Abstract

Sediment samples from the Columbia River were analyzed for four variable sets: bulk chemistry, trace-element chemistry, bulk mineralogy, and heavy mineral content. The variable sets were analyzed by discriminant function analysis and factor analysis to determine the relationships between samples in Columbia River reservoirs as reflected in their distribution in the variable space. Other statistical studies were made to determine the relationships among the variables and changes in the variables related to position in the river and grain size. The distribution of the samples in the variable space indicates changes in the sediment which can be related to changing source areas.

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