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Water Inrush Risk Evaluation of Seam Roof and Floor at Mayingbao Coal Field in Shuozhou City, Shanxi Province

机译:山西省朔州市Mayingbao煤炭煤层和地板水中涌入风险评估

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摘要

Hydrological exploration tests are designed and field data are acquired. By combination of theories and experiments, hydro geological condition and water filling factors of Mayingbao coal mine field are analyzed systematically aiming to ascertaining threatening degree of water hazard of the mine field and studying theory of mine water hazard prevention and control. According to coupling theory between GIS and AHP, models of "water abundance index" and "vulnerability index" are founded respectively. By methods of "three maps-double predictions" and "vulnerability index", water inrush probability from roof and floor of chief exploitable coal seams in the mine field are evaluated quantitatively. Comprehensive regionalization of roof water filling probability and evaluation regionalization of floor water inrush vulnerability of the seams are formed. Based on above study, water inflow of first mining area is predicted and suggestion of water prevention and control for safety production is put forward. Nonlinear and multivariate theory in present geoscience research is improved because of the above results and the research provides necessary basic data for the mine designing, preliminary and feasibility research and subsequent safety production.
机译:设计了水文勘探测试,并获得了现场数据。通过组合和实验,系统地分析了Mayingbao煤矿领域的水力地质条件和水灌装因素,以确定矿山田间水域危害程度及矿井水灾害防治理论。根据GIS和AHP之间的耦合理论,“水丰度指数”和“漏洞指数”的模型分别建立。通过“三种地图 - 双重预测”和“漏洞指数”的方法,定量评估矿灯领域屋顶和屋顶煤层屋顶和地板的水涌出概率。形成屋顶水填充概率的综合区域化和评价接缝的地板水中浪涌脆弱性的区域化。基于上述研究,预测了第一采矿区的水流入,提出了对安全生产的防水控制建议。目前地球科学研究的非线性和多变量理论是提高了由于上述结果,研究为矿井设计,初步和可行性研究和随后的安全生产提供了必要的基本数据。

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