Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China

Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China
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利用 PS-InSAR 数据推导三角洲地区地铁建设和运营引起的地面沉降时空发展:以中国广州为例

DOI:
10.3390/rs9101004
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发表时间:
2017-09
期刊:
REMOTE SENSING(JCR2,IF=3.952)
影响因子:
--
通讯作者:
Zhu Jianjun
Zhu Jianjun
中科院分区:
其他
文献类型:
--
作者:
Wang Huiqiang;Feng Guangcai;Xu Bing;Yu Yongping;Li Zhiwei;Du Yanan;Zhu Jianjun

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地铁一直是缓解城市交通压力的重要手段,但在建设和运营过程中地面沉降问题十分严重,可能影响地铁运营及周边建筑物的安全。因此,对地铁网络进行长期地面变形监测和建模至关重要。与传统大地测量方法相比,持久散射体干涉合成孔径雷达(PS-InSAR)技术可提供更广的覆盖范围和更密集的地铁沿线测量。在本研究中,我们利用干涉点目标分析(IPTA)技术,利用先进合成孔径雷达(ASAR)和相控阵型L波段合成孔径雷达(PALSAR)数据绘制了广州地铁网络的表面变形图。结果表明,二号线、三号线、六号线和广佛线等新开挖隧道存在区域沉降,平均沉降率超过8毫米/年。此外,我们利用 Peck 公式和逻辑时间模型确定了三角洲地区 PALSAR 地铁的时空沉降行为。我们估计了软土地区与隧道开挖相关的参数,这些参数以前从未被探索过。作为示例,我们检查了 GF 线的一段,以估计地面沉降槽的发展情况。结果表明,2008年7月13日至2011年1月19日期间,最大沉降量从-5.2毫米增加到-23.6毫米,地面损失率在1.5%~8.7%之间。此外,我们发现GF线隧道在沉降峰值区经过约2300天后将趋于稳定。结果表明,所提出的方法可以帮助解释地铁沿线的动态地面沉降。该研究可为三角洲地区城市地铁工程、地铁沿线附近建筑物及地下管线的风险评估提供参考。
Subways have been an important method for relieving traffic pressures in urban areas, but ground subsidence, during construction and operation, can be a serious problem as it may affect the safety of its operation and that of the surrounding buildings. Thus, conducting long-term ground deformation monitoring and modeling for subway networks are essential. Compared with traditional geodetic methods, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique offers wider coverage and denser measurements along subway lines. In this study, we mapped the surface deformation of the Guangzhou subway network with Advanced Synthetic Aperture Radar (ASAR) and Phased Array Type L-band Synthetic Aperture Radar (PALSAR) data using the Interferometric Point Target Analysis (IPTA) technique. The results indicate that newly excavated tunnels have regional subsidence with an average rate of more than 8 mm/year, as found on Lines Two, Three, Six, and GuangFo (GF). Furthermore, we determined the spatio-temporal subsidence behavior of subways with PALSAR in delta areas using Peck’s formula and the logistic time model. We estimated the tunneling-related parameters in soft soil areas, which had not been previously explored. We examined a section of line GF, as an example, to estimate the ground settlement trough development. The results showed the maximum settlement increased from −5.2 mm to −23.6 mm and its ground loss ratio ranged from 1.5–8.7% between 13 July 2008 and 19 January 2011. In addition, we found that the tunnels in line GF will become stable after a period of about 2300 days in peak subsidence areas. The results show that the proposed approach can help explain the dynamic ground subsidence along a metro line. This study can provide references for urban subway projects in delta areas, and for the risk assessment of nearby buildings and underground pipelines along metro lines.
基于 InSAR 和变形建模的 3-D 表面位移估计
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发表时间: 2017
影响因子: 8.2
作者:
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通讯作者: Lu Zhong
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发表时间: 2002-11-01
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作者:
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DOI: 10.1109/36.898661
发表时间: 2001-01-01
影响因子: 8.2
作者:
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通讯作者: Rocca, F
DOI: 10.1109/lgrs.2016.2628867
发表时间: 2017
影响因子: 4.8
作者:
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通讯作者: Jicang Wu;Fengming Hu
使用高分辨率 P 波段单基线 PolInSAR 数据对森林地区进行基础地形估计
DOI: 10.3390/rs9040363
发表时间: 2017-04-01
期刊: REMOTE SENSING
影响因子: 5
作者:
Fu, Haiqiang;Zhu, Jianjun;Zhao, Rong
通讯作者: Zhao, Rong