In order to figure out the source of bursting water in an accurate manner, the multivariate mixed models theory and hydrochemical analysis were used to build the multivariate mixed models for aquifer and bursting water source. By combining the built equations, numerical analysis was taken for the bursting water source. The gained result was compared with those gained by the BP neural network method and the fuzzy comprehensive evaluation method. The comparison shows that these results are basically consistent with each other, proving that the multivariate mixed models can well be counted upon as a reliable tool. The tool is able to accurately figure out the source of coal mine water invasion and the calculation process is simple and accurate; it is less restricted by water chemical analysis of sample size and ionic species number, thus making a great contribution to the improvement of the safety production of coal mine.
LIU Jianmin
,
WANG Jiren
,
HE Zhiliang
. Multivariate Mixed Models Based Source Determination of Coal Mine Water Burst[J]. Science & Technology Review, 2014
, 32(9)
: 79
-83
.
DOI: 10.3981/j.issn.1000-7857.2014.09.012
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