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利用时间序列干涉合成孔径雷达测量中国厦门的地表形变

Surface Deformation of Xiamen, China Measured by Time-Series InSAR.

作者信息

He Yuanrong, Qian Zhiheng, Chen Bingning, Yang Weijie, Hao Panlin

机构信息

Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China.

Hunan Key Laboratory of Remote Sensing Monitoring of Ecological Environment in Dongting Lake Area, Changsha 410004, China.

出版信息

Sensors (Basel). 2024 Aug 17;24(16):5329. doi: 10.3390/s24165329.

Abstract

Due to its unique geographical location and rapid urbanization, Xiamen is particularly susceptible to geological disasters. This study employs 80 Sentinel-1A SAR images covering Xiamen spanning from May 2017 to December 2023 for comprehensive dynamic monitoring of the land subsidence. PS-InSAR and SBAS-InSAR techniques were utilized to derive the surface deformation field and time series separately, followed by a comparative analysis of their results. SBAS-InSAR was finally chosen in this study for its higher coherence. Based on its results, we conducted cause analysis and obtained the following findings. (1) The most substantial subsidence occurred in Maluan Bay and Dadeng Island, where the maximum subsidence rate was 24 mm/yr and the maximum cumulative subsidence reached 250 mm over the course of the study. Additionally, regions exhibiting subsidence rates ranging from 10 to 30 mm/yr included Yuanhai Terminal, Maluan Bay, Xitang, Guanxun, Jiuxi entrance, Yangtang, the southeastern part of Dadeng Island, and Yundang Lake. (2) Geological structure, groundwater extraction, reclamation and engineering construction all have impacts on land subsidence. The land subsidence of fault belts and seismic focus areas was significant, and the area above the clay layer settled significantly. Both direct and indirect analysis can prove that as the amount of groundwater extraction increases, the amount of land subsidence increases. Significant subsidence is prone to occur after the initial land reclamation, during the consolidation period of the old fill materials, and after land compaction. The construction changes the soil structure, and the appearance of new buildings increases the risk of subsidence.

摘要

由于其独特的地理位置和快速的城市化进程,厦门特别容易遭受地质灾害。本研究采用了80幅覆盖厦门的哨兵-1A合成孔径雷达(SAR)图像,时间跨度从2017年5月至2023年12月,用于对地面沉降进行全面动态监测。利用永久散射体干涉合成孔径雷达(PS-InSAR)和小基线集合成孔径雷达干涉测量(SBAS-InSAR)技术分别获取地表形变场和时间序列,随后对其结果进行对比分析。本研究最终选择SBAS-InSAR是因其具有更高的相干性。基于其结果,我们进行了成因分析并得到以下发现。(1)最大沉降发生在马銮湾和大嶝岛,最大沉降速率为24毫米/年,在研究期间最大累积沉降达到250毫米。此外,沉降速率在10至30毫米/年之间的区域包括远海码头、马銮湾、西塘、官浔、九溪入口、洋塘、大嶝岛东南部和筼筜湖。(2)地质构造、地下水开采、围垦和工程建设均对地面沉降有影响。断裂带和地震震源区的地面沉降显著,黏土层以上区域沉降明显。直接和间接分析均能证明,随着地下水开采量增加,地面沉降量增大。初次围垦后、旧填充材料固结期以及土地压实后容易发生显著沉降。工程建设改变了土壤结构,新建筑物的出现增加了沉降风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7aa/11360397/ed7774cf48b4/sensors-24-05329-g001.jpg

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