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上盘开采断层活化地表异常形变DS-InSAR监测分析

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针对常规时序InSAR技术在矿区地表形变精细监测中面临的监测点位少,监测精度低,难以获取时空过程等问题,以峰峰矿区万年矿132 158工作面上盘开采为例,采用12幅Sentinel-1A影像利用DS-InSAR技术提升监测点位密度,获取工作面开采时断层对地表形变空间分布的影响过程,识别断层地表出露处及地表破裂区,并对影响DS-InSAR监测精度的主要因素进行分析.基于地表布设的28个地表移动观测站水准测量数据进行精度验证,DS-InSAR技术在该区域监测的精度为13.2 mm,结果表明DS-InSAR技术可用于断层扰动的矿山开采地表异常形变高精度识别.
DS-InSAR monitoring and analysis of surface abnormal deformation caused by fault activation in hanging wall mining
In order to solve the problems faced by conventional time-series InSAR technology in the fine monitoring of surface deformation in mining areas,such as few monitoring points,low monitoring accuracy,and difficulty in obtaining spatio-temporal processes.This article takes the hanging wall mining of the 132 158 working face of Wannian Mine in Fengfeng Mining Area as an example,uses 12 Sentinel-1A images and DS-InSAR technology to improve the density of monitoring points,obtains the impact process of mining process interruption layer on the spatial distribution of surface deformation,identifies the specific location of fault surface exposure and surface fracture area,and analyzes the main factors affecting the accuracy of DS-InSAR monitoring.Through the leveling measurement data of 28 surface movement observation stations deployed on the ground,the accuracy of DS-InSAR technology in monitoring the area was verified to be 13.2 millimeters,indicating that DS-InSAR technology can be used for high-precision identification of surface abnormal deformation in mining operations with fault disturbance.

mining subsidencefaultDS-InSARabnormal deformation

黄继磊、王家耀

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河南财经政法大学资源与环境学院,郑州 450046

河南大学河南省时空大数据产业技术研究院,郑州 450046

开采沉陷 断层 DS-InSAR 异常形变

国家自然科学基金联合基金项目河南省科技攻关项目河南财经政法大学校级研究课题项目

U21A20142421023211732022031

2024

测绘科学
中国测绘科学研究院

测绘科学

CSTPCD北大核心
影响因子:0.774
ISSN:1009-2307
年,卷(期):2024.49(7)