IOCAS-IR  > 海洋地质与环境重点实验室
Multi-Source SAR-Based Surface Deformation Monitoring and Groundwater Relationship Analysis in the Yellow River Delta, China
Liu, Yilin1,2,3; Zhang, Yi4; Zhao, Faqiang1,3; Ding, Renwei1; Zhao, Lihong1; Niu, Yufen5; Qu, Feifei6; Ling, Zilong1
2023-07-01
发表期刊REMOTE SENSING
卷号15期号:13页码:27
通讯作者Ling, Zilong(lingzilong@sdust.edu.cn)
摘要Land motions are significantly widespread in the Yellow River delta (YRD). There is, however, a lack of understanding of the delta-wide comprehensive deformation mode and its dynamic mechanism, especially triggered by groundwater extraction. This paper adopts an integrated analysis of multidisciplinary data of image geodesy, geophysics, geology and hydrogeology to provide insights into Earth surface displacement patterns and dynamics in the YRD. Delta-scale land motions were measured for the first time using L-band ALOS images processed using multi-temporal InSAR, illustrating multiple obvious surface sinking regions and a maximum annual subsidence velocity of up to 130 mm. Then, the InSAR-constrained distributed point source model with optimal kernel parameters, a smoothness factor of 10 and a model grid size of 300 m was established and confirmed to be rational, reliable and accurate for modeling analysis over the YRD. Remarkable horizontal surface displacements, moving towards and converging on a sinking center, were recovered by means of modeling and measured using InSAR, with a maximum rate of up to 60 mm per year, which can trigger significant disasters, such as ground fissures and building damage. In addition, the annual total water storage variation at the delta scale, the most meaningful outcome, can be calculated and reaches a total of approximately 12,010 x 10(3) m(3) in Guangrao city, efficiently filling the gap of GRACE and in situ investigations for delta-wide aquifer monitoring. Finally, a comparative analysis of time series InSAR measurements, modeling outcomes, and fault and groundwater data was conducted, and the strong agreement demonstrates that faults control aquifer distribution and hence the spatial distribution of groundwater-withdrawal-related regional land subsidence. Moreover, the obvious asymmetric displacements, demonstrating a northeasterly displacement trend, further reveal that faults control aquifer distribution and Earth surface deformation. These findings are useful for understanding the land motion patterns and dynamics, helping to sustainably manage groundwater and control disasters in the YRD and elsewhere worldwide.
关键词land motion multi-temporal InSAR distributed point source model horizontal displacement groundwater fault the Yellow River delta
DOI10.3390/rs15133290
收录类别SCI
语种英语
资助项目Open Fund of the Key Laboratory of Marine Geology and Environment, Chinese Academy of Sciences[MGE2022KG1] ; Major Research Plan on West-Pacific Earth System Multispheric Interactions[92058213] ; National Natural Science Foundation of China[41706092] ; National Natural Science Foundation of China[41676039] ; National Natural Science Foundation of China[41930535] ; National Natural Science Foundation of China[42006148] ; Shandong Provincial Natural Science Foundation[ZR2022QD087]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:001030906000001
出版者MDPI
WOS关键词INSAR TIME-SERIES ; BOHAI BAY BASIN ; LAND SUBSIDENCE ; DEPLETION ; SEDIMENT
引用统计
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/182566
专题海洋地质与环境重点实验室
通讯作者Ling, Zilong
作者单位1.Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
3.Shandong Inst Geophys & Geochem Explorat, Jinan 250013, Peoples R China
4.Shandong Univ Sci & Technol, Coll Ocean Sci & Engn, Qingdao 266590, Peoples R China
5.Hebei Univ Engn, Sch Min & Geomatic Engn, Handan 056038, Peoples R China
6.Southern Methodist Univ, Dept Earth Sci, Dallas, TX 75025 USA
第一作者单位中国科学院海洋研究所
推荐引用方式
GB/T 7714
Liu, Yilin,Zhang, Yi,Zhao, Faqiang,et al. Multi-Source SAR-Based Surface Deformation Monitoring and Groundwater Relationship Analysis in the Yellow River Delta, China[J]. REMOTE SENSING,2023,15(13):27.
APA Liu, Yilin.,Zhang, Yi.,Zhao, Faqiang.,Ding, Renwei.,Zhao, Lihong.,...&Ling, Zilong.(2023).Multi-Source SAR-Based Surface Deformation Monitoring and Groundwater Relationship Analysis in the Yellow River Delta, China.REMOTE SENSING,15(13),27.
MLA Liu, Yilin,et al."Multi-Source SAR-Based Surface Deformation Monitoring and Groundwater Relationship Analysis in the Yellow River Delta, China".REMOTE SENSING 15.13(2023):27.
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