Paper

Integrating Landuse with Heavy Metals as Indicators of Anthropogenic Disturbances on Chinese Yellow Sea Coast


Authors:
Z. Zheng; H.H. Pang; S.B. Fang
Abstract
An approach which integrating the landuse patterns gotten from the landuse data and heavy metal contents of the top 10 cm surface soil layer samplings together, was proposed to detect the indicators of human disturbances within the Yellow Sea coast in China. We proposed a human impact index (HII) using the landuse data to model the human disturbances in each statistical window; the 83 soil samples within the human-dominated landscape in the coast were used as the centers of the circle plots. Heavy metal contents of the soil samples were gained using the inductivelycoupled plasma atomic emission spectrometry (ICP-AES). The multivariate statistics (principle component analysis (PCA), cluster analysis (CA), and correlation matrix) of the 10 heavy metals, Cr, Co, Fe, Mn, Ni, V, Zn, Cu, Ti, and Sr, were done. Curve estimation between HII and heavy metals was also done lastly. The results showed that: (1) PCA showed heavy metals were grouped into a two-component model,which accounted for 78% of all the data variation. The first PC (PC1, variance of 65%) included Cr, Cu, Fe, Mn, Ni, V, Zn, and Co, while the second PC (PC2, variance of 13%) wasconstituted by Sr; (2) CA revealed three clusters of elements: the first one (C1)included elements contained the(Cr, Cu, Fe, Mn, Ni, V, Zn, and Co)that were interpreted as anthropogenic elements, while the second one (C2) Sr and the third one (C3) Ti could be taken as natural or other sources elements; (3) the correlationanalysis showed that the anthropogenic induced metalswere significantly correlated with each other; and (4) from the curve estimation between HII and heavy metals, we found Cr, Co, Fe, Mn, and Ni might the indicators of human disturbances in the Yellow Sea coast.
Keywords
Indicators; Landuse; Heavy Metals; Human Impact Index; Coasts; Multivariate Statistics
StartPage
135
EndPage
144
Doi
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