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The AAPG/Datapages Combined Publications Database

Journal of Sedimentary Research (SEPM)


Journal of Sedimentary Petrology
Vol. 47 (1977)No. 2. (June), Pages 716-727

Spatial and Temporal Distribution of Heavy Metals in Lake Sediments Near Sleeping Bear Point, Michigan

Jeffrey T. Cline (3), Richard L. Chambers


Q-mode Previous HitfactorNext Hit and R-mode principal components analyses were used on heavy Previous HitmetalNext Hit (Mn, Co, Cr, Cu, Zn, Cd, Ag, Ni) concentration gradients, grain size and organic carbon measurements to delineate time-spatial patterns and general principles in complex data. Three Q-mode factors account for 99.5% of the variance in 39 surface samples. Previous HitFactorNext Hit I accounts for 77.1% of the total variation and is related to shallow-water samples with low Previous HitmetalNext Hit concentrations. Previous HitFactorNext Hit H is associated with samples of high Previous HitmetalNext Hit loading and profundal water; this Previous HitfactorNext Hit accounts for 19.6% of the variance. Previous HitFactorNext Hit III accounts for only 2.7% of the variance and is related to samples intermediate to factors I and II. The sediment strata (i.e., slump and varve-like features) were grouped into geochemical clusters relat d to sediment type by Q-mode cluster analysis. R-mode principal components analysis of the chemical and physical parameters within each piston core are highly correlated (^agr = 0.05). Normalized heavy Previous HitmetalNext Hit concentrations (weighted to grain size) show upward increasing Previous HitmetalNext Hit concentrations in homogeneous slump units at depth suggestive of noncultural accumulations and Previous HitmetalNext Hit migration. Simultaneous analysis of 10-cm surface cores show that Mn, Cd and Zn concentrations correlate the highest with depth of sediment, suggestive of upward migration and accumulation. The average Previous HitmetalNext Hit concentrations, on a time-spatial basis, are grain size dependent (^agr = 0.05), but heavy Previous HitmetalNext Hit distributions in the upper 10 cm are caused by geochemical and/or physical factors resulting in the chemical gradients. The geochemical Previous HitfactorNext Hit accounts for 11% of the variance, while the physical Previous HitfactorTop accounts for 75% of the total variance as determined by principal component analysis.

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