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A Multivariate Mixing Model for Identifying Sediment Source from Magnetic Measurements

Published online by Cambridge University Press:  20 January 2017

Lizhong Yu  and
Frank Oldfield
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Abstract

A sequential method for quantitative identification of sediment source components, based on magnetic measurements, has been developed and tested for sediments from the Rhode River, Maryland. Simulated mixing tests and multiple regression were employed to establish numerical relationships between source component proportions and the magnetic measurements of mixtures. On the basis of these multivariate mixing models, source components of three estuarine sediment cores were estimated by linear programming. The results strongly support the previous studies on this catchment which indicated a dramatic change in sediment source some 150 to 200 yr ago. Quantitative calculations are more useful and informative than purely qualitative descriptions.

Type
Research Article
Information
Quaternary Research , Volume 32 , Issue 2 , September 1989 , pp. 168 - 181
Copyright
University of Washington

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References

Belbin, L., (1987). PATN (Pattern Analysis Package) Reference Manual CSIRO, Division of Wildlife and Rangelands Research Canberra Google Scholar
Brush, G.L. Martin, E.A. De Fries, R.S. Rice, C.A., (1982). Comparison of 210Pb and pollen methods for determining rates of estuarine sediment accumulation Quaternary Research 18, 196–217 CrossRefGoogle Scholar
Donoghue, J.F., (1981). Estuarine Sediment Transport and Holocene Depositional History, Upper Chesapeake Bay Unpublished Ph.D. Thesis University of Southern California Google Scholar
Freund, R.J. Minton, P.D., (1979). Regression Methods Dekker New York Google Scholar
Lev, B. Weiss, H.J., (1982). Introduction to Mathematical Programming: Quantitative Tools for Decision Making Arnold London Google Scholar
Maher, B.A., (1988). Magnetic properties of some synthetic sub-micron magnetites Geophysical Journal 94, 83–96 CrossRefGoogle Scholar
Oldfield, F., (1983). Man's impact on the environment Geography 68, 245–256 Google Scholar
Oldfield, F. Appleby, P. G., and Maher, B. A. (in press). Sediment source variations and lead-210 inventories in recent Potomac estuary sediment cores. Journal of Quaternary Science .CrossRefGoogle Scholar
Oldfield, F. Rummery, T.A. Thompson, R. Walling, D.E., (1979). Identification of suspended sediment sources by means of magnetic measurements: Some preliminary results Water Resources Research 15, 211–218 CrossRefGoogle Scholar
Oldfield, F. Maher, B.A. Donoghue, J. Pierce, J., (1985). Particle size related, mineral magnetic source sediment linkage in the Rhode River Catchment, Maryland, USA Journal of Geological Society 142, 1035–1046 CrossRefGoogle Scholar
Stott, A.P., (1986). Sediment tracing in a reservoircatchment system using a magnetic mixing model Physics of the Earth and Planetary Interiors 42, 105–112 CrossRefGoogle Scholar
Thompson, R., (1986). Modelling magnetization data using SIMPLEX Physics of the Earth and Planetary Interiors 42, 113–127 CrossRefGoogle Scholar
Thompson, R. Oldfield, F., (1986). Environmental Magnetism Allen & Unwin London CrossRefGoogle Scholar
Walling, D.E. Peart, M.R. Oldfield, F. Thompson, R., (1979). Suspended sediment sources identified by magnetic measurements Nature (London) 218, 110–113 Google Scholar
Yu, L., (1989). Environmental applications of mineral magnetic measurement: Towards a quantitative approach Unpublished Ph.D. Thesis University of Liverpool Google Scholar
Zhang, C. Yang, B., (1985). Chinese Edition Quantitative Geography Higher Education Publishing House Beijing Google Scholar