【摘要】 基于SBAS-InSAR技术,利用84期Sentinel-1A数据,对窑街煤矿矿区2014年10月至2018年9月期间地表形变进行监测,获取研究区时间序列地表形变信息。研究发现矿区范围内存在三处开采沉陷区,提取沉陷影响面积,并对时序沉陷规律进行分析。最大累积沉陷值达到350 mm,沉陷中心区最大年平均沉陷速率约为200 mm/a,沉陷区位置与煤矿开采工作区一致。研究表明SBASIn SAR技术可以有效应用于开采沉陷区的识别与监测,为采空区灾害的预防及治理提供技术服务。更多还原

【Abstract】 The time series surface deformation information was obtained based on SBAS-In SAR technology,the surface deformation from October 2014 to September 2018 was monitored using the 84 Sentinel-1 A data in Yaojie coal mining area. The study found that there were three mining subsidence funnels in the mining area,the area affected by subsidence was extracted and the law of time series subsidence was analyzed. The maximum cumulative subsidence value was 350 mm,the annual average subsidence rate in the central area of the funnel was about200 mm/a,and the location of the subsidence funnel was consistent with the three mining working areas. Research showed that SBAS-InSAR technology could be effectively applied to the identification and monitoring of mining subsidence areas,providing the technical services for the prevention and treatment of disasters in goaf.更多还原