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基于SBAS-InSAR的中老铁路玉溪化念段地表形变监测研究
Research on Surface Deformation Monitoring of the Yuxi-Huanian Section of the China-Laos Railway Based on SBAS-InSAR

DOI: 10.12677/ag.2024.147092, PP. 991-1004

Keywords: SBAS-InSAR,中老铁路玉溪化念段,地表形变监测
SBAS-InSAR
, Yuxi-Huanian Section of China-Laos Railway, Surface Deformation Monitoring

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Abstract:

地面沉降是一种缓变型地质灾害,具有发展缓慢、影响范围广泛和防治难度大等特点,对城市建设、社会发展和居民日常生活构成潜在威胁。中老铁路玉溪化念段途经大营街街道、高仓街道、研和镇、化念镇几个主要乡镇,监测区域内地面沉降现象,对其安全运营具有重要影响。本研究基于多主影像的小基线集技术(SBAS-InSAR),选取时间跨度为2020年9月~2023年9月共32景Sentinel-1A的升轨SLC数据,采用VV的极化方式对中老铁路玉溪化念段沿线经过地区进行地表形变监测。研究结果表明:① 研究区地表整体沉降速率明显大于抬升速率,沉降分布状况集中于研究区东北部,中心最大年均沉降速率达?71.65 mm/a。② 玉溪站到研和站的线路段为严重沉降区,其最严重的年平均沉降速率可达?65.41 mm/a。③ 玉溪站和研和站呈现出显著的地表沉降趋势,而峨山站则展示了地表抬升的特性,突显了地质活动、水文条件和人类工程活动在地表形变中的综合作用。
Land subsidence is a type of slow-moving geological hazard characterized by its gradual development, wide impact range, and high difficulty of prevention and control, posing potential threats to urban construction, social development, and people’s lives. The China-Laos Railway section from Yuxi to Huadian passes through several key towns, including Daying Street, Gaocang Street, Yanhe Town, and Huadian Town. Assessing the development of land subsidence in this area is crucial for the safe operation of the railway. This study utilizes the Small Baseline Subset (SBAS-InSAR) technique based on multi-master images, selecting a total of 32 ascending orbit SLC datasets from Sentinel-1A, covering the period from September 2020 to September 2023, using VV polarization to monitor surface deformation along the Yuxi-Huanian section of the China-Laos Railway. The results indicate that: ① The overall subsidence rate of the surface in the study area is significantly greater than the uplift rate, with subsidence concentrated in the northeastern part of the study area, where the maximum annual average subsidence rate reaches ?71.65 mm/a. ② The section from Yuxi Station to Yanhe Station is identified as a severe subsidence area, with the most severe annual average subsidence rate reaching ?65.41 mm/a. ③ Yuxi Station and Yanhe Station exhibit significant surface subsidence trends, while Eshan Station shows characteristics of surface uplift, highlighting the combined effects of geological activity, hydrological conditions, and human engineering activities on surface deformation.

References

[1]  周定义, 左小清, 赵志芳, 等. 基于SBAS-InSAR和改进BP神经网络的城市地面沉降预测[J]. 地质通报, 2023, 42(10): 1774-1783.
[2]  魏以宽, 等. 基于InSAR的武汉地区2016-2021年地面沉降监测[J]. 地理空间信息, 2023, 21(10): 69-72.
[3]  卫达宁, 王世杰. 基于时序InSAR技术的西安地铁沿线沉降监测及预测分析[J]. 地球物理学进展, 2024, 39(2): 498-509.
https://link.cnki.net/urlid/11.2982.P.20231103.1804.055
[4]  Ferretti, A., Prati, C. and Rocca, F. (2001) Permanent Scatterers in SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39, 8-20.
https://doi.org/10.1109/36.898661
[5]  Berardino, P., Fornaro, G., Lanari, R. and Sansosti, E. (2002) A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40, 2375-2383.
https://doi.org/10.1109/tgrs.2002.803792
[6]  李达, 邓喀中, 高晓雄, 等. 基于SBAS-InSAR的矿区地表沉降监测与分析[J]. 武汉大学学报?信息科学版, 2018, 43(10): 1531-1537.
[7]  李珊珊, 李志伟, 胡俊, 等. SBAS-InSAR技术监测青藏高原季节性冻土形变[J]. 地球物理学报, 2013, 56(5): 1476-1486.
[8]  张金芝, 黄海军, 毕海波. SBAS时序分析技术监测现代黄河三角洲地面沉降[J]. 武汉大学学报?信息科学版, 2016, 41(2): 242-248.
[9]  朱建军, 李志伟, 胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报, 2017, 46(10): 1717-1733.
[10]  张航, 左小清, 李勇发, 等. 小基线技术在玉溪市的地面沉降研究[J]. 城市勘测, 2021(6): 83-89.
[11]  玉溪市自然资源和规划局关于印发《玉溪市地质灾害防治“十四五”规划(2021-2025年)》的通知[EB/OL].
http://www.yuxi.gov.cn/yxszfxxgk/tz2956/20221019/1387811.html, 2022-10-19.
[12]  张航. 基于多时序InSAR玉溪盆地的地表形变监测研究[D]: [硕士学位论文]. 昆明: 昆明理工大学, 2023.
[13]  毛雯. 中老铁路为区域经济社会发展注入新活力[N]. 中国贸易报, 2023-12-07(001).
[14]  董荣蓉, 张莹莹, 陈维, 等. 抓住中老铁路开通机遇助力普洱经济社会发展[N]. 云南政协报, 2023-12-05(001).
[15]  玉溪市人民政府 政府信息公开网, 市商务局《紧抓中老铁路开通运营机遇! 玉溪加快物流基础设施建设助推开放型经济破局发展》[EB/OL].
https://mp.weixin.qq.com/s/BFnVHoYGULGA3lzHnopA8Q, 2023-08-01.
[16]  各项数据井喷式增长! 中老铁路为玉溪发展注入新活力增添新动能[EB/OL].
https://mp.weixin.qq.com/s/JCuwVwp3ed_WyHDVnYKEXg, 2023-12-05.
[17]  赵秀琴, 高雅萍, 李文雅, 等. 基于规则的数字校园三维场景建模方法研究[J]. 测绘与空间地理信息, 2016, 39(3): 155-156.
[18]  李明. 唐红梅. 叶四桥. 典型地质灾害链式机理研究[J]. 灾害学, 2008, 23(1): 1-5.
[19]  张苗红. 玉溪市城市地下水环境质量评价[D]: [硕士学位论文]. 昆明: 昆明理工大学, 2007.
[20]  宋子德. 玉溪大营街-常里温泉开发现状及环境地质问题[J]. 云南地质, 2010, 29(1): 64-68.
[21]  申太祥. 论城市建设对地面沉降的影响[J]. 科技资讯, 2010(1): 76-78.

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