Application of chemometrics methods for the estimation of heavy metals contamination in river sediments
The concentration and speciation of six heavy metals in sediments of eight sampling sites of Haihe River were investigated. The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bou...
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| Veröffentlicht in: | Journal of environmental sciences (China) 2005, Vol.17 (4), p.540-544 |
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| creator | Wang, Ya-Wei Yuan, Chun-Gang Jin, Xing-Long Jiang, Gui-Bin |
| description | The concentration and speciation of six heavy metals in sediments of eight sampling sites of Haihe River were investigated. The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bound, iron/manganese oxide bound, sulfides and organic matter fraction and residual fraction. A multivariate statistical approach( principal component analysis, PCA) was used to evaluate the contamination of heavy metals by the total levels and chemical forms, respectively. The results showed that the total metals concentration(TMC) could not provide sufficient and accurate information because the mobility, bioavailabllity and toxicity of metals depend not only on their total concentration but also on the physicochemical form in which they occur. |
| doi_str_mv | 10.3321/j.issn:1001-0742.2005.04.003 |
| format | Article |
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The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bound, iron/manganese oxide bound, sulfides and organic matter fraction and residual fraction. A multivariate statistical approach( principal component analysis, PCA) was used to evaluate the contamination of heavy metals by the total levels and chemical forms, respectively. The results showed that the total metals concentration(TMC) could not provide sufficient and accurate information because the mobility, bioavailabllity and toxicity of metals depend not only on their total concentration but also on the physicochemical form in which they occur.</description><identifier>ISSN: 1001-0742</identifier><identifier>EISSN: 1878-7320</identifier><identifier>DOI: 10.3321/j.issn:1001-0742.2005.04.003</identifier><identifier>PMID: 16158575</identifier><language>eng</language><publisher>Netherlands: State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China%State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China</publisher><subject>China ; Freshwater ; Geologic Sediments - chemistry ; Metals, Heavy - analysis ; Water Pollutants, Chemical - analysis ; 化学计量法 ; 河流沉积 ; 浓度评估 ; 重金属污染</subject><ispartof>Journal of environmental sciences (China), 2005, Vol.17 (4), p.540-544</ispartof><rights>Copyright © Wanfang Data Co. 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The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bound, iron/manganese oxide bound, sulfides and organic matter fraction and residual fraction. A multivariate statistical approach( principal component analysis, PCA) was used to evaluate the contamination of heavy metals by the total levels and chemical forms, respectively. The results showed that the total metals concentration(TMC) could not provide sufficient and accurate information because the mobility, bioavailabllity and toxicity of metals depend not only on their total concentration but also on the physicochemical form in which they occur.</description><subject>China</subject><subject>Freshwater</subject><subject>Geologic Sediments - chemistry</subject><subject>Metals, Heavy - analysis</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>化学计量法</subject><subject>河流沉积</subject><subject>浓度评估</subject><subject>重金属污染</subject><issn>1001-0742</issn><issn>1878-7320</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0Etr3DAQB3BRWprnVyiilNzsjt5ybiHkBYFc2rORZWmtrS1tLG9Cvn20bNIcc5oB_ZjR_BH6RaBmjJLf6zrkHM8JAKlAcVpTAFEDrwHYF3RItNKVYhS-lv7dHKCjnNcAwAWI7-iASCK0UOIQrS42mzFYs4QUcfLYDm5Kk1vmYDMudUh9xj7NeBkcdnkJ0386OPP0sjNmzNimuJgpxP1riHgOT27G2fVhcnHJJ-ibL86dvtVj9Pf66s_lbXX_cHN3eXFfWUabpbKqoVIqoJIx0N4KRo3Q3HFnSNN4pvuu99b2XBNBu0523jTSeKr6TpcJmh2js_3cZxO9iat2nbZzLBvbtcut22UFvCT1ATdzetyWy9opZOvG0USXtrklDSeNUPA55EqIhuzgjze47SbXt5u5hDW_tO9hF_BzD-yQ4uoxlN91xv7zYXRtIVIyJdkrs4yQrQ</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Wang, Ya-Wei</creator><creator>Yuan, Chun-Gang</creator><creator>Jin, Xing-Long</creator><creator>Jiang, Gui-Bin</creator><general>State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China%State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China</general><general>Environmental Science and Engineering College, Nankai University,Tianjin 300071, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7QH</scope><scope>7TV</scope><scope>7UA</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2005</creationdate><title>Application of chemometrics methods for the estimation of heavy metals contamination in river sediments</title><author>Wang, Ya-Wei ; 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The metals, namely Cd, Cu, Co, Ni, Mn and Pb were considered. By using sequential extraction(SE), the total metals were divided into five fractions: exchangeable, carbonate bound, iron/manganese oxide bound, sulfides and organic matter fraction and residual fraction. A multivariate statistical approach( principal component analysis, PCA) was used to evaluate the contamination of heavy metals by the total levels and chemical forms, respectively. 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| ispartof | Journal of environmental sciences (China), 2005, Vol.17 (4), p.540-544 |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | China Freshwater Geologic Sediments - chemistry Metals, Heavy - analysis Water Pollutants, Chemical - analysis 化学计量法 河流沉积 浓度评估 重金属污染 |
| title | Application of chemometrics methods for the estimation of heavy metals contamination in river sediments |
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