长沙理工大学学报（自然科学版）2025，Vol.22Issue(4)：194-203,10.DOI:10.19951/j.cnki.1672-9331.20220222001
基于MT-InSAR的河南白沙水库煤矿区沉降监测
Subsidence monitoring using MT-InSAR for Baisha Reservoir coal mining area in Henan Province
摘要
Abstract
[Purposes]This paper aims to study the temporal and spatial evolution of surface subsidence in the Baisha Reservoir coal mining area in Henan Province.[Methods]This paper selected the European Space Agency Sentinel-1A image data from December 7,2015 to March 7,2017,and the multi-temporal interferometric synthetic aperture radar(MT-InSAR)was used to carry out deformation monitoring research on 20 remote sensing images of the Sentinel-1A orbiting satellite.Specifically,two sets of time-series deformation results in this region were obtained by using persistent scatterer InSAR(PS-InSAR)and small baseline subsets InSAR(SBAS-InSAR)techniques in MT-InSAR technology.A cumulative subsidence point change analysis,a subsidence basin profile analysis,and a time-series analysis of subsidence feature points were carried out.At the same time,the time-series deformation results were compared with the measured leveling results for accuracy verification.[Findings]There are three typical subsidence basins in the study area,and the maximum cumulative subsidence amount is 141 mm.The temporal and spatial distribution characteristics of the two groups of results maintain a good consistency.The study area is dominated by linear subsidence.The root mean square errors of the subsidence results obtained by using PS-InSAR and SBAS-InSAR technologies from the measured data of the leveling survey were±8 mm and±6 mm,respectively,accounting for 5.7％and 4.3％of the maximum cumulative subsidence amount in the mining area.[Conclusions]Through the cross-validation of the two sets of experimental results,the correlation coefficient is as high as 0.825 8,which confirms the feasibility of MT-InSAR technology in monitoring the deformation of this mining area,and it can provide reference for safe mining and environmental protection in the local mining area.关键词
矿山/形变监测/InSAR/地面沉降/时序Key words
mine/deformation monitoring/InSAR/surface subsidence/time series分类
天文与地球科学引用本文复制引用
邢学敏,杨东,刘祥彬,黄丽..基于MT-InSAR的河南白沙水库煤矿区沉降监测[J].长沙理工大学学报（自然科学版）,2025,22(4):194-203,10.基金项目
国家自然科学基金项目(41674040、41701536) （41674040、41701536）
湖南省自然科学基金项目(2017JJ3322) （2017JJ3322）
湖南省教育厅科学研究重点项目(18A148) （18A148）
湖南省研究生科研创新项目(CX2018B544) National Natural Science Foundation of China(41674040 and 41701536) （CX2018B544）
Natural Science Foundation of Hunan Province(2017JJ3322) （2017JJ3322）
Key Project of Education Department of Hunan Province(18A148) （18A148）
Innovation Project of Postgraduate of Hunan Province(CX2018B544) （CX2018B544）
