摘要
为分析矿区开采沉陷造成的地表大范围缓慢形变时空演化特征,本文基于15景哨兵1B降轨数据,采用小基线集技术(SBAS-InSAR)对矿区进行时序InSAR处理,获取矿区2019年10月-2020年3月的地表形变年平均速率和时序累计形变信息,利用形变量插值、形变剖面、标准差椭圆等方法对矿区地表形变时空演化特征进行分析,共识别出矿区19个沉降漏斗,其形变量在监测期内均逐渐增大,最大形变量达到217 mm;地表形变空间范围也在逐步扩大,在空间方向上由NE-SW(北东-南西向)发展。结合同期北京二号高分辨率光学影像进行专家判识,发现SBAS-InSAR监测结果形变中心位置(最大形变或失相干位置)均为矿区开采坑口,监测结果与实际开采沉陷规律一致。结果表明:基于SBAS-InSAR的矿区地表形变监测,结合高分辨率光学遥感影像的专家判识,可以对矿区地表形变时空演化特征进行分析,进而为矿区地质灾害的防治提供参考依据。
To analyze the spatial and temporal evolution characteristics of the large surface slow deformation caused by mining subsidence,15 sentinel-1 B descending orbit data and time series InSAR technology is applied to the mining area to obtain the annual average rate of surface deformation and time series cumulative deformation information of the mining area from October 2019 to March 2020. Spatial-temporal evolution characteristics of surface deformation in the mining area are analyzed through the methods of shape variable interpolation,deformation profile and standard deviation ellipse. 19 subsidence funnels are identified,and their shape variables gradually increased during the monitoring period,with the maximum shape variable reaching 217 mm. The spatial of surface deformation is also gradually expanding,developing from NE-SW in spatial direction. Combined with the high-resolution optical image of Beijing-2 in the same period,it is found that the deformation Center(maximum deformation or incoherence position)of SBAS-InSAR results are the mining pit,and consistent with the actual mining subsidence law. The results show that SBAS-InSAR technology,combined with high-resolution optical remote sensing data,can analyze the temporal and spatial evolution characteristics of surface deformation,and then provide reference for the prevention and control of geological disasters in mining area.
作者
耿丹
涂宽
谌华
郑健
GENG Dan;TU Kuan;SHEN Hua;ZHENG Jian(21st Century Space Technology Application Co.,Ltd.,Beijing 100096,China)
出处
《自然灾害学报》
CSCD
北大核心
2022年第1期251-264,共14页
Journal of Natural Disasters
基金
国家重点研发专项(2017YFC150091)。
关键词
高分辨率光学遥感
SBAS-InSAR
标准差椭圆
矿区地表形变
时空演化特征
high resolution optical remote sensing
SBAS-InSAR
standard deviation ellipse
surface deformation of mining area
spatiotemporal evolution characteristics
