基于SBAS-InSAR的开采沉陷特征分析

Characteristics analysis of mining-induced subsidence based on SBAS-InSAR

针对传统地表沉陷监测方法在开采沉陷影响范围识别中的不足,以建新煤矿为例,采用SBAS-InSAR技术对覆盖研究区域的2021年12月9日至2022年6月2日的30景重访周期为12 d的Sentinel-1A数据进行干涉处理,得到了采空区沉陷范围,并对时空分布特征进行分析。结果表明,该区域主要分布3处沉降中心,形变影响范围约为3.77 km^(2);最大累计沉降量为-530 mm,年平均形变速率最大达到-266 mm/a;时序沉降值与GNSS实测值整体趋势一致。该方法证明了短重访SAR数据可动态提取矿区时空分布特征以及时序变化过程,能够为矿区灾害防治提供科学依据。

Aiming at the shortcomings of the traditional surface subsidence monitoring methods in the identification of the influential range of mining subsidence,taking Jianxin Coal Mine as an example,SBAS-InSAR technology was used to the interference process of the Sentinel-1A data with a revisit period of 12 d in 30 views covering the study area from 9 December 2021 to 2 June 2022,to obtain the subsidence range of the goaf area,and the spatio-temporal distribution characteristics were analyzed.The results show that there are mainly three subsidence centers in the area,and the deformation influential area is about 3.77 km^(2);the maximum cumulative subsidence is-530 mm,the maximum annual average deformation rate reaches-266 mm/a;and the sequential subsidence values are consistent with the overall trend of the GNSS measured values.It proves that the short revisit SAR data can dynamically extract the spatio-temporal distribution characteristics of the mining area as well as the sequential change process,which can provide scientific basis for the prevention and control of geological hazards in the mining area.