矿井突水水源判别研究现状及发展趋势  

Research Status and Development Trend of Water Source Identification of Mine Water Inrush

作　　者：崔中良 黄保胜 龙向前 CUI Zhongliang;HUANG Baosheng;LONG Xiangqian(Yunnan Chihong Zn&Ge Co.,Ltd.,Qujing 655000,Yunnan,China)

机构地区：[1]云南驰宏锌锗股份有限公司,云南曲靖655000

出　　处：《中国钨业》2018年第4期42-50,共9页China Tungsten Industry

摘　　要：判别矿井突水水源是预防和解决矿井突水灾害的关键,在矿山防治水工作中扮演着十分重要的角色。采用中国知网(CNKI)的检索功能对主题选择为"突水水源"的相关文献进行统计分析,并进行计量可视化分析,结果显示人工神经网络与计算机算法的结合是当前判别突水水源的应用热点。论述了矿井突水水源判别的主要方法,并概述各种方法的应用现状,指出当前研究存在的问题,得出未来矿井突水水源判别方法将具有精细化、广泛化和可视化的特点,并指出了矿井突水水源判别研究方向和发展趋势。Determination of mine water inrush source is the key to solve and prevent mine water inrush disaster,and it plays an important role in mine water prevention and control work.By using the retrieval function of China Knowledgeable Network(CNKI),this paper statistically analyzes of the related literature with the theme of"water inrush source".The results show that the combination of neural network and excellent algorithm is the current application hot spot of Water Inrush Source identification.This paper discusses the main methods for distinguishing mine water inrush source and summarizes the application status of various methods.Based on the analysis of the existing problems in current research,we point out the research direction and development trend.

关 键 词：突水水源判别 水温水位法 水化学分析法 数理分析法 

分 类 号：TD745[矿业工程—矿井通风与安全]