A multivariate sedimentary environmental analysis of Great South Bay and South Oyster Bay, New York |
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| Authors: | Syed A Ali Richard H Lindemann and Peter H Feldhausen |
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| Institution: | (1) Department of Geology and Geophysics, Woods Hole Oceanographic Institution, 02543 Woods Hole, Massachusetts, USA;(2) Department of Geology, Rensselaer Polytechnic Institute, 12180 Troy, New York, USA;(3) Dames & Moore, 1550 Northwest Highway, 60068 Park Ridge, Illinois, USA |
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| Abstract: | A multivariate statistical strategy for classifying paleoenvironments is effective for studying modern sedimentary processes in western Great South Bay and South Oyster Bay, New York. The 13 whole phi weight percent variables were tested for redundancy with R-mode cluster analysis. The samples were partitioned statistically into five environmentally significant facies using Q-mode cluster analysis: (A)sandy gravel, (B)sandy silt, (C)silty sand, (D)slightly gravelly sand, and (E)fine sand. An ordination depicted gradational relationships among the samples and the facies. It was used to evaluate the environmental and textural parameter gradients within the sample space. Interpretations obtained in this manner and by examination of the grain-size curves suggest that these sediments were deposited by waves and currents on beaches and in wave zones (facies C and E),shoal areas (facies B),and tidal channels (facies A and D).Tidal currents, wave action, and eelgrass control the distribution of sediments within the two bays. |
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| Keywords: | classification cluster analysis discriminant analysis ordination analysis grain size sedimentology |
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