InSAR卫星对内城码头附近建筑物监测的可靠性

A. Venmans, Martin op de Kelder, J. D. De Jong, M. Korff, Martijn Houtepen
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引用次数: 8

摘要

摘要阿姆斯特丹目前面临着一项艰巨的任务,即评估并可能升级其历史悠久的运河沿岸的码头墙。在进行替换之前,阿姆斯特丹需要确定替换对附近建筑物的潜在影响。相邻建筑物的垂直变形率被用作潜在地基问题的指标。为了确定这一比率,目前的做法是通过至少两年的平整来监测建筑物。该研究表明,使用永久散射干涉合成孔径雷达(PS-InSAR)进行卫星测量可以将监测周期缩短到几个月。本文介绍了用于水准测量和卫星测量的统计程序,以验证其可靠性并确定建筑物的垂直变形率。该程序应用于三个案例研究。在两个案例研究中,InSAR测量中观察到的变形率与在找平中观察到的变形率非常吻合。本地优化的InSAR数据集包含2014-2019年期间的观测数据,为案例研究中的所有建筑物提供了几乎100%的可靠数据点覆盖率。在解释InSAR测量结果对建筑物易损性的影响方面,还需要获得更多的经验。此外,该程序可以扩展到包括非线性趋势的分析,如二阶趋势和季节效应。
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Reliability of InSAR satellite monitoring of buildings near inner city quay walls
Abstract. Amsterdam currently has a huge task of assessing and potentially upgrading its quay walls along the historic canals. Before replacement can take place, Amsterdam needs to determine the potential impact the replacement can have on the nearby buildings. The rate of vertical deformation of the adjacent buildings is used as indicator of potential foundation problems. To determine that rate, the current practice is to monitor the buildings by levelling for two years at least. This study shows that application of satellite measurements using Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) could reduce the monitoring period to a few months. The paper describes the statistical procedure that has been applied to levelling and satellite measurements to verify their reliability and determine the rate of vertical deformation of the buildings. The procedure was applied in three case studies. The rates of deformation observed in the InSAR measurements are in good agreement with the rates of deformation observed in the levelling in two of the case studies. The locally optimized InSAR data set with observations in the period 2014–2019 provides an almost 100 % coverage of reliable data points for all buildings in the case studies. More experience will need to be gained in the interpretation of InSAR measurements with respect to vulnerability of the buildings. Also, the procedure may be extended to include analysis of non-linear trends such as second order trends and seasonal effects.
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Proceedings of the International Association of Hydrological Sciences
Proceedings of the International Association of Hydrological Sciences Earth and Planetary Sciences-Earth and Planetary Sciences (all)
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