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Fast Fisher Discrimination of Water-Rich Burnt Rock Based on DC Electrical Sounding Data
Mine Water and the Environment ( IF 2.8 ) Pub Date : 2021-02-04 , DOI: 10.1007/s10230-020-00747-x
Haijun Xie , Jin Li , Yi Dong , Gongyu Li , Zihao Han

Direct current (DC) electrical sounding was performed to quickly identify the location of potentially dangerous water hidden in burnt rock (formed by spontaneous combustion of the coal). The Fisher discriminant method was used to generate the functional relationship between borehole water inflow and DC electrical sounding data, and a model was established to identify the water-enriched burnt rock areas. Based on a reevaluation of the training samples, the accuracy of the water-rich discrimination model was found to be 89.1%. Finally, the water enrichment in the burnt area was predicted based on DC sounding data from 576 survey points in five exploration lines, and the predictions were compared with the subsequent water inflow data from boreholes. We found that the predicted results were highly consistent with the water inflow data in the boreholes. Thus, the feasibility of using this approach was verified.



中文翻译:

基于直流电测深数据的富水烧岩石快速Fisher判别

进行了直流(DC)电测深,以快速确定隐藏在烧成岩石中的潜在危险水的位置(由煤的自燃形成)。利用Fisher判别方法生成了井眼水流入量与直流电测深数据之间的函数关系,并建立了一个模型来识别富水的烧石区域。根据对训练样本的重新评估,发现富水判别模型的准确性为89.1%。最后,根据来自五个勘探线中576个测量点的DC探测数据,预测了燃烧区的水富集情况,并将该预测结果与随后从井眼获得的入水数据进行了比较。我们发现,预测结果与井眼中的入水数据高度一致。

更新日期:2021-02-04
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