摘要
矿区关闭后仍会产生残余变形,在地表进行设施建设时会对建筑物造成损伤,甚至危害人民生命财产的安全。为了解关闭矿井对周围的地表产生的影响程度,通常采取矿区沉降监测对未来的地表移动变形进行预测。为满足矿区需求,基于小基线集技术(SBAS-InSAR)对鄂庄煤矿的41501和41503工作面充填开采地表进行形变监测,采用2022年12月8日至2024年3月20日的40景Sentinel-1A数据对矿区工作面进行时空演化特征分析,并利用岩层数据处理系统预测研究区域地表残余变形,探究地表移动变形规律。研究结果表明,41501工作面的沉降速率在5.8~41.0 mm/a之间,累计沉降在33.6~92.3 mm之间,预测未来一年沉降量在100~200 mm之间。41503工作面沉降速度在21.3~41.5 mm/a之间,累计沉降量在17.6~92.3 mm之间,预测未来一年沉降量在70~150 mm之间。试验成功揭示了工作面残余沉降时空特征,为残余沉降预测提供关键决策依据。
Even after the mining area is closed,residual deformation will still occur.When facilities are constructed on the surface,it will cause damage to buildings and even endanger the safety of people's lives and property.To understand the extent to which the closure of a mine affects the surrounding surface,the common approach is to conduct settlement monitoring in the mining area and predict future surface movement and deformation.To meet the demands of the mining area,this paper conducts surface deformation monitoring of filling mining in the 41501 and 41503 working faces of Ezhuang Coal Mine based on the Small Baseline Set technology(SBAS-INSAR).The spatio-temporal evolution characteristics of the mining area working face were analyzed through 40 scenes of Sentinel-1A data from December 8,2022 to March 20,2024,and the residual surface deformation of the study area was predicted by using the rock layer data processing system to explore the surface movement deformation law.The research results show that the settlement rate of the 41501 working face is between 5.8 and 41.0 mm/a,and the cumulative settlement is between 33.6 mm and 92.3 mm.It is predicted that the settlement degree in the coming year will be between 100 mm and 200 mm.The settlement velocity of the 41503 working face is between 21.3 and 41.5 mm/a,and the cumulative settlement is between 17.6 mm and 92.3 mm.It is predicted that the settlement degree in the coming year will be between 70 mm and 150 mm.This experiment successfully revealed the spatiotemporal characteristics of residual settlement in the working face,providing a key decision-making basis for the prediction of residual settlement.
作者
张国建
董军阳
范建国
高鑫
李长杰
管然发
李云煊
王荟钦
ZHANG Guojian;DONG Junyang;FAN Jianguo;GAO Xin;LI Changjie;GUAN Ranfa;LI Yunxuan;WANG Huiqin(School of Surveying and Geo-informatics,Shandong Jianzhu University,Jinan,Shandong 250101,China;Deep Earth Science and Engineering Branch of Shandong Energy Xinwen Mining Group Co.,Ltd.,Jinan,Shandong 271000,China;Technology Research Institute of Shandong Energy Group Co.,Ltd.,Jinan,Shandong 250000,China)
出处
《中国煤炭》
北大核心
2025年第12期258-270,共13页
China Coal
基金
国家自然科学基金项目资助(52204097)
山东省自然科学基金项目资助(ZR2020QD049)。
