极地研究

极地研究 ›› 2010, Vol. 21 ›› Issue (1-English): 31-45.DOI: 10.3724/SP.J.1085.2010.00031

• 研究论文 • 上一篇    下一篇

Feasibility of using reflectance spectroscopy for the analysis of bioelement concentrations in Antarctic ornithogenic sediments

Liu Xiaodong1, Sun Jing2, Sun Liguang1, Liu Wenqi3 and Wang Yuhong4   

  1. 1 Institute of Polar Environment, University of Science and Technology of China, Hefei 230026, China;
    2 Department of Earth Sciences, Dartmouth College, Hanover, NH 03755, USA;
    3 Instruments' Center for Physical Science, University of Science and Technology of China, Hefei 230026, China;
    4 National Institutes of Health, Bethesda, MD, 20892, USA
  • 出版日期:1960-03-30 发布日期:1960-03-30
  • 通讯作者: Liu Xiaodong

Feasibility of using reflectance spectroscopy for the analysis of bioelement concentrations in Antarctic ornithogenic sediments

Liu Xiaodong1, Sun Jing2, Sun Liguang1, Liu Wenqi3 and Wang Yuhong4   

  1. 1 Institute of Polar Environment, University of Science and Technology of China, Hefei 230026, China;
    2 Department of Earth Sciences, Dartmouth College, Hanover, NH 03755, USA;
    3 Instruments' Center for Physical Science, University of Science and Technology of China, Hefei 230026, China;
    4 National Institutes of Health, Bethesda, MD, 20892, USA
  • Online:1960-03-30 Published:1960-03-30
  • Contact: Liu Xiaodong

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摘要：

Compared with traditional chemical analysis methods, reflectance spectroscopy has the advantages of speed, minimal or no sample preparation, non-destruction, and low cost. The present study explored the application of the reflectance spectroscopy within near ultraviolet-visible-near infrared region to predict bio-element compositions in the ornithogenic sediments from the maritime Antarctic. A total of 106 samples were taken from four ornithogenic sediment cores on the Ardley Island of Antarctica, 68 samples were used for building calibration equation, and 38 for prediction of nine bio-elements including P, Ca, Cu, Zn, Se, Sr, Ba, F and S. Three multivariate statistical analysis techniques, including stepwise multiple linear regression (Stepwise-MLR), principal component regression (PCR) and partial least squares regression (PLS) were used to develop mathematical relationships between the spectral data and the chemical reference data. The results showed that the regression models constructed by PCR and PLS models have no significant differences, and obviously supervisor to Stepwise-MLR. The correlations between spectra-predicted and chemically analyzed concentrations of nine bio-elements are statistically significant, and the concentration-versus-depth profiles predicted from reflectance spectrausing PLS calibration model are consistent with those fromactual chemical analysis. These results demonstrated the feasibility of using reflectance spectroscopy to infer bio-element concentrations in the ornithogenic sediments, and thus it is suggested that there flectance spectroscopy could provide a rapid and valuable technique to indirectly identify whether the sediments were influenced by penguin droppings in the Antarctic region.

关键词: Reflectance spectroscopy, Ornithogenic sediments, Multivariate statistical analysis, Bio-element, Antarctic

Abstract:

Compared with traditional chemical analysis methods, reflectance spectroscopy has the advantages of speed, minimal or no sample preparation, non-destruction, and low cost. The present study explored the application of the reflectance spectroscopy within near ultraviolet-visible-near infrared region to predict bio-element compositions in the ornithogenic sediments from the maritime Antarctic. A total of 106 samples were taken from four ornithogenic sediment cores on the Ardley Island of Antarctica, 68 samples were used for building calibration equation, and 38 for prediction of nine bio-elements including P, Ca, Cu, Zn, Se, Sr, Ba, F and S. Three multivariate statistical analysis techniques, including stepwise multiple linear regression (Stepwise-MLR), principal component regression (PCR) and partial least squares regression (PLS) were used to develop mathematical relationships between the spectral data and the chemical reference data. The results showed that the regression models constructed by PCR and PLS models have no significant differences, and obviously supervisor to Stepwise-MLR. The correlations between spectra-predicted and chemically analyzed concentrations of nine bio-elements are statistically significant, and the concentration-versus-depth profiles predicted from reflectance spectrausing PLS calibration model are consistent with those fromactual chemical analysis. These results demonstrated the feasibility of using reflectance spectroscopy to infer bio-element concentrations in the ornithogenic sediments, and thus it is suggested that there flectance spectroscopy could provide a rapid and valuable technique to indirectly identify whether the sediments were influenced by penguin droppings in the Antarctic region.

Key words: Reflectance spectroscopy, Ornithogenic sediments, Multivariate statistical analysis, Bio-element, Antarctic