干涉合成孔径雷达
全球导航卫星系统增强
地质学
变形(气象学)
大地测量学
合成孔径雷达
遥感
煤矿开采
下沉
干涉测量
地下水相关沉降
煤
计算机科学
地理
全球定位系统
全球导航卫星系统应用
地貌学
海洋学
物理
构造盆地
电信
考古
天文
作者
Ya-xing Li,Keming Yang,Jianhong Zhang,Zhixian Hou,Shuang Wang,Xingcheng Ding
出处
期刊:Natural Hazards
[Springer Nature]
日期:2022-07-18
卷期号:114 (3): 2479-2508
被引量:8
标识
DOI:10.1007/s11069-022-05476-8
摘要
Interferometric Synthetic Aperture Radar (InSAR) has become the primary remote sensing detection method for monitoring significant surface subsidence and deformation caused by underground coal mining. Time Series InSAR has been intensively researched in mining-caused deformation monitoring for its ability to provide surface deformation time series, with Small Baseline Subset InSAR (SBAS-InSAR) and Permanent Scatter InSAR (PS-InSAR) being two classical methods. To obtain the incline and curvature in mining areas and assess the building damage, this paper exploits the SBAS-InSAR and PS-InSAR techniques to estimate surface incline and curvature, following the principle of directional derivatives. The surface beneath the villages and the industrial square near the 7221 Grout-filled working face in the Huaibei mining area of Anhui Province, China, was analyzed. The estimated surface incline and curvature with SBAS-InSAR were within the threshold values specified for Class I damage, while PS-InSAR showed <1% of measurements that exceeded this threshold. This paper provides a method for monitoring the surface deformation beneath the buildings in the mine area. Meanwhile, the dynamic analysis of the damaged buildings provides a basis for determining the influence range with grout-filled working faces.
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