Grey Model for Predicting and Forecasting the Amount of Gushing Water in Shallow Coal Layer

Grey Model for Predicting and Forecasting the Amount of Gushing Water in Shallow Coal Layer
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DOI:
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发表时间:
2004
期刊:
China Safety Science Journal
影响因子:
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通讯作者:
Xiao You-cai;Guan Zhi-min
Xiao You-cai;Guan Zhi-min
中科院分区:
其他
文献类型:
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作者:
Xiao You-cai;Guan Zhi-min

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预测矿井涌水量对煤矿的安全生产至关重要。常规的方法很大程度上依赖于不同水层的水文地质参数。不同因素的影响很难区分和处理,导致预测和预报精度不高。而灰色理论是一种简洁的概括,它可以用一个简单的“灰色数据”来代表所有的不确定因素。结果表明,该方法精度高,使用方便,实用性强。并以浅部煤层为例进行了实例计算,所得结果对促进煤矿水文地质工作具有现实指导意义。
To predict the amount of gushing water is crucial for mining safety and normal production in coal mine. The routine method used was pretty much dependent on hydrogeological parameters from various water layers. It was very difficult to differentiate and deal with the influence of different factors resulted in poor precision of prediction and forecast. However,Grey Theory is a succinct summary,which could use a simple “Grey Data” to represent all indefinite factors. The result showed high precision,besides;it was easy-to-use and practicable. Authors exemplified this model in shallow coal layers;the results obtained would provide a realistic guidance to promote hydrogeological works in coal mine.