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  2. 地质与地球物理研究所
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  4. 中国科学院页岩气与地质工程重点实验室
Application of Multivariate Statistical Analysis to Identify Water Sources in A Coastal Gold Mine, Shandong, China

文献类型：期刊论文

作者Liu, Guowei1,2,3; Ma, Fengshan1,2; Liu, Gang1,2,3; Zhao, Haijun1,2; Guo, Jie1,2; Cao, Jiayuan1,2
刊名SUSTAINABILITY
出版日期2019-06-02
卷号11期号:12页码:17
关键词submarine mine water inrush principle component analysis factor analysis cluster analysis discriminant analysis Bayes model
ISSN号2071-1050
DOI10.3390/su11123345
英文摘要Submarine mine water inrush has become a problem that must be urgently solved in coastal gold mining operations in Shandong, China. Research on water in subway systems introduced classifications for the types of mine groundwater and then established the functions used to identify each type of water sample. We analyzed 31 water samples from -375 m underground using multivariate statistical analysis methods. Cluster analysis combined with principle component analysis and factor analysis divided water samples into two types, with one type being near the F3 fault. Principal component analysis identified four principle components accounting for 91.79% of the total variation. These four principle components represented almost all the information about the water samples, which were then used as clustering variables. A Bayes model created by discriminant analysis demonstrated that water samples could also be divided into two types, which was consistent with the cluster analysis result. The type of water samples could be determined by placing Na+ and CHO3- concentrations of water samples into Bayes functions. The results demonstrated that F3, which is a regional fault and runs across the whole Xishan gold mine, may be the potential channel for water inrush, providing valuable information for predicting the possibility of water inrush and thus reducing the costs of the mining operation.
WOS关键词PRINCIPAL-COMPONENT ANALYSIS ; SOURCE IDENTIFICATION ; STABLE-ISOTOPES ; GROUNDWATER ; CHEMISTRY ; CONNECTIVITY ; QUALITY ; REGION ; BASIN
资助项目National Key Research Projects of China[2016YFC0402802] ; National Science Foundation of China[41772341]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000473753700115
出版者MDPI
资助机构National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/92691]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Ma, Fengshan
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Guowei,Ma, Fengshan,Liu, Gang,et al. Application of Multivariate Statistical Analysis to Identify Water Sources in A Coastal Gold Mine, Shandong, China[J]. SUSTAINABILITY,2019,11(12):17.
APA Liu, Guowei,Ma, Fengshan,Liu, Gang,Zhao, Haijun,Guo, Jie,&Cao, Jiayuan.(2019).Application of Multivariate Statistical Analysis to Identify Water Sources in A Coastal Gold Mine, Shandong, China.SUSTAINABILITY,11(12),17.
MLA Liu, Guowei,et al."Application of Multivariate Statistical Analysis to Identify Water Sources in A Coastal Gold Mine, Shandong, China".SUSTAINABILITY 11.12(2019):17.

入库方式： OAI收割

来源：地质与地球物理研究所

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