Multiple linear regression models calculated from readily obtainable chemical and physical parameters can explain a high percentage (70 per cent or greater) of observed sediment-trace element variance for Cu, Zn, Pb, Cr, Ni, Co, As, Sb, Se, and Hg in a widely divergent suite of 60 sediment samples. The geochemical parameters included in the models were of physical (e.g. grain size, surface area) and a chemical (e.g. organic matter, amorphous iron oxides) nature. Comparison between actual and predicted trace element concentrations obtained from the models may provide a means of defining "average' sediment trace element concentrations. -from Authors
Additional publication details
Publication type:
Article
Publication Subtype:
Journal Article
Title:
The prediction of aquatic sediment-associated trace element concentration using selected geochemical factors