Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/S0003-2670(03)00350-7 |
Factor analytical approaches for evaluating groundwater trace element chemistry data | |
Farnham, IM; Johannesson, KH; Singh, AK; Hodge, VF; Stetzenbach, KJ | |
通讯作者 | Farnham, IM |
来源期刊 | ANALYTICA CHIMICA ACTA
![]() |
ISSN | 0003-2670 |
出版年 | 2003 |
卷号 | 490期号:1-2页码:123-138 |
英文摘要 | The multivariate statistical techniques principal component analysis (PCA), Q-mode factor analysis (QFA), and correspondence analysis (CA) were applied to a dataset containing trace element concentrations in groundwater samples collected from a number of wells located downgradient from the potential nuclear waste repository at Yucca Mountain, Nevada. PCA results reflect the similarities in the concentrations of trace elements in the water samples resulting from different geochemical processes. QFA results reflect similarities in the trace element compositions, whereas CA reflects similarities in the trace elements that are dominant in the waters relative to all other groundwater samples included in the dataset. These differences are mainly due to the ways in which data are preprocessed by each of the three methods. The highly concentrated, and thus possibly more mature (i.e. older), groundwaters are separated from the more dilute waters using principal component 1 (PC 1). PC 2, as well as dimension 1 of the CA results, describe differences in the trace element chemistry of the groundwaters resulting from the different aquifer materials through which they have flowed. Groundwaters thought to be representative of those flowing through an aquifer composed dominantly of volcanic rocks are characterized by elevated concentrations of Li, Be, Ge, Rb, Cs, and Ba, whereas those associated with an aquifer dominated by carbonate rocks exhibit greater concentrations of Ti, Ni, Sr, Rh, and Bi. PC 3, and to a lesser extent dimension 2 of the CA results, show a strong monotonic relationship with the percentage of As(III) in the groundwater suggesting that these multivariate statistical results reflect, in a qualitative sense, the oxidizing/reducing conditions within the groundwater. Groundwaters that are relatively more reducing exhibit greater concentrations of Mn, Cs, Co, Ba, Rb, and Be, and those that are more oxidizing are characterized by greater concentrations of V, Cr, Ga, As, W, and U. (C) 2003 Elsevier Science B.V. All rights reserved. |
英文关键词 | correspondence analysis principal component analysis Q-mode factor analysis trace element chemistry |
类型 | Article ; Proceedings Paper |
语种 | 英语 |
国家 | USA |
收录类别 | CPCI-S ; SCI-E |
WOS记录号 | WOS:000185047900011 |
WOS关键词 | DISSOLVED VANADIUM ; NATURAL-WATERS ; OASIS VALLEY ; NEVADA ; SEDIMENTARY ; BEHAVIOR ; URANIUM ; SYSTEM ; OCEAN ; USA |
WOS类目 | Chemistry, Analytical |
WOS研究方向 | Chemistry |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/144063 |
作者单位 | (1)Univ Nevada, Harry Reid Ctr Environm Studies, Las Vegas, NV 89154 USA;(2)Univ Texas, Dept Geol, Arlington, TX 76019 USA;(3)Univ Nevada, Dept Math Sci, Las Vegas, NV 89154 USA;(4)Univ Nevada, Dept Chem, Las Vegas, NV 89154 USA |
推荐引用方式 GB/T 7714 | Farnham, IM,Johannesson, KH,Singh, AK,et al. Factor analytical approaches for evaluating groundwater trace element chemistry data[J],2003,490(1-2):123-138. |
APA | Farnham, IM,Johannesson, KH,Singh, AK,Hodge, VF,&Stetzenbach, KJ.(2003).Factor analytical approaches for evaluating groundwater trace element chemistry data.ANALYTICA CHIMICA ACTA,490(1-2),123-138. |
MLA | Farnham, IM,et al."Factor analytical approaches for evaluating groundwater trace element chemistry data".ANALYTICA CHIMICA ACTA 490.1-2(2003):123-138. |
条目包含的文件 | 条目无相关文件。 |
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。