• DocumentCode
    3055727
  • Title

    Application of principal component analysis and cluster analysis to evaluation of black soil degradation in Jilin

  • Author

    Niu, Cencen ; Qing Wang ; Chen, Huie ; Wang, Ke ; Yuan, Xiaoqing ; Zhang, Yange

  • Author_Institution
    Coll. of Constr. Eng., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1467
  • Lastpage
    1470
  • Abstract
    The black soil region in Jilin Province is one of the main commodity grain production base in China, but its soil has began to appear degradation and destruction on different degree. With the aim to study the degradation mechanism of black soil for protecting the geo-environment, we conducted the field investigation and chose twenty-nine items, carrying out principal component analysis on twenty samples of different areas and depths in Jilin Province. Principal component analysis is used to reduce the dimension of the evaluation factor. Twenty-nine factors were classified into seven uncorrelated principal components, which reduced the complexity in analysis process.And it adopted cluster analysis method to make sorts of twenty samples into three black soil degradation grades. The result preferably coincided with practical situation of the degradation of black soil in Jilin. Some effective suggestions were proposed according to the result of soil degradation.
  • Keywords
    agricultural products; agriculture; pattern clustering; principal component analysis; soil; China; Jilin Province; agricultural soil; black soil degradation evaluation; cluster analysis method; commodity grain production; principal component analysis; Carbon; Degradation; Eigenvalues and eigenfunctions; Loading; Principal component analysis; Soil; black soil; cluster analysis; principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6003340
  • Filename
    6003340