About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
Journal of Sedimentary Research (SEPM)
Abstract
Spatial and Temporal Distribution of Heavy Metals in Lake Sediments Near Sleeping Bear Point, Michigan
Jeffrey T. Cline (3), Richard L. Chambers
ABSTRACT
Q-mode factor and R-mode principal components analyses were used on heavy metal (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. Factor I accounts for 77.1% of the total variation and is related to shallow-water samples with low metal concentrations. Factor H is associated with samples of high metal loading and profundal water; this factor accounts for 19.6% of the variance. Factor 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 ( = 0.05). Normalized heavy metal concentrations (weighted to grain size) show upward increasing metal concentrations in homogeneous slump units at depth suggestive of noncultural accumulations and metal 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 metal concentrations, on a time-spatial basis, are grain size dependent ( = 0.05), but heavy metal distributions in the upper 10 cm are caused by geochemical and/or physical factors resulting in the chemical gradients. The geochemical factor accounts for 11% of the variance, while the physical factor accounts for 75% of the total variance as determined by principal component analysis.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
Watermarked PDF Document: $14 | |
Open PDF Document: $24 |