM-X:a satellite formation for high-resolution SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(11):3317-3341.
[9] 王朱亭,张超,姜光政,等.雄安新区现今地温场特征及成因机制[J].地球物理学报,2019,62(11):4313-4322.
[10] 龙慧,杜鹏,孙晟,等.二维地震精细探测雄安新区3000m以浅地质结构[J].大地测量与地球动力学,2023,43(3):275-281.
[11] FARR T G,ROSEN P A,CARO E,et al.The shuttle radar topography mission[J].Reviews of Geophysics,2007,45(2):RG2004.
[12] 中国地质环境监测院.国家地下水监测网[EB/OL].[2023-04-23].https://geocloud.cgs.gov.cn.
[13] 廖明生,裴媛媛,王寒梅,等.永久散射体雷达干涉技术监测上海地面沉降[J].上海国土资源,2012,33(3):5-10.
[14] HOOPER A,ZEBKER H A.Phase unwrapping in three dimensions with application to InSAR time series[J].Journal of the Optical Society of America A: Optics and Image Science,and Vision,2007,24(9):2737-2747.
[15] 廖明生,王腾.时间序列InSAR技术与应用[M].北京:科学出版社,2014.
[16] 陶秋香,刘国林.PS InSAR公共主影像优化选取的一种新方法[J].武汉大学学报(信息科学版),2011,36(12):1456-1460.
[17] 南天,曹文庚,任印国,等.京津冀平原浅层地下水漏斗演变规律与影响因素[J].南水北调与水利科技(中英文),2024,22(1):110-121.
[18] 张自力,朱筱敏,李琦,等.霸县凹陷古近系层序格架下沉积充填响应过程分析[J].中国矿业大学学报,2019,48(1):124-141.
[19] 卢旺达,韩春明,岳昔娟,等.基于Sentinel-1A数据的天津地区PS-InSAR地面沉降监测与分析[J].遥感技术与应用,2020,35(2):416-423.
[20] YU Wen,GONG Huili,CHEN Beibei,et al.Combined GRACE and MT-InSAR to assess the relationship between groundwater storage change and land subsidence in the Beijing-Tianjin-Hebei Region[J].Remote Sensing,2021,13(18):3773.

大型引水工程地面沉降PS-InSAR监测与分析

PS-InSAR monitoring and analysis of ground subsidence in large-scale water diversion project

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张诗玉, 张姿旗, 李雯雯, 高廷婷, 祁礼刚, 曹宏文. 融合PS与DS方法的2019—2023年郑州城区地表形变研究[J]. 测绘通报, 2025, 0(2): 127-131.
[2]	李国成, 陈光武, 司涌波. 结合多源气象数据的TSCSO-SVR季冻区铁路路基形变预测[J]. 测绘通报, 2025, 0(1): 143-149.
[3]	高鹏, 耿长良, 李鹏, 熊琦智. 时序InSAR技术在地铁沿线形变监测中的应用[J]. 测绘通报, 2024, 0(4): 112-118.
[4]	张敏, 郑哲, 陈哲锋. 基于PS-InSAR的福建寿宁地区地表形变监测与分析[J]. 测绘通报, 2024, 0(12): 117-122.
[5]	李鑫, 魏冠军, 张德龙. 联合PS-InSAR技术与多变量LSTM神经网络的高铁路基冻胀形变预测研究[J]. 测绘通报, 2024, 0(1): 58-64.
[6]	石银涛, 胡超, 赵钢, 侯婷婷. PS-InSAR技术在长江堤防沉降监测中的应用[J]. 测绘通报, 2023, 0(7): 142-148.
[7]	高建东, 王勇, 安江雷, 姜俊狄. 一种多源地面沉降监测数据融合方法及其应用[J]. 测绘通报, 2023, 0(10): 158-162,172.
[8]	陶威, 贾洪果, 亢邈迒, 刘雨鑫. 基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用[J]. 测绘通报, 2023, 0(1): 101-106.
[9]	朱邦彦, 唐超, 任志忠, 马状, 张琪, 李云. 基于PS-InSAR技术的珠海市地表形变监测与驱动力分析[J]. 测绘通报, 2022, 0(6): 108-113.
[10]	李佳豪, 周吕, 马俊, 杨飞, 咸凌霄. 利用PS-InSAR技术进行城市地铁沿线形变监测与机理分析[J]. 测绘通报, 2022, 0(4): 20-25.
[11]	田秀秀, 王彦兵, 李晨霞, 李小娟, 朱琳. 基于熵和转移矩阵分析北京地铁15号线地面沉降时空特征[J]. 测绘通报, 2022, 0(11): 67-73.
[12]	赵中枢, 张红峰. 基于分时散射目标的非城区地形PS-InSAR监测[J]. 测绘通报, 2021, 0(5): 68-72.
[13]	吴学雨, 李明峰, 董思学, 王彬, 赵志胜. 利用基于抗差垂直向方差分量估计的GPS-InSAR数据融合方法反演三维形变场[J]. 测绘通报, 2021, 0(12): 38-43.
[14]	熊鹏, 左小清, 李勇发, 谢文斌, 游洪, 王志红. InSAR技术在高速公路灾害辅助识别中的应用[J]. 测绘通报, 2020, 0(8): 87-91.
[15]	梁小龙, 王建业, 白泽朝, 齐二恒, 李攀. 基于PS-InSAR技术的黄土大厚度挖方区回弹变形规律分析[J]. 测绘通报, 2020, 0(3): 163-166.