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张满仓, 兰天伟. 基于GIS的煤矿冲击地压危险区域预测[J]. 矿业安全与环保, 2024, 51(3): 126-131. DOI: 10.19835/j.issn.1008-4495.20221280
引用本文: 张满仓, 兰天伟. 基于GIS的煤矿冲击地压危险区域预测[J]. 矿业安全与环保, 2024, 51(3): 126-131. DOI: 10.19835/j.issn.1008-4495.20221280
ZHANG Mancang, LAN Tianwei. Regional prediction of rock burst hazard in coal mine based on GIS[J]. Mining Safety & Environmental Protection, 2024, 51(3): 126-131. DOI: 10.19835/j.issn.1008-4495.20221280
Citation: ZHANG Mancang, LAN Tianwei. Regional prediction of rock burst hazard in coal mine based on GIS[J]. Mining Safety & Environmental Protection, 2024, 51(3): 126-131. DOI: 10.19835/j.issn.1008-4495.20221280

基于GIS的煤矿冲击地压危险区域预测

Regional prediction of rock burst hazard in coal mine based on GIS

  • 摘要: 为了精准预测煤矿冲击地压危险区域,从自然地质、开采技术和防治措施等条件出发,采用层次分析法实现权重计算,应用模糊数学算法进行模糊评判,并基于ArcGIS网格法,将研究区划分为50 m× 50 m的网格单元进行网格赋参和空间插值,分别以0.25、0.50、0.75作为冲击危险性临界值,对峻德矿的煤层和工作面进行冲击危险性预测,确定冲击危险区域。结果表明:峻德矿17煤层的无、弱、中等和强冲击危险区分别占32%、52%、15%、1%;工作面分单元概率预测结果为0.48~0.96,其中弱冲击区占34%,中等冲击区占48%,强冲击区占18%。当采掘工作推进至不同网格单元时,可确定工程所处位置的冲击危险性,以提前制订采取冲击防治措施。

     

    Abstract: In order to accurately predict the risk area of rock burst in coal mine, from perspective of the conditions of natural geology, mining technology and prevention and control measures, the analytic hierarchy process was used to realize the weight calculation, and the fuzzy mathematics was used for fuzzy evaluation. Based on the ArcGIS grid method, the grid unit of 50 m × 50 m was divided, and the grid parameters and spatial interpolation were carried out. Taking 0.25, 0.50 and 0.75 as the critical value of rock burst risk, the rock burst risk of coal seam and working face in Junde Coal Mine was predicted and the rock burst risk area was determined. The results show that the no, weak, medium and strong impact danger zones of 17 coal seam in Junde Coal Mine account for 32%, 52%, 15% and 1% respectively. The prediction results of the unit probability of the working face range from 0.48 to 0.96, of which the weak impact area accounts for 34%, the medium impact area accounts for 48%, and the strong impact area accounts for 18%. When the mining work enters different grid units, the impact risk of the project location can be determined, and the impact prevention measures can be proposed in advance.

     

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