摘要
针对矿区地表塌陷过程中难以获取全面的形变信息问题,以赵固二矿采煤塌陷区为研究区,首先,基于多源多时相光学遥感影像采用综合归一化差异水体指数提取开采塌陷区积水的空间展布情况;然后,利用SBAS-InSAR技术处理63景2017年3月19日—2021年4月27日Sentinel-1A影像,获取研究区地表形变信息。结果表明:2010—2019年年均塌陷积水面积新增幅度基本平稳,2019—2021年年均塌陷积水面积新增幅度减小;研究区最大形变速率为-60.42 mm/a,形变速率小于-15 mm/a区域均有房屋墙体损坏和地裂缝现象。该方法有效地提取了开采塌陷区较长时期内地表形变信息和空间展布情况,为矿区地表塌陷监测提供新的思路,形成了一套有效的矿区地表塌陷监测工作方法和流程,达到了遥感技术在矿区地表塌陷宏观、快速、准确监测的目的,为矿区塌陷修复和生态环境治理提供基础数据支撑。
Aiming at the problem that it is difficult to obtain comprehensive deformation information in the process of surface subsidence in the mining area,the mining subsidence area of Zhaogu No.2 coal mine was taken as the research area.Firstly,based on multi-source and multi-temporal optical remote sensing images,the comprehensive normalized differential water index was used to extract the accumulated water in the mining subsidence area.Then,SBAS-InSAR technology was used to process Sentinel-1A images of 63 scenes from March 19,2017 to April 27,2021 to obtain surface deformation information in the study area.The results show that the increase in the average annual collapse water area is basically stable from 2010 to 2019,and the increase in the average annual collapse water area decreases from 2019 to 2021.The maximum deformation rate in the study area is-60.42 mm/a,and the areas with deformation rate less than-15 mm/a have house wall damage and ground cracks.The method proposed effectively extracts the surface deformation information and spatial distribution in the mining subsidence area for a long period of time,provides a new idea for the monitoring of surface subsidence in the mining area,and forms a set of effective methods and procedures for the monitoring of surface subsidence in the mining area,which improves the remote sensing technology.The purpose of macroscopic,rapid and accurate monitoring of surface subsidence in mining area by remote sensing technology was achieved,which provides basic data support for mining area subsidence restoration and ecological environment governance.
作者
王战卫
安黎明
张斌
白潍铭
贾诗超
张宇航
茹曼
王海侠
WANG Zhan-wei;AN Li-ming;ZHANG Bin;BAI Wei-ming;JIA Shi-chao;ZHANG Yu-hang;RU Man;WANG Hai-xia(Henan Aero Geophysical Survey and Remote Sensing Center,Zhengzhou 450053,China;Ministry of Education Key Laboratory of West China's Environmental System,College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;Beijing F.Qliadrants AI-Data Technology Co.,Ltd.,Beijing 100089,China)
出处
《科学技术与工程》
北大核心
2023年第17期7239-7246,共8页
Science Technology and Engineering
基金
2021年河南省地质矿产勘查开发局局管地质科研项目(豫地矿科研〔2021〕4号)。
关键词
动态监测
INSAR
光学遥感
地表形变
矿区塌陷
dynamic monitoring
InSAR
optical remote sensing
surface deformation
mining collapse area