File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Multivariate statistical evaluation of trace elements in groundwater in a coastal area in Shenzhen, China

TitleMultivariate statistical evaluation of trace elements in groundwater in a coastal area in Shenzhen, China
Authors
Issue Date2007
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envpol
Citation
Environmental Pollution, 2007, v. 147 n. 3, p. 771-780 How to Cite?
AbstractMultivariate statistical techniques are efficient ways to display complex relationships among many objects. An attempt was made to study the data of trace elements in groundwater using multivariate statistical techniques such as principal component analysis (PCA), Q-mode factor analysis and cluster analysis. The original matrix consisted of 17 trace elements estimated from 55 groundwater samples colleted in 27 wells located in a coastal area in Shenzhen, China. PCA results show that trace elements of V, Cr, As, Mo, W, and U with greatest positive loadings typically occur as soluble oxyanions in oxidizing waters, while Mn and Co with greatest negative loadings are generally more soluble within oxygen depleted groundwater. Cluster analyses demonstrate that most groundwater samples collected from the same well in the study area during summer and winter still fall into the same group. This study also demonstrates the usefulness of multivariate statistical analysis in hydrochemical studies. © 2006 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/72725
ISSN
2015 Impact Factor: 4.839
2015 SCImago Journal Rankings: 2.045
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Ken_HK
dc.contributor.authorJiao, JJen_HK
dc.contributor.authorHuang, Jen_HK
dc.contributor.authorHuang, Ren_HK
dc.date.accessioned2010-09-06T06:44:31Z-
dc.date.available2010-09-06T06:44:31Z-
dc.date.issued2007en_HK
dc.identifier.citationEnvironmental Pollution, 2007, v. 147 n. 3, p. 771-780en_HK
dc.identifier.issn0269-7491en_HK
dc.identifier.urihttp://hdl.handle.net/10722/72725-
dc.description.abstractMultivariate statistical techniques are efficient ways to display complex relationships among many objects. An attempt was made to study the data of trace elements in groundwater using multivariate statistical techniques such as principal component analysis (PCA), Q-mode factor analysis and cluster analysis. The original matrix consisted of 17 trace elements estimated from 55 groundwater samples colleted in 27 wells located in a coastal area in Shenzhen, China. PCA results show that trace elements of V, Cr, As, Mo, W, and U with greatest positive loadings typically occur as soluble oxyanions in oxidizing waters, while Mn and Co with greatest negative loadings are generally more soluble within oxygen depleted groundwater. Cluster analyses demonstrate that most groundwater samples collected from the same well in the study area during summer and winter still fall into the same group. This study also demonstrates the usefulness of multivariate statistical analysis in hydrochemical studies. © 2006 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/envpolen_HK
dc.relation.ispartofEnvironmental Pollutionen_HK
dc.subject.meshAnions - analysisen_HK
dc.subject.meshChinaen_HK
dc.subject.meshCluster Analysisen_HK
dc.subject.meshEnvironmental Monitoring - methodsen_HK
dc.subject.meshFactor Analysis, Statisticalen_HK
dc.subject.meshFresh Water - analysis - chemistryen_HK
dc.subject.meshOxidation-Reductionen_HK
dc.subject.meshOxygen - analysisen_HK
dc.subject.meshPrincipal Component Analysis - methodsen_HK
dc.subject.meshSeasonsen_HK
dc.subject.meshTrace Elements - analysisen_HK
dc.subject.meshWater Pollutants, Chemical - analysisen_HK
dc.titleMultivariate statistical evaluation of trace elements in groundwater in a coastal area in Shenzhen, Chinaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0269-7491&volume=147 &issue=3&spage=771&epage=780 &date=2007&atitle=Multivariate+statistical+evaluation+of+trace+elements+in+groundwater+in+a+coastal+area+in+Shenzhen,+China+en_HK
dc.identifier.emailJiao, JJ:jjiao@hku.hken_HK
dc.identifier.authorityJiao, JJ=rp00712en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.envpol.2006.09.002en_HK
dc.identifier.pmid17134805-
dc.identifier.scopuseid_2-s2.0-34247877650en_HK
dc.identifier.hkuros138082en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34247877650&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume147en_HK
dc.identifier.issue3en_HK
dc.identifier.spage771en_HK
dc.identifier.epage780en_HK
dc.identifier.isiWOS:000246922000042-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChen, K=16300521600en_HK
dc.identifier.scopusauthoridJiao, JJ=7102382963en_HK
dc.identifier.scopusauthoridHuang, J=16301268500en_HK
dc.identifier.scopusauthoridHuang, R=7402950523en_HK
dc.identifier.citeulike10452578-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats