综合GPS技术与灰色模型的西郝庄铁矿开采沉陷预计

发布时间：2018-05-29 07:06

本文选题：开采沉陷 + GPS　；参考：《金属矿山》2016年10期

【摘要】：矿区开采产生的空区易引发地表沉陷、塌陷等一系列地质灾害问题,严重威胁矿区及周边生态环境。以西郝庄铁矿为例,在分析矿区地质特征的基础上,基于GPS监测技术原理,构建了西郝庄铁矿地表沉陷监测网;然后采用该GPS沉陷监测网获取的监测数据,基于灰色理论构建了G(1,1)沉陷预计模型,给出了监测点的沉陷预计公式;最后通过Matlab软件构建了矿区数字高程模型,并对矿区地表沉陷较严重的部位进行了预计。研究表明:1矿区大部分区域的累计沉陷值基本小于40 mm,发生地面塌陷的可能性较小,CD3~#、CD4~#、CD5~#、CD6~#点附近沉陷值较大,约60 mm;2G(1,1)模型的预计值与实测值的误差分别为1.38%(CD3~#点)、0.56%(CD9#点),预计值和实测值构建的矿区数字高程模型基本一致,表明G(1,1)模型对于矿区开采沉陷的预计有一定的精度。
[Abstract]:A series of geological disasters, such as surface subsidence and collapse, are easily caused by the goaf in mining area, which seriously threaten the ecological environment of mining area and its surrounding area. Based on the analysis of geological characteristics of mining area, and based on the principle of GPS monitoring technology, the surface subsidence monitoring network of Xihao Zhuang Iron Mine is constructed, and the monitoring data obtained by the GPS subsidence Monitoring Network are used. Based on the grey theory, the prediction model of the subsidence is constructed, and the prediction formula of the monitoring point is given. Finally, the digital elevation model of the mining area is constructed by Matlab software, and the more serious subsidence part of the mining area is predicted. The results show that the accumulative subsidence value in most areas of the W1 mining area is basically less than 40 mm, and the probability of surface collapse is smaller than that of #CD5, #CD5 and #CD6 #. The error between the predicted value and the measured value of the model is 0.56 and CD9# points respectively. The predicted value and the measured value are basically the same as the digital elevation model of the mining area, which indicates that the model has a certain accuracy for the prediction of mining subsidence in the mining area.
【作者单位】：中化二建集团有限公司;山西华晋岩土工程勘察有限公司;晋中职业技术学院矿业工程系;
【分类号】：TD327

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