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The Spatial Distribution of Soil Heavy Metals and Variation Characteristics of Datong Abandoned Coal Mine Area in Huainan City
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摘要


     The ecological restoration of abandoned coal area in Huainan, Anhui has great significance. This arti cle describes the analysis of heavy metals in soil sampled from Datong abandoned mining area in Huainan City. Spatial interpolation in GIS is applied to the revelation of spatial distribution of heavy metals. Results show that 1 In average, concentration of 5 heavy metal elements exceed the background values by 2.000- 36.300 times, in which Cd is the most significant, followed by Hg, Cr and Pb, and the concentration of Cu is relatively smaller. Soils of chemical plant and surrounding area were severely contaminated, and the soils of coal gangue pile and surrounding area were heavily polluted. 2 Wastewater of the former chemical plant and coal gangue were the main pollution sources of Hg and Cd, and they were both accumulated in soil depth of 20-30 cm. Wastewater of the former chemical plant was the pollution sources of Cr, and Cr was accumulated in soil depth of 0-10 cm. Wastewater of the former chemical plant and coal gangue were the pollution sources of Pb and Cu, and they were accumulated in soil depth of 20-30 cm and 0-10 cm respectively. 3 The heavy metals from coal gangue were accumulated in soil depth of 20-30 cm, and the heavy metals from wastewater of the former chemical plant were accumulated in soil depth of 0-10 cm. 4 Positive correlation between con centrations of most heavy metals was significant, it was speculated that most heavy metals were mainly from the same materials. There was a significant positive correlation between Hg, Cd and organic matter, nitrogen, available phosphorus, and a significant negative correlation between Cr, Pb and organic matter, nitrogen, avail able phosphorus. 5 Distribution of these heavy metals presented a stronger spatial relevance because their spa tial pattern were mainly influenced by natural factors such as the soil parent material, climate, topography and other structural factors. All of spatial variability was small scale. Characteristic of spatial variation was relation with the complex distribution object.

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