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Heavy metal contamination and source in arid agricultural soil in central Gansu Province, China
Authors:LI Yu  GOU Xin  WANG Gang  ZHANG Qiang  SU Qiong and XIAO Guoju
Institution:1. School of Chemical Engineering, Northwest University for Nationalities, Lanzhou 730000, China;Institute of Arid Meteorology, China Meteorological Administration, Gansu Key Laboratory of Arid Climate Changes and Disaster Reduction, Lanzhou 730020, China
2. Key laboratory of Arid and Grassland Ecology, Ministry of Education, Lanzhou University, Lanzhou 730000, China
3. Institute of Arid Meteorology, China Meteorological Administration, Gansu Key Laboratory of Arid Climate Changes and Disaster Reduction, Lanzhou 730020, China
4. School of Chemical Engineering, Northwest University for Nationalities, Lanzhou 730000, China
Abstract:Concentrations of copper (Cu), lead (Pb), chromium (Cr), mercury (Hg), and arsenic (As) were measured in arid agricultural and irrigated agricultural soils collected in Daba Village, Shajiawuan Village, Gangou Village and Sifangwu Village, located in central Gansu Province, China. Concentrations except Hg and Pb were lower than the background values in grey calcareous soil in the selected arid agricultural soils. Pb concentration exceeded the threshold of arid agricultural soils in China by 72. 46%. These results showed that there was indeed serious pollution with Pb, a slight pollution problem for other selected metals in the irrigated agricultural soils in Daba Village. Principal component analysis (PCA) was used to assess the soil data, applying varimax rotation with Kaiser Normalization. The result showed that the irrigated factor, agricultural factor and anthropogenic factor all contributed to the relations between selected chemical properties. The main factor of accumulation of Cu, Pb, Cr, Hg and As was lithological factor in arid agricultural areas. There is a striking dissimilarity of origin of Cu, Pb, Cr, Hg and As in agricultural soil between the irrigate agriculture and arid agriculture.
Keywords:arid agricultural area  irrigate agriculture  principal component analysis (PCA)
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