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基于小基线集干涉测量的天津地区地表沉降时空分析
引用本文:朱子林,任超,周吕,施显健,李现广.基于小基线集干涉测量的天津地区地表沉降时空分析[J].科学技术与工程,2020,20(18):7152-7158.
作者姓名:朱子林  任超  周吕  施显健  李现广
作者单位:桂林理工大学测绘地理信息学院, 桂林 541004;桂林理工大学测绘地理信息学院, 桂林 541004;广西空间信息与测绘重点实验室, 桂林541004;桂林理工大学测绘地理信息学院, 桂林 541004;武汉大学地球空间环境与大地测量教育部重点实验室, 武汉 430079;城市空间信息工程北京市重点实验室, 北京 100038
基金项目:武汉大学地球空间环境与大地测量教育部重点实验室开放基金;城市空间信息工程北京市重点实验室经费资助项目;国家自然科学基金;广西自然科学基金;广西壮族自治区高等学校项目;武汉市科技计划
摘    要:基于覆盖天津地区2017—2019年的30景Sentinel-1A影像数据,采用小基线集合成孔径雷达干涉测量(small baseline subset interferometric synthetic aperture radar,SBAS-InSAR)方法对研究区域进行地表沉降监测,获取了天津地区的年平均沉降速率和累积沉降,并与水准数据进行比对,最后分析了该地区的沉降时空特征。结果表明:2017—2019年大部分区域地表形变速率为-15.8~4.1 mm/a,最大沉降速率超过-130 mm/a,最大沉降中心位于天津市西青区王庆坨镇;基于SBAS-InSAR获取的沉降结果与水准测量结果比对,其精度达到2.96 mm;地表沉降受地下水开采、城市基础建设的发展以及工业用地量、人为活动等方面因素影响明显。

关 键 词:地表沉降  小基线集合成孔径雷达干涉测量  天津地区  时空分析
收稿时间:2019/9/26 0:00:00
修稿时间:2020/5/4 0:00:00

Spatial-Temporal Analysis of Surface Subsidence in Tianjin Area Based on SBAS-InSAR
zhuzilin.Spatial-Temporal Analysis of Surface Subsidence in Tianjin Area Based on SBAS-InSAR[J].Science Technology and Engineering,2020,20(18):7152-7158.
Authors:zhuzilin
Institution:College of Geomatics and Geoinformation, Guilin University of Technology
Abstract:In this paper, based on 36 scenes of Sentinel-1A image data covering the Tianjin area from 2017 to 2019,we used SBAS-InSAR method to study land subsidence monitoring area and achieve the annual average settlement rate and cumulative settlement Tianjin area. The SBAS-InSAR derived results were compared with leveling data. Finally, the spatial-temporal characteristics of subsidence in the region was analyzed. The results show that most of the regional surface deformation rate is in the range of -15 to 13 mm / a from 2017 to 2019,and the maximum subsidence rate of more than -130 mm/a,the largest settlement center is located in the town of wang qingtuo, xiqing district, Tianjin; the settlement results obtained based on SBAS-InSAR are compared with the level measurement results, and the accuracy reaches 2.96 mm; surface subsidence is obviously affected by factors such as groundwater exploitation, urban infrastructure development, industrial land use, and human activities.
Keywords:land subsidence    SBAS-InSAR    Tianjin area    spatial-temporal analysis
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