夏锦, 张鹏, 郑晓慧, 王其合, 边云云, 朱辉. 2021: 宿州西水源地地面沉降不同时序InSAR监测对比分析. 工程地质学报, 29(S1): 106-116. DOI: 10.13544/j.cnki.jeg.2021-0345
    引用本文: 夏锦, 张鹏, 郑晓慧, 王其合, 边云云, 朱辉. 2021: 宿州西水源地地面沉降不同时序InSAR监测对比分析. 工程地质学报, 29(S1): 106-116. DOI: 10.13544/j.cnki.jeg.2021-0345
    XIA Jin, ZHANG Peng, ZHENG Xiaohui, WANG Qihe, BIAN Yunyun, ZHU Hui. 2021: COMPARATIVE ANALYSIS OF DIFFERENT INSAR TIME SERIES MONI-TORING OF GROUND SUBSIDENCE IN SUZHOU WEST WATER SOURCE. JOURNAL OF ENGINEERING GEOLOGY, 29(S1): 106-116. DOI: 10.13544/j.cnki.jeg.2021-0345
    Citation: XIA Jin, ZHANG Peng, ZHENG Xiaohui, WANG Qihe, BIAN Yunyun, ZHU Hui. 2021: COMPARATIVE ANALYSIS OF DIFFERENT INSAR TIME SERIES MONI-TORING OF GROUND SUBSIDENCE IN SUZHOU WEST WATER SOURCE. JOURNAL OF ENGINEERING GEOLOGY, 29(S1): 106-116. DOI: 10.13544/j.cnki.jeg.2021-0345

    宿州西水源地地面沉降不同时序InSAR监测对比分析

    COMPARATIVE ANALYSIS OF DIFFERENT INSAR TIME SERIES MONI-TORING OF GROUND SUBSIDENCE IN SUZHOU WEST WATER SOURCE

    • 摘要: PS-InSAR和SBAS-InSAR技术被广泛应用于地面沉降监测。由于技术原理的不同,两种技术的监测精度会受到地物散射特性的影响。目前缺少针对两种技术监测精度在复杂地物散射特征区的差异性的相关研究。本文针对宿州西水源地水位降落漏斗所引发的区域地面沉降,分别采用PS-InSAR和SBAS-InSAR技术,利用2017~2020年38景Sentinel-1A数据,对宿州西水源地110眼水井为中心的周边20×20 km2范围内的地面进行沉降监测,以宿州市区光纤监测孔SK01实测数据来校正时序InSAR监测结果并将两种技术得到的监测结果进行对比。选取15号、48号、98号水井附近以及研究区内城市郊区与城市中心区特征点进行时序分析并在建筑密集区域进行精度分析。结果表明:研究区内两种技术的监测结果具有一致性和相关性。但是,在快速沉降区域,SBAS-InSAR技术解算鲁棒性更强,监测到了水源地西侧沉降漏斗的中心区域。在城市郊区地物散射弱区,两种技术监测结果的数值偏差较大。在城市中心区地物散射强区PS-InSAR可以从更小尺度反映建筑结构与周围环境的沉降差异。相比之下,PS-InSAR更适合于研究城市中心区建筑结构与周围环境的沉降差异,SBAS-InSAR更适合于研究城市郊区分辨率较低的大规模变形趋势。

       

      Abstract: PS-InSAR and SBAS-InSAR technologies are widely used in land subsidence monitoring. Due to the different technical principles, the monitoring accuracy of the two technologies is affected by the scattering characteristics of ground objects. In order to study the difference of the monitoring accuracy of the two technologies in the area of complex ground object scattering characteristics, this paper used PS-InSAR and SBAS-InSAR technologies to monitor the ground subsidence in the surrounding area of 20×20km2 centered on 110 wells in the west water source of Suzhou. We used the measured data of the fiber optic monitoring hole SK01 in downtown Suzhou to correct the results of time-series InSAR monitoring. To compare the settlement results obtained by the two technologies, we selected the vicinity of No. 15, No. 48, and No. 98 wells and characteristic points in the suburbs and central areas of the city for time series analysis and perform accuracy analysis in the densely built area. The results show that the monitoring results of the two technologies in the study area are consistent and correlated, and the linear correlation coefficient R of the settlement rate of the high-coherence point with the same coordinates reaches more than 0.96. However, in the rapid settlement area, the SBAS-InSAR technology is more robust in solving, and the settlement rate of the central area of the settlement funnel on the west side of the water source is monitored to be between -43.2 and -30.0mm ·a-1. In areas with weak ground scattering in the suburbs, the numerical deviations of the monitoring results of the two technologies are relatively large, and the deviation of the annual average settlement rate reaches 5.7mm ·a-1, which is about 2 to 3 times that of other areas. In areas with strong ground scattering in the central areas, PS-InSAR can reflect the settlement difference between the building structure and the surrounding environment from a smaller scale.

       

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