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基于SBAS-InSAR的赣州市地面沉降监测及影响因素分析

姜文涛 董少春 彭正泉 孙建昊 李厚禹

高校地质学报2026,Vol.32Issue(4):577-589,13.
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高校地质学报2026,Vol.32Issue(4):577-589,13.DOI:10.16108/j.issn1006-7493.2025045

基于SBAS-InSAR的赣州市地面沉降监测及影响因素分析

Ground Subsidence Monitoring and Analysis of Influencing Factors in Ganzhou City Based on SBAS-InSAR

姜文涛 1董少春 1彭正泉 2孙建昊 1李厚禹1

作者信息

  • 1. 南京大学 地球科学与工程学院,南京 210023
  • 2. 江西省地质局第七地质大队,赣州 341400
  • 折叠

摘要

Abstract

Urban ground subsidence can lead to building cracks and tilting,damage to underground infrastructure,and secondary disasters,posing a serious threat to the sustainable development of cities.Therefore,accurately understanding the spatiotemporal evolution characteristics of ground subsidence and identifying its dominant driving mechanisms are of great significance for developing effective monitoring strategies and mitigation measures.This study utilized the Small Baseline Subset Interferometric Synthetic Aperture Radar(SBAS-InSAR)technique and analyzed 154 scenes of Sentinel-1A satellite imagery from January 2020 to March 2025 to obtain the spatiotemporal distribution characteristics of ground subsidence in the central urban area of Ganzhou City.The results show that 80%of the study area has subsidence rates between-2 and 2 mm/y;localized areas exhibit significant subsidence,primarily concentrated in Ganzhou County,with the highest annual average subsidence rate reaching-26.4 mm/y.Some subsidence centers exhibit distinct seasonal fluctuations,primarily influenced by variations in precipitation infiltration recharge and the intensity of groundwater extraction.Additionally,human activities such as the perturbation of the new construction loads and river sediment deposition also triggered significant ground subsidence in localized areas.This study contributes to understanding the spatiotemporal evolution characteristics of ground subsidence in Ganzhou City,further optimizes urban ground subsidence monitoring methods,and provides scientific support for enhancing the city's geological hazard risk management capabilities.

关键词

SBAS-InSAR/地面沉降/时间序列分析/赣州市

Key words

SBAS-InSAR/land subsidence/time series analysis/Ganzhou City

分类

天文与地球科学

引用本文复制引用

姜文涛,董少春,彭正泉,孙建昊,李厚禹..基于SBAS-InSAR的赣州市地面沉降监测及影响因素分析[J].高校地质学报,2026,32(4):577-589,13.

基金项目

赣州市章贡区地面沉降综合监测项目(江西省地质局资助,2025-05)资助 (江西省地质局资助,2025-05)

高校地质学报

1006-7493

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