长沙理工大学学报(自然科学版)
基于MT-InSAR的河南白沙水库煤矿区沉降监测
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作者单位:

(1. 长沙理工大学 交通学院 ,湖南 长沙 410114;2. 长沙理工大学 雷达遥感与应用技术实验室 ,湖南 长沙 410114)

作者简介:

通讯作者:

邢学敏(1983—)(ORCID:0000-0002-7741-4899),女,副教授,主要从事雷达干涉测量学在地表形变监测中的应用研究。E-mail:xuemin.xing@csust.edu.cn

中图分类号:

P237

基金项目:

国家自然科学基金项目(41674040、41701536);湖南省自然科学基金项目(2017JJ3322);湖南省教育厅科学研究重点项目(18A148);湖南省研究生科研创新项目(CX2018B544)


Subsidence monitoring using MT -InSAR for Baisha Reservoir coal mining area in Henan Province
Author:
Affiliation:

(1. School of Transportation , Changsha University of Science & Technology , Changsha 410114, China; 2. Laboratory of Radar Sensing Applications , Changsha University of Science & Technology , Changsha 410114, China)

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    摘要:

    【目的】研究河南省白沙水库煤矿区地表沉降的时空演化规律。【方法】选取 2015年12月7日至 2017年3月7日欧洲航天局 Sentinel -1A影像数据,采用多时相合成孔径雷达干涉测量 (multi -temporal interferometric synthetic aperture radar,MT -InSAR)技术对 20景Sentinel -1A升轨卫星遥感影像进行形变监测。具体地,分别利用 MT-InSAR技术中的永久散射体 (persistent scatterer InSAR,PS-InSAR)和小基线集 (small baseline subsets InSAR,SBAS -InSAR)技术,获得研究区域的两组时序形变结果,并开展了累积沉降点变化分析、沉降盆地剖面分析和沉降特征点时序分析,同时将两组时序形变结果与水准实测结果对比进行精度验证。【结果】研究区域内存在 3个典型沉降盆地,最大累积沉降量达 141 mm;两组结果的时空分布特征具有较高的一致性,研究区以线性沉降为主,采用 PS-InSAR和SBAS -InSAR技术获取的沉降结果与水准实测结果的均方根误差分别为 ±8 mm和±6 mm,分别占矿区最大累积沉降量的 5.7%和4.3%。【结论】通过对两组试验结果进行交叉验证,其相关系数高达 0.825 8,证实了 MT-InSAR技术在该矿区形变监测中的 可行性,本研究可为当地矿区安全开采及环境保护提供参考。

    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.

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邢学敏,杨东,刘祥彬,等.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.
XING Xuemin, YANG Dong, LIU Xiangbin, et al. Subsidence monitoring using MT -InSAR for Baisha Reservoir coal mining area in Henan Province[J]. Journal of Changsha University of Science & Technology (Natural Science),2025,22(4):194-203.

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  • 收稿日期:2022-02-22
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  • 在线发布日期: 2025-09-26
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