Application of Visual Modflow in predicting shaft water inflow in the Baijian iron mining area
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摘要: 在分析确定白涧矿区水文地质边界条件的基础上,运用实测资料对Visu-almodflow模型进行识别和验证,同时修正了含水层的参数,修正后的模型较为可靠,可用于白涧矿区涌水量的预测。依据矿区奥灰含水层边界条件和渗透系数的不同,设计了-200m和-400m水平面不同边界及渗透系数三个方案对矿井的涌水量进行预测。结果表明:方案2的涌水量比较合理,能较真实的反映白涧铁矿矿体分布区水位疏降至-400m时的涌水量情况,预测其涌水量为7505m3/h。Abstract: Based on the analysis on hydrogeology and boundary conditions of the Baijian mining area, Visual Modflow model is recognized and verified with actual measurement data, meanwhile, the parameter of the aquifer is modified. The modified model is reliable and can be used for water inflow prediction in the Baijian mining area. According to the different boundary and permeability coefficient in the Ordovician limestone aquifer, three predicting schemes on -200m and -400m horizontal plane with different boundaries and permeability coefficients are designed and used. The results show that schemes 2 is more reasonable and can really reflect the water inflow when the water table drops down to -400m in Baijian mining area, and the predicted water inflow is 7505 m3/h.
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