基于PS-InSAR的四川雅安市雨城区地面沉降特点及成因分析

doi:10.12196/j.issn.1000-3274.2024.04.013

地震 ›› 2024, Vol. 44 ›› Issue (4): 194-208.doi: 10.12196/j.issn.1000-3274.2024.04.013

基于PS-InSAR的四川雅安市雨城区地面沉降特点及成因分析

李桠楠¹, 窦爱霞¹, 郭红梅², 崔子昂³

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

收稿日期:2024-04-11 修回日期:2024-07-09 出版日期:2024-10-31 发布日期:2024-12-16
通讯作者: 窦爱霞, 研究员。 E-mail: axdothy@163.com
作者简介:李桠楠(1998-), 女, 山东威海人, 在读硕士研究生, 主要从事遥感与地震灾害风险评估研究。
基金资助:
中国地震局地震预测研究所基本科研业务费专项(CEAIEF20230202); 中国地震局地震预测研究所地震业务科技支撑项目(CEAIEF2022050504)

Using PS-InSAR Technology to Analyze the Characteristics and Causes of Urban Subsidence in Yucheng District Ya’an, Sichuan

LI Ya-nan¹, DOU Ai-xia¹, GUO Hong-mei², CUI Zi-ang³

1. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;
2. Sichuan Earthquake Administration, Chengdu 610004, China;
3. Shandong University of Science and Technology, Qingdao 266590, China

Received:2024-04-11 Revised:2024-07-09 Online:2024-10-31 Published:2024-12-16

摘要/Abstract

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。

关键词: PS-InSAR, 沉降监测, 雅安市雨城区, 成因机制

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 concurrent GNSS observation data. By combining geological structures, precipitation, underground 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 maximum 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 subsidence; taking the 2019 precipitation and ground subsidence study as an example, the minimum subsidence in summer, which reached -0.14 mm.

Key words: PS-InSAR, Subsidence monitoring, Yucheng District Ya’an, Causal mechanisms

中图分类号:

P315.7

李桠楠, 窦爱霞, 郭红梅, 崔子昂. 基于PS-InSAR的四川雅安市雨城区地面沉降特点及成因分析[J]. 地震, 2024, 44(4): 194-208.

LI Ya-nan, DOU Ai-xia, GUO Hong-mei, CUI Zi-ang. Using PS-InSAR Technology to Analyze the Characteristics and Causes of Urban Subsidence in Yucheng District Ya’an, Sichuan[J]. EARTHQUAKE, 2024, 44(4): 194-208.

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基于PS-InSAR的四川雅安市雨城区地面沉降特点及成因分析

Using PS-InSAR Technology to Analyze the Characteristics and Causes of Urban Subsidence in Yucheng District Ya’an, Sichuan

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