Int. J. Environ. Res. Public Health 2011, 8(6), 2074-2089; doi:10.3390/ijerph8062074
Article

Spatial Pattern Analysis of Heavy Metals in Beijing Agricultural Soils Based on Spatial Autocorrelation Statistics

1 Beijing Academy of Agriculture and Forestry, Beijing 100097, China 2 Department of Land Resources and Management, College of Natural Resources and Environment Science, China Agricultural University, Beijing 100193, China 3 Department of Environmental Engineering, Taiyuan University, Taiyuan 030009, China
* Author to whom correspondence should be addressed.
Received: 28 April 2011; in revised form: 25 May 2011 / Accepted: 26 May 2011 / Published: 8 June 2011
(This article belongs to the Special Issue Geostatistics in Environmental Pollution and Risk Assessment)
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Abstract: This study explored the spatial pattern of heavy metals in Beijing agricultural soils using Moran’s I statistic of spatial autocorrelation. The global Moran’s I result showed that the spatial dependence of Cr, Ni, Zn, and Hg changed with different spatial weight matrixes, and they had significant and positive global spatial correlations based on distance weight. The spatial dependence of the four metals was scale-dependent on distance, but these scale effects existed within a threshold distance of 13 km, 32 km, 50 km, and 29 km, respectively for Cr, Ni, Zn, and Hg. The maximal spatial positive correlation range was 57 km, 70 km, 57 km, and 55 km for Cr, Ni, Zn, and Hg, respectively and these were not affected by sampling density. Local spatial autocorrelation analysis detected the locations of spatial clusters and spatial outliers and revealed that the pollution of these four metals occurred in significant High-high spatial clusters, Low-high, or even High-low spatial outliers. Thus, three major areas were identified and should be receiving more attention: the first was the northeast region of Beijing, where Cr, Zn, Ni, and Hg had significant increases. The second was the southeast region of Beijing where wastewater irrigation had strongly changed the content of metals, particularly of Cr and Zn, in soils. The third area was the urban fringe around city, where Hg showed a significant increase.
Keywords: heavy metals; spatial pattern; Moran’s I statistic; Beijing agricultural soils

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MDPI and ACS Style

Huo, X.-N.; Zhang, W.-W.; Sun, D.-F.; Li, H.; Zhou, L.-D.; Li, B.-G. Spatial Pattern Analysis of Heavy Metals in Beijing Agricultural Soils Based on Spatial Autocorrelation Statistics. Int. J. Environ. Res. Public Health 2011, 8, 2074-2089.

AMA Style

Huo X-N, Zhang W-W, Sun D-F, Li H, Zhou L-D, Li B-G. Spatial Pattern Analysis of Heavy Metals in Beijing Agricultural Soils Based on Spatial Autocorrelation Statistics. International Journal of Environmental Research and Public Health. 2011; 8(6):2074-2089.

Chicago/Turabian Style

Huo, Xiao-Ni; Zhang, Wei-Wei; Sun, Dan-Feng; Li, Hong; Zhou, Lian-Di; Li, Bao-Guo. 2011. "Spatial Pattern Analysis of Heavy Metals in Beijing Agricultural Soils Based on Spatial Autocorrelation Statistics." Int. J. Environ. Res. Public Health 8, no. 6: 2074-2089.

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