Spatial and temporal characteristics analysis for land subsidence in Shanghai coastal reclamation area using PS-InSAR method

doi:10.3389/fmars.2022.1000523

	Spatial and temporal characteristics analysis for land subsidence in Shanghai coastal reclamation area using PS-InSAR method
	Li, Dong 1,2,3,4; Li, Bin 2; Zhang, Yuxin 1,3,4; Fan, Chao 1,3,4,5; Xu, He 1,3,4,5; Hou, Xiyong1,3,4
发表期刊	FRONTIERS IN MARINE SCIENCE
	2022-10-10
卷号	9 页码:16
关键词	land subsidence reclamation area Shanghai PS-InSAR sustainability
DOI	10.3389/fmars.2022.1000523
通讯作者	Hou, Xiyong(xyhou@yic.ac.cn)
英文摘要	In recent decades, large-scale reclamation projects have been performed in the intertidal flat area of Shanghai, China. Due to the self-weight consolidation of the foundation and dynamic load caused by human activities, the newly reclamation area will sink within a period of time after the land is formed. Therefore, it is necessary to carry out surface deformation monitoring for taking preventive measures in advance. In this research, the PS-InSAR technology, mostly used for urban subsidence monitoring, was applied to obtain the ground deformation information of Shanghai coastal area based on ENVISAT/ASAR (2007.07-2010.02) and Sentinel-1A (2017.07-2020.02) datasets. The results showed that: 1) Compared with ASAR data, the Sentinel-1A data could distinguish more coherent points and get more comprehensive deformation distribution characteristics. 2) Most high-coherent points were detected in artificial objects, especially airport runways, buildings, roads and seawalls. 3) There was obvious uneven land subsidence in the study area during the two monitoring periods, the PS points with high subsidence rates (<-20 mm/a) mainly distributed around Dishui Lake and artificial seawalls. 4) The ground subsidence velocity of the newly formed land gradually slowed down over times, with the average subsidence rate decreased from -10.45 mm/a to -4.94 mm/a. Our study proved that remote sensing monitoring for ground subsidence in reclaimed land could be realized based on PS-InSAR technology, which could provide the spatial distribution characteristics of subsidence in large-scale and long-term series and help the sustainable development of coastal engineering construction.
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Research Funds of Beijing VMinFull Limited ; Shandong Provincial Natural Science Foundation
收录类别	SCI
语种	英语
关键词[WOS]	GROUND DEFORMATION
研究领域[WOS]	Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS记录号	WOS:000874637600001
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/31967
专题	中国科学院海岸带环境过程与生态修复重点实验室中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者	Hou, Xiyong
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China 2.Beijing VMinFull Ltd, Beijing, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China 4.Shandong Key Lab Coastal Environm Proc, Yantai, Peoples R China 5.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Dong,Li, Bin,Zhang, Yuxin,et al. Spatial and temporal characteristics analysis for land subsidence in Shanghai coastal reclamation area using PS-InSAR method[J]. FRONTIERS IN MARINE SCIENCE,2022,9:16.
APA	Li, Dong,Li, Bin,Zhang, Yuxin,Fan, Chao,Xu, He,&Hou, Xiyong.(2022).Spatial and temporal characteristics analysis for land subsidence in Shanghai coastal reclamation area using PS-InSAR method.FRONTIERS IN MARINE SCIENCE,9,16.
MLA	Li, Dong,et al."Spatial and temporal characteristics analysis for land subsidence in Shanghai coastal reclamation area using PS-InSAR method".FRONTIERS IN MARINE SCIENCE 9(2022):16.