| 基于PS-InSAR技术的南宁地表沉降监测与分析 |
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| 引用本文： | 代志宏,卢鹏,张志芳,汪晓龙,许国,董建明.基于PS-InSAR技术的南宁地表沉降监测与分析[J].大地测量与地球动力学,2021,41(5):491-496. |
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| 作者姓名： | 代志宏 卢鹏 张志芳 汪晓龙 许国 董建明 |
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| 作者单位： | 广西财经学院管理科学与工程学院,南宁市明秀西路100号,530022;南宁市勘察测绘地理信息院有限公司,南宁市茶花园路31-1号,530022 |
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| 摘 要： | 采用PS-InSAR技术处理44景COSMO-SkyMed卫星影像，获取南宁市建成区2013~2016年地表沉降形变信息；选取典型沉降突变区域进行实地调查，分析地表变形特征及原因，验证PS-InSAR技术监测结果的准确性。结果表明，研究区年平均形变速率范围为-7~5 mm/a；沉降突变点大多分布在青秀区、西乡塘区及兴宁区的绕城高速以内，其中青秀区新竹路与思贤路交叉区域、民族大道高速出入口区域地面沉降明显，平均形变速率超过-9 mm/a；结合工程建设资料、光学历史影像进行实地调查，结果与PS-InSAR监测数据反映的问题吻合较好。该研究可为地质灾害预测和防治工作提供新思路。
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| 关 键 词： | 城市地表沉降监测 PS-InSAR 地质灾害隐患筛查 形变分析 |
Surface Subsidence Monitoring and Analysis of Nanning Based on PS-InSAR Technology |
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| DAI Zhihong,LU Peng,ZHANG Zhifang,WANG Xiaolong,XU Guo,DONG Jianming.Surface Subsidence Monitoring and Analysis of Nanning Based on PS-InSAR Technology[J].Journal of Geodesy and Geodynamics,2021,41(5):491-496. |
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| Authors: | DAI Zhihong LU Peng ZHANG Zhifang WANG Xiaolong XU Guo DONG Jianming |
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| Abstract: | Based on 44 COSMO-SkyMed satellite image data, the deformation information in the built-up
area of Nanning from 2013 to 2016 is acquired by PS-InSAR technology. To verify the accuracy of PS-InSAR monitoring, we makes a field survey and detailed analysis of the deformation characteristics and reasons in view of the representative mutation areas. The results are as follows: The deformation rate in the study area is between -7－5 mm/a. The mutation points are mostly located in the area within the Nanning ring expressway, especially Qingxiu, Xixiangtang and Xingning districts. Among them, the land subsidence is obvious in the intersection area of Xinzhu road and Sixian road in Qingxiu district and the entrance and exit area of Minzu avenue, with a settlement rate of over -9 mm/a. Combining the engineering construction data and optical historical images, the results of the field investigation are in agreement with the problems reflected by the PS-InSAR monitoring data. The purpose of this paper is to provide new ideas for the government to forecast and prevent land subsidence disasters. |
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| Keywords: | urban surface subsidence monitoring PS-InSAR potential geohazard investigation deformation analysis |
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