摘要
基于Sentinel-1A数据,利用小基线集差分干涉(SBAS-InSAR)技术监测了山西省孝义市高阳煤矿2018—2020年地表时序沉降,与实际开采情况吻合;根据SBAS-InSAR监测结果对幂指数Knothe时间函数的参数进行反演,建立了参数与工作面推进距离的关系,构建了基于时间和工作面推进距离的地表沉降动态预测模型;用地表观测站水准监测数据验证了模型的可靠性。研究结果可为高阳煤矿及其周边矿区地表沉陷动态监测和预测提供参考。
Based on Sentinel-1A data,the surface subsidence of Gaoyang mine in Xiaoyi city,Shanxi province from 2018 to 2020 was monitored by SBAS-InSAR technology,which was consistent with the actual mining situation;according to the SBAS-InSAR monitoring results,the parameters of the exponent Knothe time function are inverted,the relationship between the parameters and the working face advancing distance is established,and the dynamic prediction model of surface subsidence based on time and working face advancing distance is constructed;the reliability of the model is verified by the level monitoring data of the surface observation station.Research results can provide a reference for dynamic monitoring and prediction of surface subsidence in Gaoyang mine and its surrounding mining areas.
作者
靳雨田
胡海峰
蔡音飞
JIN Yutian;HU Haifeng;CAI Yinfei(College of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China)
出处
《煤炭技术》
CAS
北大核心
2023年第11期30-34,共5页
Coal Technology
基金
山西省自然科学基金青年科学研究项目(20210302124437)
山西省自然科学基金面上自然基金项目(201901D111074)。
关键词
采煤沉陷
小基线集差分干涉技术
高阳煤矿
幂指数Knothe预测模型
mining subsidence
small baseline subsets interferometric synthetic aperture radar(SBASInSAR)
Gaoyang mine
exponent Knothe prediction model
