Spatial Distribution of Heavy Metals in Soybean Plantation Soils in Central Sanjiang Plain

Article Preview

Abstract:

Monitoring and analysis of the content of five heavy metals (i.e., Cd, Hg, As, Pb and Cr) in soybean plantation soils in central Sanjiang plain were conducted using the geographic information system (GIS). Statistical analysis indicated, strong intensities of spatial correlation among As, Cr, and Pb, whereas moderate intensities of spatial correlation were observed between Cd and Hg. Therefore, the content and the spatial distribution of the heavy metals are primarily affected by the parent material, topography, soil properties, and other internal factors. However, the effect of external factors, such as industrial pollution, farming methods, as well as the application of pesticide and fertilizer, should also be investigated.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3174-3178

Citation:

Online since:

July 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hongzhi Cao, Jianmin Zhou: Soil quality of China[M], Beijing Science Publishing House. 2008, 111-158.

Google Scholar

[2] Sobolev EV, LT Kovekovdova:Lead in Soil and Plants and the City of Ussuriysk Ussuriysk district, Investigated in Russia, 182/031101, with. 2188-2195, http: /zhurnal. ape. relarn. ru/articles/2003/182. pdf.

Google Scholar

[3] Dimidenok JA, Harina SG:Concentrations of Heavy Metals in Soils and Products Crop in the Southern Zone of the Middle Amur, Investigated in Russia, 039/050112, with. 419-428. http: /zhurnal. ape. relarn. ru/articles/2005/039. pdf.

Google Scholar

[4] Guan Lin Guo, Qi Xing Zhou: Contaminative Trends of Heavy Metals in Phaiozem of Northeast China, Journal of the Graduate School of the Chinese Academy of Science, 2004, 21(3): 386-392.

Google Scholar

[5] Zhengquan Wang: Ge-statistics and Its Application in Ecology[M], Beijing Science Publishing House. 1999. 102-149.

Google Scholar

[6] Ren-duo Zhang: Spacial variogram theory and application, Beijing Science Publishing House. 2005. 13-51.

Google Scholar

[7] Tie yu Wang, Jing kuan Wang, Min Zhou, etal: Local Variation and Environmental Risk of Heavy Metals in Black Soils from the Northeast of China, Journal of Agro-environmental Science, 2004, 23(2): 272-276.

Google Scholar

[8] Huicong Cao, Jinda Wang, Xuelin Zhang: Study on the Association between Heavy Metals and Organic Matter in Polluted Black Soil in Northeast China, Research of Environmental Sciences, 2007, 20(1): 36-41.

Google Scholar

[9] Dan WEI, Fengqin Chi, Wenjiao Shi, etal: Spatial Variability of Heavy Metals in Soils in the Southern Black soil Area of Heilongjiang Province, System Sciences and Comprehensive Studies in Agriculture, 2007, 23(1): 65-68.

Google Scholar

[10] Haiwen Li, Zhenlou Chen, etal: Research of spatial variability of heavy metal pollution of dust in Shanghai urban area based on the GIS, Acta Scientiae Circumstantiae, 2007, 27(5). 804-809.

Google Scholar

[11] Limei Cai, Jin Ma, Yongzhang Zhou, et al: Multivariate Geostatistics and GIS-based Approach to Study the Spatial Distribution and Sources of Heavy Metals in Agricultural Soil in the Pearl River Delta, China[J], Environmental Science, 2008, (12): 3497-3501.

Google Scholar