中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院页岩气与地质工程重点实验室
Quantification of Water Sources in a Coastal Gold Mine through an End-Member Mixing Analysis Combining Multivariate Statistical Methods

文献类型：期刊论文

作者Liu, Guowei1,3,4; Ma, Fengshan1,3; Liu, Gang5; Guo, Jie1,3; Duan, Xueliang1,3; Gu, Hongyu2
刊名WATER
出版日期2020-02-01
卷号12期号:2页码:27
关键词mixing calculation ratios principal component analysis hierarchical cluster analysis end-member mixing analysis maximum likelihood method
DOI10.3390/w12020580
英文摘要Mixing calculations have been widely applied to identify sources of groundwater recharge, but these calculations have assumed that the concentrations of end-members are well known. However, the end-members of water remain unclear and are not easily available in practical applications. To better determine end-members and mixing ratios, an end-member mixing analysis combining multivariate statistical methods was used on a large, complex water chemistry dataset collected from the Shashandao gold mine in China. Multivariate statistical methods, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), were applied to determine the specific end-members (these two methods verified each other). On the basis of the identified end-members, a maximum likelihood method was then used to estimate the mixing ratios of the water sources. The combined method proposed in this study can help to identify more accurate end-members and deal with uncertainty in end-member concentrations, and it can also adjust the concentrations until the optimal mixing ratios for the calculation are obtained. This method can be a powerful tool for groundwater management and in predicting water inrush in mining operations.
WOS关键词CHEMISTRY ; RIVER ; SURFACE ; COMPONENTS ; MODEL ; CONTAMINATION ; CATCHMENT ; ISOTOPES ; QUALITY ; BASIN
资助项目National Science Foundation of China[41831293] ; National Science Foundation of China[41907174] ; National Key Research Projects of China[2016YFC0402802]
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000519846500271
出版者MDPI
资助机构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 ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China ; National Key Research Projects of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/95520]  
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.China Geol Survey, Chengdu Ctr, Chengdu 610081, Sichuan, Peoples R China
3.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
4.Univ Chinese Acad Sci, Coll Earth & Planetary, Beijing 100049, Peoples R China
5.China Geol Survey, Xian Ctr, Xian 710054, Shanxi, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Guowei,Ma, Fengshan,Liu, Gang,et al. Quantification of Water Sources in a Coastal Gold Mine through an End-Member Mixing Analysis Combining Multivariate Statistical Methods[J]. WATER,2020,12(2):27.
APA Liu, Guowei,Ma, Fengshan,Liu, Gang,Guo, Jie,Duan, Xueliang,&Gu, Hongyu.(2020).Quantification of Water Sources in a Coastal Gold Mine through an End-Member Mixing Analysis Combining Multivariate Statistical Methods.WATER,12(2),27.
MLA Liu, Guowei,et al."Quantification of Water Sources in a Coastal Gold Mine through an End-Member Mixing Analysis Combining Multivariate Statistical Methods".WATER 12.2(2020):27.

入库方式： OAI收割

来源：地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。