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基于Stacking-InSAR的煤矿沉降监测与综采面参数反演

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为进一步探究煤矿矿区沉降的更多细节特征内容,本次研究以西北地区某煤矿矿区为实际案例,综合应用基于Stacking-InSAR的煤矿沉降监测与综采面参数反演方法对该矿区的沉降特征进行监测.首先,以该矿区的Sentinel-1A卫星影像数据为基础,确定本次应用Stacking-InSAR方法进行建模和解算的有效性与可行性.其次,在确定应用Stacking-InSAR方法后,对目标矿区的3个典型沉降区域进行解译,对具体沉降速率变化、沉降量特征和季节性变化特征等因素进行分析,以初步明确各个沉降区域的沉降规律,识别可能存在的风险因素.最后,进一步应用Okada均匀弹性半空间矩形位错模型对综采面参数进行反演,以探究目标矿区综采面开拓煤量,结果显示,反演结果较具准确性,因此初步证明了本次基于Stacking-InSAR的煤矿沉降监测与综采面参数反演研究工作具有一定的实际应用价值.
Coal mine settlement monitoring and fully mechanized mining face parameter inversion based on Stacking InSAR
In order to further explore the detailed characteristics of subsidence in coal mining areas,this study takes a coal mining area in the northwest region as an actual case,and comprehensively applies the Stacking InSAR-based coal mining subsidence monitoring and comprehensive mining face parameter inversion method to monitor the subsidence characteristics of the mining area.Firstly,based on the Sentinel-1A satellite image data of the mining area,the effectiveness and feasibility of applying the Stacking InSAR method for modeling and calculation are determined.Secondly,after determining the applica-tion of Stacking InSAR method,the three typical subsidence areas of the target mining area were interpreted,and factors such as specific subsidence rate changes,subsidence amount characteristics,and seasonal variation characteristics were ana-lyzed to preliminarily clarify the subsidence patterns of each subsidence area and identify potential risk factors.Finally,the Okada uniform elastic half space rectangular dislocation model was further applied to invert the parameters of the fully mechanized mining face,in order to explore the amount of coal developed in the target mining area.The results show that the inversion results were more accurate,thus preliminarily proving that the research on coal mine settlement monitoring and fully mechanized mining face parameter inversion based on Stacking InSAR has certain practical application value.

Stacking InSARcoal mine subsidence moni-toringinversion

汪晨星、史凌亚、李瑞东

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河南省地质局矿产资源勘查中心,河南郑州 450053

河南省自然资源科技创新中心(地球物理深部探测研究),河南郑州 450053

Stacking-InSAR 煤矿沉降监测 反演

2024

陕西煤炭
陕西省煤炭工业协会 神华神东煤炭集团有限责任公司 陕西煤业化工集团有限责任公司

陕西煤炭

影响因子:0.204
ISSN:1671-749X
年,卷(期):2024.43(10)