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作 者:齐晓华 QI Xiaohua(Sunjiacha Longhua Mining Co.,Ltd.,Shaanxi Coal and Chemical Industry Group,Yulin 719300,Shaanxi,China)
机构地区:[1]陕西煤业化工集团孙家岔龙华矿业有限公司,陕西榆林719300
出 处:《能源与节能》2025年第2期69-74,共6页Energy and Energy Conservation
摘 要:陕北榆神府矿区煤炭资源品质优良,煤层是典型的浅埋煤层。浅埋深大采高工作面煤层开采时对覆岩及地表造成的影响比一般采矿地质条件下更为严重,地表为黄土沟壑时地表沉陷灾害也更为严重。提出了利用传统地面观测站监测、GNSS自动监测和无人机航测等方式获得地表移动变形数据,以构建地表移动时空数据模型的方案,采用研究成果建立龙华煤矿20202工作面地面移动时空数据库,基于20202工作面地面移动时空数据库进行2-2煤层地面开采移动参数计算、开采沉陷预测,对预测精度进行评估。研究成果对提高对榆神府矿区浅埋深大采高开采地表移动的预测精度有积极意义。The coal resources in Yushenfu mining area of northern Shaanxi are of good quality,and the coal seam is a typical shallow buried coal seam.The impact of the working face with large mining height and shallow buried depth on the overburden and surface of the coal seam is more serious than that of the general mining geological conditions,and the surface subsidence disaster is more severe when the surface of the land is loess gully.A scheme was proposed to construct a spatiotemporal data model of surface movement in mining area by using ground observation stations,automatic monitoring of GNSS and UAV aerial photography to obtain surface movement and deformation data,and the spatiotemporal database of surface movement of 20202working face of Longhua Coal Mine was established by using the research results,and the surface mining movement parameters of2-2coal seam were calculated and the mining subsidence prediction was made,and the prediction accuracy is evaluated..The research results are of positive significance to improve the prediction accuracy of surface movement caused by shallow burial,deep and large mining in Yushenfu mining area.
关 键 词:榆神府矿区 浅埋深 大采高 开采沉陷 地表移动时空数据模型
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