JEQ Journal of Natural Resources and Life Sciences Education
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Published online 2 May 2008
Published in J Environ Qual 37:780-787 (2008)
DOI: 10.2134/jeq2007.0154
© 2008 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
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TECHNICAL REPORTS

Ecological Risk Assessment

Spatial Distributions and Potential Risk Analysis of Total Soil Selenium in Guangdong Province, China

H. H. Zhanga,b,c, Z. F. Wua,c,*, C. L. Yanga, B. Xiab, D. R. Xub and H. X. Yuana

a Guangdong Inst. of Eco-environmental and Soil Sciences, 510650, Guangzhou, China
b CAS Key Lab. of Marginal Sea Geology, Guangzhou Inst. of Geochemistry, Chinese Academy of Sciences, 510640, China
c State Key Lab. of Soil and Sustainable Agriculture, Inst. of Soil Science, Chinese Academy of Sciences, 210008, Nanjing, China

* Corresponding author (hhzhang{at}soil.cn; zfwu{at}soil.cn).

Received for publication March 27, 2007. A total of 260 soil profiles were examined to investigate the spatial distribution of total soil selenium (Se) in Guangdong province, China. In the investigated area, the soil Se concentrations follow an approximately lognormal distribution. The soil Se geometric mean concentration of 0.23 mg kg–1 is higher than that of Chinese soils; however, Se concentration varies over the study area. The baseline concentration of 0.13 to 0.41 mg kg–1 indicates that the soil Se concentration is mostly in the range of deficiency to medium level for surface soils in Guangdong province. In A-, B-, and C-horizon, soil Se spatial distribution is correlated with the nature of the parent material, with high Se concentration mainly located in limestone and sandshale areas and low Se concentration associated with purple shale and granite areas. The spatial distribution pattern of soil Se concentrations suggests that potential Se deficiency may be an issue for human health in this province. Moreover, due to soil degradation and erosion, calculated soil Se exported into surrounding waters could reach approximately 23,000 kg yr–1 in the study area.

Abbreviations: GM, geometric mean • GSD, geometric standard deviation







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