QIN Xianyan, LI Yunhuai, SUN Yue, PENG Miaozhi

 

(Geological Survey of Anhui Province, Hefei 230001, China)

 

Abstract: Source apportionment of heavy metals is the crucial step for prevention or reduction of heavy metal pollution in soils. Thus, 408 topsoil samples were collected from typically agricultural region around Chaohu Lake, and contents of As, Cd, Cr, Cu, Ni, Pb and Zn in those samples were measured. Geo-accumulation index show that the pollution level of soil heavy metals is characterized by 0-1 degree. Synthesizing the results of correlation analysis, principal component analysis (PCA) and cluster analysis (CA), we can conclude that (1) Cd, Cu, Pb and Zn mainly associate with and controlled by anthropogenic activities, such as atmospheric deposition, livestock manures and inorganic fertilizers; (2) Soil parent material is the main source of Cr and Ni; and (3) As originates from not only anthropogenic activities but also soil parent material. Then, the absolute principal component scores-multiple linear regression (APCS-MLR) was used for apportioning the source of heavy metals. Results were perfectly accordance with the results of PCA and CA. The combination of multivariate statistic approaches with APCS-MLR model could be well applied in the source apportionment of heavy metals in soils.

 

Key words: Chaohu; Geo-accumulation index; principal component analysis; cluster analysis; Absolute Principal Component Scores-Multiple Linear Regression

 

EARTH AND ENVIRONMENT Vol.45, No.4, Tot No.318, 2017, Page 455-463