测绘通报 ›› 2022, Vol. 0 ›› Issue (11): 138-143.doi: 10.13474/j.cnki.11-2246.2022.0341

• 技术交流 • 上一篇    下一篇

不同手段和尺度下地面沉降时空变化特征分析——以深圳大空港区为例

谢文军   

  1. 深圳市勘察测绘院(集团)有限公司, 广东 深圳 518028
  • 收稿日期:2022-07-18 修回日期:2022-10-12 发布日期:2022-12-08
  • 作者简介:谢文军(1982-),男,硕士,高级工程师,从事测绘生产和管理工作。E-mail:3771980@qq.com

Analysis of land subsidence variation characteristics under different means and scales:a case study of Shenzhen Dakonggang District

XIE Wenjun   

  1. Shenzhen Surveying and Mapping Institute(Group) Co., Ltd., Shenzhen 518028, China
  • Received:2022-07-18 Revised:2022-10-12 Published:2022-12-08

摘要: 本文利用不同手段和不同尺度的地面监测方法,分析城市填海区地面沉降的时空变化特征。通过深圳市大空港区的地面沉降监测工程实例分析,结合精密水准测量和遥感监测手段,实现了不同尺度地面沉降监测,获取该区域地面沉降时空变化特征。研究结果表明,精密水准测量方法与遥感监测方法均发现了会展中心周围道路产生的沉降,具有相同的变化特征。精密水准监测方法能较精确地获取局部地面沉降量,在石围路的建筑基坑周边产生最大为-303.6mm的地面沉降。结合不同手段和不同尺度的监测方法,可以较全面获取监测对象的形变特征。

关键词: 水准监测, SBAS, InSAR, 地面沉降, 时空变化

Abstract: In this paper, the spatio-temporal variation characteristics of land subsidence in urban reclamation areas are analyzed by using different means and different scale ground monitoring methods. Through the analysis of the land subsidence monitoring project in Shenzhen Dakonggang District, combined with precise leveling and remote sensing monitoring methods, the land subsidence monitoring at different scales is realized, and the spatio-temporal variation characteristics of land subsidence in this area are obtained. The research results show that both precision leveling method and remote sensing monitoring method have found that the settlement caused by the roads around the Convention and Exhibition Center has the same change characteristics. The precise leveling monitoring method can accurately obtain the local ground settlement, and the maximum ground settlement around the building foundation pit of Shiwei road is -303.6mm. Combined with different means and different scale monitoring methods, the deformation characteristics of the monitoring object can be obtained comprehensively.

Key words: leveling monitoring, SBAS, InSAR, land subsidence, temporal and spatial variation

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