1. 长安大学 环境科学与工程学院,陕西,西安,710054
2. 旱区地下水文与生态效应教育部重点实验室,陕西,西安,710054
3. 陕西地矿九〇八水文地质工程地质大队,陕西,西安,710600
纸质出版:2017
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李秀娟, 田国林, 高小文, 等. 纳林河二号煤矿首采区煤矿涌水量预测及其参数灵敏度分析[J]. 水土保持通报, 2017,37(5):309-314.
Mining Water Yield Forecast of Initial Minery and Parameter Sensitivity Analysis in Nalinhe NO.2 Coalmine[J]. Bulletin of Soiland Water Conservation, 2017, 37(5): 309-314.
李秀娟, 田国林, 高小文, 等. 纳林河二号煤矿首采区煤矿涌水量预测及其参数灵敏度分析[J]. 水土保持通报, 2017,37(5):309-314. DOI: 10.13961/j.cnki.stbctb.2017.05.052.
Mining Water Yield Forecast of Initial Minery and Parameter Sensitivity Analysis in Nalinhe NO.2 Coalmine[J]. Bulletin of Soiland Water Conservation, 2017, 37(5): 309-314. DOI: 10.13961/j.cnki.stbctb.2017.05.052.
[目的
]
煤矿业开采规模与深度的不断增加导致煤矿水害事故发生,故为确保煤矿安全高效开采,必须对煤矿涌水量做充分预测研究。[方法
]
依据研究区自然地理、地质条件,并且结合富水性分布规律等,充分认识煤矿水文地质条件。运用地下水流数值模拟方法,针对纳林河二号煤矿首采区3
1
#
煤层,建立起煤矿涌水量预测模型,并选取各层渗透介质的水文地质参数进行灵敏度分析,最终预测涌水量的大小。[结果
]
首采区工作面采掘至第5,11 a末时潜水位最大降深值分别为32.30,47.72 m,3
1
#
煤层顶板承压水位最大降深值分别为530.37,564.63 m;煤矿涌水量分别可达57 994,86 240 m
3
/d。[结论
]
首采区矿坑不断排水疏干,降深越来越大;模型参数对预测结果影响较大。
[Objective] The growing coal mining scale and depth easily lead to the occurrence of coalmine water disasters. Consequently
to assure coal mining in a safe and efficient way
mine water discharge is needed to be fully understood.[Methods] According to the physiographic
geological conditions of the researched area and water abundance distribution as well
this paper acquired a full knowledge of the hydrogeological condition of mines. By applying the groundwater flow numerical simulation to the 31# coal seam of the first mine area of the No. 2 coal mine of Nalinhe
this paper established a mine discharge forecast model and its sensitivity was analyzed by enumerating different hydrogeological parameters of the permeability media of all levels. Upon that
the amount of the mine discharge has been forecast.[Results] The groundwater table drop depths will be 32.30 m and 47.72 m respectively
the confined groundwater level drop depths will be 530.37 m and 564.63 m respectively
and the mine water yields will be 57 994 m3/d and 86 240 m3/d respectively at the ends of 5th and 11th year.[Conclusion] If the mine drainage in the first mining area is drained and the drop depth get more and more great
the selection of model parameters will have great influence on the prediction results.
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叶淑君,吴吉春,薛禹群.多尺度有限单元法求解非均质多孔介质中的三维地下水流问题[J].地球科学进展,2004,19(3):437-442.
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吴雯倩,靳孟贵. 淮北市地下水流数值模拟及水文地质参数不确定性分析[J]. 水文地质工程地质,2014,41(3):21-28.
王纲胜,夏军,陈军锋. 模型多参数灵敏度与不确定性分析[J]. 地理研究,2010,29(2):263-270.
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