期刊论文详细信息
MARINE POLLUTION BULLETIN 卷:159
Multiple regression analysis to assess the contamination with metals and metalloids in surface sediments (Aveiro Lagoon, Portugal)
Article
Stoichev, Teodor1  Coelho, Joao Pedro2  De Diego, Alberto3  Valenzuela, Maria Gabriela Lobos4  Pereira, Maria Eduarda5,6  de Chanvalon, Aubin Thibault7  Amouroux, David7 
[1] Univ Porto, Interdisciplinary Ctr Marine & Environm Res CIIMA, Ave Gen Norton de Matos S-N, P-4450208 Matosinhos, Portugal
[2] Univ Aveiro, Dept Biol, CESAM Ctr Environm & Marine Studies, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[3] Univ Basque Country, Fac Sci & Technol, Dept Analyt Chem, Bilbao 48080, Spain
[4] Univ Valparaiso, Lab Analyt & Environm Chem, Inst Chem & Biochem, Valparaiso, Chile
[5] Univ Aveiro, Dept Chem, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[6] Univ Aveiro, CESAM, Campus Univ Santiago, P-3810193 Aveiro, Portugal
[7] Univ Pau & Pays Adour, Inst Sci Analyt & Physicochim Environm & Mat, UPPA E2S, CNRS,IPREM, Pau, France
关键词: Metals;    Coastal lagoon;    Sediments;    Multiple regression model;    Contamination;    Enrichment factor;   
DOI  :  10.1016/j.marpolbul.2020.111470
来源: Elsevier
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【 摘 要 】

An innovative multiple regression analysis was used to evaluate metal/metalloid contamination in the surface sediments of a coastal lagoon. The concentrations of metals/metalloids were represented as a function of geochemical characteristics of the sediments (fine fraction, concentrations of organic carbon, Ca, Al, Mn) and distances between sampling points. The effect of distances on the concentrations were negligible for Li, Co, Ni, Ba, V, Cr, and only geochemical variables specific for each element explained its spatial variation. The concentrations of As, Cu, Zn and Pb were influenced by both geochemical and geographical distance variables, the latter representing the anthropogenic influence and the extent of transport of contaminants away from the upstream source. Enrichment of the sediment with Ba, As, Co, Cr and V was determined mainly by enrichment with Mn. The proposed approach is supplementary to the traditional utilization of enrichment factors, and is better suited for systems with anthropogenic influence.

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