Monitoring and Cause Analysis of Land Subsidence along the Yangtze River Utilizing Time-Series InSAR

Author:

Chen Yuanyuan1,Guo Lin2ORCID,Xu Jia3ORCID,Yang Qiang1,Wang Hao1,Zhu Chenwei1

Affiliation:

1. College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China

2. Key Laboratory of Mechanism, Prevention and Mitigation of Land Subsidence, Ministry of Education, Capital Normal University, Beijing 100048, China

3. School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China

Abstract

Time-series monitoring of the land subsidence in the Yangtze River coastal area is crucial for maintaining river stability and early warning of disasters. This study employed PS-InSAR and SBAS-InSAR techniques to monitor the land subsidence along the Yangtze River in Nanjing, using a total of 42 Sentinel-1A images obtained between April 2015 and November 2021. The accuracy of both methods was compared and validated, while a comprehensive analysis was conducted to ascertain the spatial distribution characteristics and underlying causes of land subsidence. The maximum deviation between the two methods and six leveling point data did not exceed ±5 mm. Within the 5 km buffer zone on either side of the Yangtze River in Nanjing, four subsidence funnels were identified. Analysis of the factors contributing to land subsidence in this area indicates that underground engineering construction and operation, increasing ground building area, and geological condition all have certain correlations to the land subsidence. The results obtained through PS-InSAR and SBAS-InSAR technologies revealed a high degree of consistency in monitoring outcomes, and the latter method exhibited superior monitoring accuracy than the former one in this area. This study holds significant implications for guiding the scientific management of urban geohazards along the Yangtze River.

Funder

National Natural Science Foundation of China

Jiangsu Water Conservancy Science and Technology Project

Key Laboratory of Land satellite Remote sensing Application, Ministry of Natural Resources of the People’s Republic of China

Publisher

MDPI AG

Reference33 articles.

1. Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS;Na;Geomat. Nat. Hazards Risk,2021

2. Land subsidence: A global challenge;Hosseini;Sci. Total Environ.,2021

3. Ground subsidence monitoring in Hong Kong with satellite SAR interferometry;Ding;Photogramm. Eng. Remote Sens.,2004

4. Monitoring crustal movements in west Anatolia by precision leveling;J. Surv. Eng.,2003

5. Comparison of height differences obtained by trigonometric and spirit leveling method;Geonauka,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3