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1)  mine water filling factor
矿井充水因素
2)  overflowed groundwater
矿井充水
1.
The overflowed groundwater in Yushui sulfur-copper mine is analyzed,and the rules of karst development in vertical and level direction are studied in the paper.
文中主要分析玉水硫铜矿矿井充水因素,掌握岩溶垂向和平面上的发育规律,对玉水硫铜矿的断层充水因素进行剖析,掌握矿井涌水的影响因素,提出在生产过程中的防治水对策。
3)  water filling factor
充水因素
1.
based on fully analyzed the hydrogeological condition and mine water filling factors,estimated water conducted fracture zone height activated by the mining of No.
在全面分析大雁矿业集团公司雁南煤矿北二采区的水文地质条件及煤层开采矿井充水因素的基础上,计算了开采271号煤层时导水裂隙带发育高度,得出了北二采区各煤层工作面开采即不会受到上部砂砾含水层的影响,雁南煤矿铁路涵洞以西的胜利河冲击沟也不会受到北二采区的采动塌陷影响的结论。
2.
After analyzed the hydrogeological condition and water filling factors in the area,considered that the Jurassic bedded fissure and pore water is the direct water filling source,the Quaternary pore water,gob water and mine drainage are indirect water filling sources.
通过对该区水文地质条件和充水因素的分析,认为矿井直接充水水源是侏罗系层状裂隙孔隙水,间接充水水源是第四系孔隙水、老窿区积水和矿井排水。
3.
From the analysis of hydrogeological condition and water filling factors of both mines,predicted normal mine inflow and hazard in Luoyuan minefield through mine inflow comparison and analog method and groundwater dynamic formulae.
在分析井田充水因素的基础上,指出灰岩与煤岩层对口部位是突水发生的主要地段。
4)  water-filling factor
充水因素
1.
In the light of the problem that the shaft water inflow in the capital construction of Zhaozhuang Coal Mine is larger,and connecting with the actual water-inrush in the construction of the shaft,this paper makes directional analysis on the water-filling factors of No.
针对赵庄矿井在基建施工中矿井涌水量较大的问题,结合矿井施工中实际涌水情况,有针对性地分析了主采3号煤层的充水因素,对矿井安全生产中防治水工作提出建议。
2.
Taking the example of a coal mine that has been in operation for many years,this paper points out the major water-filling factors of the mine on the basis of the analyzing the hydrogeological characters of the mine.
以运营多年的某煤矿为例,在分析该矿井水文地质特征的基础上,指出了该矿井的主要充水因素,并采用"大井法"预算了矿井的涌水量,与已有的监测数据进行对比,其计算结果较吻合,为该矿井的设计、开采提供了依据。
5)  water source of inundation in mine
矿井充水水源
6)  mine with pore water yield
孔隙充水矿井
1.
Prediction of inrush water of mine with pore water yield based on BP artificial neural network;
基于BP神经网络的孔隙充水矿井涌水量预测
补充资料:非密度制约因素(见密度制约因素)


非密度制约因素(见密度制约因素)


  l焦非密度制约因素见生态因素、密度制约后
  
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