The prediction of aquatic sediment-associated trace element concentration using selected geochemical factors
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 61 sediment samples. The independent variables used in the models may be single parameters, principal component scores, or principal component scores combined with their cross-products. The most useful type of variable must be determined on a case-by-case basis.
The independent variables (geochemical parameters) incorporated in the models calculated during this study probably are applicable to many aquatic sediments; albeit, use of a larger data set (>61) could alter the magnitude of the calculated coefficients. The geochemical parameters included in the models were of a 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. In this context, the models may also help identify either naturally or anthropogenically impacted sites for additional study.
Citation Information
Publication Year | 1989 |
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Title | The prediction of aquatic sediment-associated trace element concentration using selected geochemical factors |
DOI | 10.1002/hyp.3360030406 |
Authors | A. J. Horowitz, K. A. Elrick, R. P. Hooper |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Hydrological Processes |
Index ID | 70015291 |
Record Source | USGS Publications Warehouse |