DocumentCode :
3445438
Title :
Geostatistical analysis of the horizontal distribution of soil zinc in Guangdong, China
Author :
Yang, Chunlin ; Guo, Ruiping ; Liu, Rongzeng ; Yue, Qingling ; Ren, Xiujuan ; Wu, Zhifeng
Author_Institution :
Henan Inst. of Sci. & Technol., Xinxiang, China
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Spatial distributions of soil Zn concentration in three horizontal soils in Guangdong, China, were surveyed and analyzed using geostatisitic and GIS. A total of 260 soil profiles data followed an approximately lognormal distribution. The Zn geometric mean concentration of 38.4 mg/kg in surface soils is higher than that in global soils. From A- to C-horizon Zn geometric mean concentrations had an increasing tendency of 38.4, 41.9 to 45.9 mg/kg. The ordinary kriging estimates of Zn concentration were mapped. It showed higher local concentration around big city and historical mining area. The soil Zn distribution was mainly dependent on bedrock properties. The anthropogenic impact is distinguished in local areas such as mining areas, where the Zn concentration is higher than their guide value. The results showed a strong gradient of stock of Zn around the mining area.
Keywords :
geochemistry; geographic information systems; log normal distribution; mining; rocks; soil pollution; statistical analysis; zinc; China; GIS; Guangdong; Zn; bedrock properties; geostatistical analysis; kriging estimation method; lognormal distribution; mining area; soil profile data; soil zinc concentration spatial distributions; soil zinc distribution; soil zinc horizontal distribution; zinc geometric mean concentration; Distribution functions; Graphical models; Humans; Rivers; Soil; Zinc; Soil Zn; Soil distribution; Spatial analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2012.6311651
Filename :
6311651
Link To Document :
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