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Detecting ground settlement of megacities using InSAR techniques.

机译：使用InSAR技术检测大城市的地面沉降。

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摘要

Subsidence phenomenon in Shanghai has been monitored by interferometric synthetic aperture radar (InSAR) techniques in this study. The research employed different InSAR techniques to study both the spatial and the temporal variations of the land subsidence phenomenon in Shanghai, using datasets acquired by four SAR systems---the L-band JERS-1 SAR system, the C-band ERS-1 and ERS-2 systems, and the C-band ENVISAT ASAR system.The behaviour of scatterers in Shanghai has been assessed with time by means of coherence analysis using L-band JERS-1 and C-band ERS-1/2 SAR data. Results obtained showed that InSAR pairs in Shanghai do not maintain coherence after a period of 7 months, and that the L-band JERS-1 SAR is more suitable than the C-band ERS-1/2 SAR for mapping land subsidence phenomenon in Shanghai that is characterised as slow. Residual phases from differential interferograms were successfully minimised using a higher order polynomial and the least squares method.Accumulative land subsidence maps have been produced for Shanghai at three different periods: 1992-1998, 1999-2000 and 2003-2007, using different SAR datasets. Results obtained showed that not all places in Shanghai are subsiding, but the city centre and its surroundings are under the threat of land subsidence. Quantitative measurements indicated that the downtown area subsided at a rate of 30 mm/year from 1992-1998 (L-band JERS-1 SAR data) 20 mm/year from 1999-2000 (C-band ERS-1/2 SAR data) and 10 mm/year from 2003-2007 (C-band ENVISAT ASAR data). Qualitative analysis of L-band JERS-1 differential interferograms has revealed three stages of land subsidence from 1992 to 1998. The urban areas in Shanghai have been successfully mapped by using interferometric coherence maps and point targets. Areas mapped as urban match those that were mapped as areas experiencing land subsidence. The later finding confirmed the assertion by some researchers (Gong et al., 2005 Xue et al., 2005 Zhang and Wei, 2005 Zhang et al., 2002) that massive engineering constructions and large number of high-rise buildings in Shanghai contribute to the land subsidence problem.Empirical models have been developed, both in time and spatial domains, for the prediction of the amount of land subsidence using 10 JERS-1 deformation maps. The models were developed using the method of least squares and higher order polynomials. Results obtained indicate that such an approach could be employed to predict the amount of land subsidence, in both spatial and time domains.The study was limited by the fact that some auxiliary data, such as location of wells or underground water pumping stations in the city, elevation data, number of construction units, and building loads, that could be useful for analyses and validation of results were not available. However, the main success of this study is that, it demonstrated the power of using InSAR techniques for ground surface deformation monitoring over large areas such as Shanghai.
机译：在这项研究中，已经通过干涉合成孔径雷达（InSAR）技术监测了上海的沉降现象。这项研究采用了四种不同的InSAR技术来研究上海地面沉降现象的时空变化，利用了四个SAR系统获得的数据集-L波段JERS-1 SAR系统，C波段ERS-1通过使用L波段JERS-1和C波段ERS-1 / 2 SAR数据进行相干分析，随时间评估了上海的散射体行为。所得结果表明，上海的InSAR对在7个月后仍未保持相干性，L波段JERS-1 SAR比C波段ERS-1 / 2 SAR更适合于绘制上海的地面沉降现象。这被称为慢。使用高阶多项式和最小二乘方法成功地最小化了微分干涉图的残留相位。使用不同的SAR数据，在上海三个不同时期（1992-1998、1999-2000和2003-2007）生成了累积的地面沉降图。获得的结果表明，并不是上海的所有地方都在沉降，但市中心及其周围地区正处于地面沉降的威胁之下。定量测量表明，从1992年至1998年（L波段JERS-1 SAR数据）市区每年以30毫米/年的速度消退，从1999年至2000年（C波段ERS-1 / 2 SAR数据）以每年20毫米的速度消退。从2003年至2007年每年10毫米（C波段ENVISAT ASAR数据）。对L波段JERS-1差分干涉图的定性分析揭示了1992年至1998年的地面沉降的三个阶段。通过使用干涉相干图和点目标，成功地绘制了上海市区的地图。映射为城市的区域与映射为经历土地沉降的区域匹配。后来的发现证实了一些研究者的断言（Gong等人，2005 Xue等人，2005 Zhang和Wei，2005 Zhang等人，2002），认为上海的大规模工程建设和大量高层建筑是造成这一现象的原因。已经开发了在时域和空间域上的经验模型，用于使用10个JERS-1变形图预测地面沉降量。使用最小二乘法和高阶多项式的方法来开发模型。获得的结果表明，该方法可用于在时域和时域范围内预测地面沉降量。该研究受到以下事实的限制：某些辅助数据，例如城市中的水井或地下水泵站的位置，高程数据，建筑单位数量和建筑荷载，这些数据可能无法用于分析和结果验证。但是，这项研究的主要成功之处在于，它证明了使用InSAR技术在大面积地区（例如上海）进行地表变形监测的强大功能。

著录项

  • 作者

    Damoah-Afari, Peter.;

  • 作者单位

    Hong Kong Polytechnic University (Hong Kong).;

  • 授予单位 Hong Kong Polytechnic University (Hong Kong).;
  • 学科 Geodesy.Remote Sensing.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 244 p.
  • 总页数 244
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:24

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