Li, Dong1,2,3; Hou, Xiyong1,2,3
; Song, Yang1; Zhang, Yuxin1,2,3,4; Wang, Chao5发表期刊APPLIED SCIENCES-BASEL
2020-08-01
卷号10期号:16页码:21
关键词ground subsidencePS-InSARSBAS-InSARSentinel-1ATianjin
DOI10.3390/app10165514
通讯作者Hou, Xiyong(xyhou@yic.ac.cn)
英文摘要Multi-temporal InSAR (MT-InSAR) methods have been widely used in remote sensing monitoring of ground subsidence, which occurs at many places around the world. Land subsidence, caused by excessive extraction of groundwater, has always been a problem to be solved in Tianjin, China. Although the subsidence in the urban area has been controlled at a low rate, the subsidence issue has not been effectively solved in the suburban area recently, which should be paid much attention. This paper aims to present two multi-temporal differential interferometry techniques, persistent scatterer (PS) and small baseline subset (SBAS), for monitoring the latest surface subsidence in a Tianjin study area on the basis of 20 Sentinel-1A images obtained from March 2017 to March 2019. Our research showed that the average velocity map obtained from the SBAS method closely followed the outcomes of the PS technique from the perspective of identifying similar subsidence patterns. Subsidence rate gradually increased from the urban area of Tianjin to the suburbs and high subsidence zones were mainly distributed at the junction of the Wuqing, Xiqing and Beichen districts. In the past two years, the annual average subsidence rate in the high settlement area mostly exceeded -50 mm/year, which caused serious damage to local infrastructures. Besides, high-resolution remote sensing images combined with field investigations further verified the successful application of MT-InSAR technology in Tianjin's subsidence monitoring. Effective ground subsidence control measures need to be taken as soon as possible to prevent the situation from getting worse.
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences; China Postdoctoral Science Foundation; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS
收录类别SCI
语种英语
关键词[WOS]LAND SUBSIDENCE; SURFACE DEFORMATION; SAR INTERFEROMETRY; SCATTERERS; ALGORITHM; PLATEAU
研究领域[WOS]Chemistry; Engineering; Materials Science; Physics
WOS记录号WOS:000568608000001
引用统计
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/28366
专题中科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
中科院海岸带环境过程与生态修复重点实验室
通讯作者Hou, Xiyong作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264000, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264000, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Mega Sci, 7 Nanhai Rd, Qingdao 266000, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100000, Peoples R China
5.Shandong Normal Univ, Coll Geog & Environm, Jinan 250000, Peoples R China
推荐引用方式
GB/T 7714Li, Dong,Hou, Xiyong,Song, Yang,et al. Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods[J]. APPLIED SCIENCES-BASEL,2020,10(16):21.
APALi, Dong,Hou, Xiyong,Song, Yang,Zhang, Yuxin,&Wang, Chao.(2020).Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods.APPLIED SCIENCES-BASEL,10(16),21.
MLALi, Dong,et al."Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods".APPLIED SCIENCES-BASEL 10.16(2020):21.
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