Using PS-InSAR Technology to Analyze the Characteristics and Causes of Urban Subsidence in Yucheng District Ya'an,Sichuan
李桠楠 1窦爱霞 1郭红梅 2崔子昂3
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作者信息
1. 中国地震局地震预测研究所,北京 100036
2. 四川省地震局,四川成都 610004
3. 山东科技大学测绘与空间信息学院,山东青岛 266590
折叠
摘要
为明确雅安市雨城区地面形变时序变化特征及其成因,本文基于2019年1月至2021年12月36景Sentinel-1A卫星数据,采用PS-InSAR技术开展雅安市雨城区地面形变监测,利用同期GNSS观测数据进行精度评定,并结合地质构造、降水量、地下资源开采、地震活动等因素,分析了研究区形变特征及成因机制.研究结果表明,PS-InSAR监测结果与GNSS监测结果均方根误差RMSE为3.97 mm,研究区内平均形变速率在-28.00～30.12 mm/a,受地质构造控制的影响,断层两侧沉降速率具有明显差异,沉降速率差值最大可达25.68 mm/a.在同一构造控制情况下,沉降速率与人类活动有一定对应关系,矿产资源开采、工程施工、交通运输以及密集高层建筑物均会加速地面沉降,降雨引起的地下水水位季节性变化对地面沉降有季节性的影响,以2019年降水量与沉降量研究为例,显示夏季沉降量最小达-0.14 mm.
Abstract
To clarify the temporal changes in ground deformation and their causes in the Yucheng District of Ya'an City,this study used 36 scenes of Sentinel-1A satellite data from January 2019 to December 2021 and applied PS-InSAR technology to monitor ground deformation in the Yucheng District of Ya'an City.The accuracy was evaluated using con-current GNSS observation data.By combining geological structures,precipitation,under-ground resource extraction,seismic activities,and other factors,the characteristics and mechanisms of deformation in the study area were analyzed.The results showed that the root mean square error(RMSE)between the PS-InSAR monitoring results and the GNSS monitoring results was 3.97 mm.The average deformation rate in the study area ranged from-28.00 to 30.12 mm/a.Under the influence of geological structures,there were significant differences in subsidence rates on both sides of the fault zones,with the maxi-mum difference reaching 25.68 mm/a.Under the same structural control,subsidence rates had a certain relationship with human activities,mineral resource extraction,construction projects,transportation,and dense high-rise buildings all accelerated ground subsidence.Seasonal changes in groundwater levels due to rainfall had seasonal effects on ground sub-sidence;taking the 2019 precipitation and ground subsidence study as an example,the minimum subsidence in summer,which reached-0.14 mm.
关键词
PS-InSAR/沉降监测/雅安市雨城区/成因机制
Key words
PS-InSAR/Subsidence monitoring/Yucheng District Ya'an/Causal mecha-nisms
维普
万方数据