• DocumentCode
    2876152
  • Title

    Comment on Assessing Methods for Arable Land Soil Heavy Metals Contamination

  • Author

    Wang Dengfeng ; Wei Zhiyuan ; Lv Liewu ; Qi Zhiping

  • Author_Institution
    Key Lab. of Crop Gene Resources & Germplasm Enhancement, Southern China Minist. of Agric., Danzhou, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The assessment methods of heavy metals pollution in soil, which are Set Pair Analysis, Index of Geoaccumulation and Principal Component Analysis, have commented in this study. Set Pair Analysis can obtain the comprehensive contamination levels of heavy metals in soil based on the distribution of contents of heavy metals in research soil. Similar with the SPA, the method of Principal Component Analysis can assess the comprehensive pollution levels of heavy meals in soil, and can identify the main pollution factor in soil based on the eigenvalues of principal components and the concentration of heavy metals in soil. The technique of Index of Geoaccumulation is a single factor assessing methods, which reflect the relative pollution levels of each trace element in study area objectively. The combination of comprehensive assessing methods and single factor analysis can reflect the real pollution conditions of heavy metals in soil well.
  • Keywords
    geochemistry; geophysical techniques; principal component analysis; soil pollution; arable land soil heavy metal contamination; assessment methods; geoaccumulation index; heavy metal contamination levels; heavy metal content distribution; heavy metal pollution conditions; heavy metal pollution levels; principal component analysis; set pair analysis; Contamination; Indexes; Metals; Pollution; Principal component analysis; Soil; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260437
  • Filename
    6260437