2006
DOI: 10.1016/j.scitotenv.2005.02.026
|View full text |Cite
|
Sign up to set email alerts
|

Multivariate analysis of heavy metal contamination in urban dusts of Xi'an, Central China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

14
377
4
11

Year Published

2010
2010
2019
2019

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 1,159 publications
(406 citation statements)
references
References 43 publications
14
377
4
11
Order By: Relevance
“…The multivariate statistic method was used to reveal the associations of the chemical elements. The factor analysis (FA) from an accurate number of variables provides smaller number of new variables, so-called factors that present the association of statistical significant variables (Davis 1986;Filzmoser et al 2005;Reimann et al 2002;Š ajn 2006;Yongming et al 2006;Ž ibret and Š ajn 2010).…”
Section: Data Processingmentioning
confidence: 99%
“…The multivariate statistic method was used to reveal the associations of the chemical elements. The factor analysis (FA) from an accurate number of variables provides smaller number of new variables, so-called factors that present the association of statistical significant variables (Davis 1986;Filzmoser et al 2005;Reimann et al 2002;Š ajn 2006;Yongming et al 2006;Ž ibret and Š ajn 2010).…”
Section: Data Processingmentioning
confidence: 99%
“…2 Indeed, their components and quantity are environmental pollution indicators. 3 Metals may be accumulated in dust from atmospheric deposition by sedimentation, impaction and interception. 4 Accumulations of metals including Pb, Zn, Cd and Cu on road surfaces arise from vehicle exhausts, industrial discharges, oil lubricants, automobile parts and corrosion of building materials, asphalts, road paints, concrete, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Significant principal components (eigenvalues >1.0) were extracted from the variables based on the Kaiser Criterion (Kaiser 1960). The factor loadings were considered significant or excellent if they were >0.6 or >0.71, respectively (DelValls et al 1998;Yongming et al 2006).…”
Section: Methodsmentioning
confidence: 99%