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Resolution of the spatial variability in sediment composition within and between water-storage reservoirs using non-parametric statistical techniques

journal contribution
posted on 2023-04-03, 17:32 authored by D. S Baldwin, P Ford, D. L Nielsen
Murray-Darling Freshwater Research Centre

MDFRC item.

Non-parametric statistical techniques, specifically Multi-Dimensional Scaling (MDS), Analysis of Similarity (ANOSIM) and Similarity Percentages (SIMPER) are used to resolve the spatial variability of sediment composition based on major element distribution within and between two reservoirs in adjacent catchments which were to be used as the experimental and control sites in a de-stratification experiment. MDS analysis indicates that sediments separate into four groups, three from one dam and one from the second dam. ANOSIM analysis showed that there was a statistically significant difference between these four groups. SIMPER analysis shows that there is a high, degree of similarity for sites within each of the four groups. In all cases, greater than 60% of the similarity within each group was explained by three elements--Si, Al and Fe. However, the elements responsible for the dissimilarity between groups of sites were more variable.

History

Publication Date

1998-07-01

Journal

Water research.

Volume

32

Issue

3

Pagination

826-830

Publisher

England: Pergamon-Elsevier Science.

Data source

arrow migration 2023-03-15 20:45. Ref: f1b71f. IDs:['http://hdl.handle.net/1959.9/533157', 'latrobe:33003']

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