摘要
山西大同地区作为我国重要产煤基地,煤矿开采引发了严重的地表形变,查明该地区地表形变时空分布特征有助于揭示煤矿开采引起的地表形变机理和提升防灾减灾能力。基于2017~2021年Sentinel-1A影像,利用SBAS-InSAR技术获取大同矿区地表形变监测结果,并结合矿区管理数据和幂指数Knothe时间函数分析了典型煤矿地表形变的时空变化特征和演化规律。结果表明:①大同矿区煤矿开采导致出现42个快速形变区,最大形变速率达231 mm·年^(-1),InSAR监测结果与全球卫星导航系统(GNSS)形变时间序列具有较高的一致性,二者形变速率差值小于5 mm·年^(-1);②地表形变空间分布与各矿区开采工作面分布一致,形变区范围及形变速率变化受工作面开采进度及强度控制;③累积形变量随着开采过程逐渐增大,随着开采活动的结束逐渐趋于稳定;④利用幂指数Knothe时间函数能够较好地模拟矿区地表形变演化过程。
As an important coal production base in China,Datong city in Shanxi province has experienced severe surface deformation caused by coal mining.Identifying the spatio-temporal distribution of deformation can reveal the mechanism of surface deformation caused by coal mining,and enhance the capacity of disaster prevention and reduction.The SBAS-InSAR technology was used to obtain surface deformation in Datong mining area with Sentinel-1A image from 2017 to 2021;combining with the mine management data and power exponent Knothe time function,the spatio-temporal characteristics and evolution pattern of surface deformation in typical mining area were analyzed.The results show that①coal mining in Datong mining area results in 42 rapid deformation areas,with a maximum deformation rate of 231 mm per year;the InSAR monitoring results have high consistency with time-series deformation of Global Navigation Satellite System(GNSS),and the difference in deformation rates between the two is less than 5 mm per year;②the spatial distribution of surface deformation is consistent with the distribution of mining faces in each mining area,and the range and rate of deformation are controlled by the mining progress and intensity;③the cumulative deformation gradually increases with the mining process,and tends to stabilize when the mining activity end;④the power exponent Knothe time function can effectively simulate the evolution pattern of surface deformation in mining areas.
作者
白林
苗朝霞
张淑怡
李振洪
席江波
穆文龙
BAI Lin;MIAO Zhao-xia;ZHANG Shu-yi;LI Zhen-hong;XI Jiang-bo;MU Wen-long(School of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,Shaanxi,China;Big Data Center for Geosciences and Satellites,Chang'an University,Xi'an 710054,Shaanxi,China;Generic Technical Development Platform of Shaanxi Province for Imaging Geodesy,Xi'an 710021,Shaanxi,China;The First Geodetic Surveying Brigade of Ministry of Natural Resources,Xi'an 710054,Shaanxi,China;Qinghai Academy of Surveying and Mapping Science and Technology,Xining 810001,Qinghai,China)
出处
《地球科学与环境学报》
北大核心
2025年第3期500-512,共13页
Journal of Earth Sciences and Environment
基金
国家自然科学基金项目(42004005)
陕西省自然科学基础研究计划项目(2024JC-YBMS-199)
陕西省地学大数据与地质灾害防治创新团队项目(2022)
长安大学中央高校基本科研业务费专项资金项目(300102262205)。
作者简介
通信作者:白林(1989-),男,河北沧州人,长安大学副教授,工学博士,E-mail:bailin@chd.edu.cn。
