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DETERMINATION OF BAFFIN BAY SEDIMENT COMPOSITION VARIABILITY AND PROVENANCE

Brenner, Alan R.
http://rave.ohiolink.edu/etdc/view?acc_num=kent1406745129

Abstract Details

2014, MS, Kent State University, College of Arts and Sciences / Department of Earth Sciences.
This project aims at determining down-core marine sediment composition variability from fourteen Baffin Bay cores using visible derivative spectroscopy V-PCA (Varimax-Rotated Principal Component Analysis), and Spectra-Facial Analysis (developed here.) Visible derivative spectroscopy based on diffuse spectral reflectance (DSR) data is a relatively inexpensive, non-invasive and effective method to determine the composition of gravity deposited marine sediment (Mix et al. 1995). DSR data was collected at centimeter intervals down fourteen cores recovered from James Clark Ross JR175 and CCGS Hudson 2008029 cruises using a Minolta CM2600-D Spectrophotometer. The DSR data were put through IBM SPSS Varimax Rotated Principal Component Analysis; three principal components, selected with Eigenvalues greater than one as an indication of a significant variance contribution accounted account for 93.451% of the variability in the dataset. The signals for each of the three principal components were matched to known spectral reflectance values of minerals available from the USGS digital spectral library v.6, or measured in the Kent State Paleoclimate Lab. These components agree with previous studies (Ortiz et al, 2011) and are PC1 (actinolite+goethite), PC2 (dolomite+illite), and PC3 (chlorite+muscovite). Spectra - Facies analysis involves scaling down-core PC scores for these principal components by shifting values into the positive quadrant (adding the absolute value of the most negative number in the dataset to each value in the dataset), and then rescaling the components from 0-100% using a percent maximum transformation. Using data from all measurements from all cores, a ternary diagram was then plotted in which each principal components resides as a vertex of the ternary diagram. Twenty-five triangular regions, i.e. spectrafacies, together lie within ternary plot filter and define the composition of the sediments in rotated DSR space.
Joseph Ortiz, Dr. (Advisor)
Neil Wells, Dr. (Committee Member)
Alison Smith, Dr. (Committee Member)
99 p.
Geology; Geophysical; Marine Geology
Baffin Bay; sediment cores; VNIR spectroscopy; principal components; spectra-facies

Recommended Citations

Citations

  • Brenner, A. R. (2014). DETERMINATION OF BAFFIN BAY SEDIMENT COMPOSITION VARIABILITY AND PROVENANCE [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1406745129

    APA Style (7th edition)

  • Brenner, Alan. DETERMINATION OF BAFFIN BAY SEDIMENT COMPOSITION VARIABILITY AND PROVENANCE . 2014. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1406745129.

    MLA Style (8th edition)

  • Brenner, Alan. "DETERMINATION OF BAFFIN BAY SEDIMENT COMPOSITION VARIABILITY AND PROVENANCE ." Master's thesis, Kent State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1406745129

    Chicago Manual of Style (17th edition)

kent1406745129
275
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This open access ETD is published by Kent State University and OhioLINK.