Land Subsidence in the Yangtze River Delta, China Explored Using InSAR Technique From 2019 to 2021

IF 5.3 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-01-10 DOI:10.1109/JSTARS.2025.3527748
Hongbo Jiang;Guangcai Feng;Yuexin Wang;Zhiqiang Xiong;Hesheng Chen;Ning Li;Zeng Lin
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Abstract

The combined effects of global warming and human activities have intensified land subsidence (LS), limiting the sustainable development of economy in delta regions. Despite the potential of interferometric synthetic aperture radar (InSAR) for monitoring LS, its application across vast delta regions may be hindered by complex data processing, high computational demands, and the need for standardized results. To overcome these challenges, we adopted the multitemporal InSAR technique, integrating a frame data parallel processing strategy and an overall adjustment correction method, to obtain the temporal deformation sequences of the entire Yangtze River Delta (YRD) region in China from January 2019 to December 2021. We calculated the annual average deformation rate and identified deformation areas, with 73.5% concentrated along the Yangtze River, along the coastline, and within the northern Anhui mining area. A significant correlation was observed between LS and anthropogenic activities, such as economic development and land reclamation activities. Further analysis reveals that the increase in GDP growth rate may contribute to LS. Approximately, 38% of the reclaimed area in the YRD is at risk of LS. Land reclamation activities present a dichotomy, with Hangzhou Bay as the dividing line. This study provides a new perspective and scientific basis for understanding and analyzing LS in deltaic environments, contributing to sustainable development and advancing wide-area InSAR deformation monitoring.
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2019 - 2021年InSAR技术在长江三角洲地表沉降研究中的应用
全球变暖和人类活动的共同作用加剧了三角洲地区的地面沉降,限制了三角洲地区经济的可持续发展。尽管干涉合成孔径雷达(InSAR)具有监测LS的潜力,但其在广大三角洲地区的应用可能受到复杂数据处理、高计算需求和对标准化结果的需求的阻碍。为了克服这些挑战,我们采用多时段InSAR技术,结合帧数据并行处理策略和整体平差校正方法,获得了2019年1月至2021年12月中国长三角地区的时间变形序列。计算了年平均变形率,确定了73.5%的变形区,主要集中在长江、沿海和皖北矿区。LS与人类活动(如经济发展和土地开垦活动)呈显著相关。进一步分析表明,GDP增长率的提高可能对LS有所贡献。长三角区内约有38%的填海面积有被填海的风险。土地开垦活动呈现出以杭州湾为分界线的两分法。该研究为认识和分析三角洲环境下的地表形变提供了新的视角和科学依据,有助于可持续发展和推进广域InSAR变形监测。
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来源期刊
CiteScore
9.30
自引率
10.90%
发文量
563
审稿时长
4.7 months
期刊介绍: The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.
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