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基于SBAS-InSAR技术的广东省典型尾矿库地表形变监测与分析

邱锦安 邓志德 金宇豪 卢琪愿 李杰 冯健贤 肖盈蓄 任浩

华南地质2026,Vol.42Issue(2):249-259,11.
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华南地质2026,Vol.42Issue(2):249-259,11.DOI:10.3969/j.issn.2097-0013.2026.02.006

基于SBAS-InSAR技术的广东省典型尾矿库地表形变监测与分析

Surface Deformation Monitoring and Analysis of Typical Tailings Ponds in Guangdong Province Based on SBAS-InSAR Technology

邱锦安 1邓志德 1金宇豪 2卢琪愿 3李杰 1冯健贤 1肖盈蓄 3任浩3

作者信息

  • 1. 广东省地质灾害防治技术中心,广东 广州 510080
  • 2. 华南农业大学水利与土木工程学院,广东 广州 510642
  • 3. 广东省地质工程公司,广东 广州 510080
  • 折叠

摘要

Abstract

[Objective]Aiming at the limited coverage of traditional monitoring methods for tailings ponds in South China's densely vegetated and topographically complex regions,this study takes 10 typical tailings ponds in Guangdong Province as research objects to evaluate the applicability and practical value of SBAS-InSAR technology for long-term deformation monitoring of tailings ponds at a regional scale.[Methods]Ba-sed on Sentinel-1 ascending orbit SAR images acquired from October 2020 to October 2023,the Small Baseline Subset Interferometric Synthetic Aperture Radar(SBAS-InSAR)technique was employed to retrieve the time-series surface deformation characteristics of tailings ponds in the study area.[Results]The inversion results indicate that,during the monitoring period,the overall deformation of the tailings ponds was predominantly subsidence,with the maximum cumulative line-of-sight deformation over three years ranging from-55 mm to-167 mm.Deformation was mainly concentrated in the tailings accumulation area,while the dam structures remained relatively stable.Among them,the Xiagao Iron Mine tailings pond exhibited the most significant subsidence.[Conclusions]SBAS-InSAR technology can effectively capture surface deformation information of tailings ponds under the complex environmental conditions in South China,providing an effective regional-scale monitoring tool for tailings pond safety monitoring and risk identi-fication.

关键词

尾矿库/SBAS-InSAR/地表形变/Sentinel-1/广东省

Key words

tailings pond/SBAS-InSAR/surface deformation monitoring/Sentinel-1/Guangdong

分类

天文与地球科学

引用本文复制引用

邱锦安,邓志德,金宇豪,卢琪愿,李杰,冯健贤,肖盈蓄,任浩..基于SBAS-InSAR技术的广东省典型尾矿库地表形变监测与分析[J].华南地质,2026,42(2):249-259,11.

基金项目

广东省自然灾害引发尾矿库事故灾难应急防控技术研究项目(2023026)、广东省龙川县地质灾害"隐患点+风险区"双控县域试点项目(HYMQ2024044) (2023026)

华南地质

1007-3701

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