摘要
长沟峪煤矿矿井涌水量受降雨影响显著,曾经因降雨造成淹井事故。文章分析了长沟峪煤矿矿井充水因素及其影响程度,建立了矿井涌水量预测的BP网络模型,通过对2006年和2007年+141水平和+20水平矿井最大涌水量预测验证了该模型的可行性,并据此对不同降雨条件下的矿井涌水量进行了预测。
Water yield of coal mine was significantly influenced by rainfall in Chang-gou-yu Coal Mine, the accidents of flooding well had happened. In this paper, water filling factors of mine and it＇ s influence degree were analyzed and BP artificial neural network was used. The prediction model of mine inrush water in chang-gou-yu mine was also established. The model was verified by predicting the most water yield of ＋ 141 and ＋ 20 level roadway in 2006 and 2007 respectively, and water yield of mine in chang-gou-yu coal mine was predicted for different rainfall based on the model.
出处
《中国地质灾害与防治学报》
CSCD
2009年第1期122-125,共4页
The Chinese Journal of Geological Hazard and Control
关键词
BP神经网络
降雨入渗
矿井涌水量
预测模型
长沟峪煤矿
BP artificial neural network
rainfall infiltration
mine water discharge
prediction model
Changgouyu Coal Mine
