
Proceedings Paper
Geostatistical analysis of the horizontal distribution of soil lead Guangdong, ChinaFormat | Member Price | Non-Member Price |
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Paper Abstract
The spatial distributions of soil lead 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 Pb geometric mean concentration of 23.3 mg/kg in surface soils is higher than that in global soils. From A- to
C-horizon Pb geometric mean concentrations had an increasing tendency of 23.3, 27.2 to 28.6 mg/kg. The ordinary point
kriging estimates of Pb concentration were mapped. It showed higher local concentration around big city and historical
mining area. The soil lead distribution was mainly dependent on bedrock properties. The anthropogenic impact is
distinguished in local areas such as some big cities and mine areas, where the lead concentration is higher than their guide
value. The results showed a strong gradient of anthropogenic stock of Pb around the Guangzhou urban area.
Paper Details
Date Published: 3 November 2008
PDF: 9 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714512 (3 November 2008); doi: 10.1117/12.813016
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
PDF: 9 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714512 (3 November 2008); doi: 10.1117/12.813016
Show Author Affiliations
C. L. Yang, Guangzhou Institute of Geochemistry (China)
Guangdong Institute of Eco-environment and Soil Science (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Z. F. Wu, Guangdong Institute of Eco-Environment and Soil Science (China)
H. H. Zhang, Guangdong Institute of Eco-Environment and Soil Science (China)
J. Cheng, Guangdong Institute of Eco-Environment and Soil Science (China)
Guangdong Institute of Eco-environment and Soil Science (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Z. F. Wu, Guangdong Institute of Eco-Environment and Soil Science (China)
H. H. Zhang, Guangdong Institute of Eco-Environment and Soil Science (China)
J. Cheng, Guangdong Institute of Eco-Environment and Soil Science (China)
P. Liu, Guangdong Institute of Eco-Environment and Soil Science (China)
X. N. Liu, Guangdong Institute of Eco-Environment and Soil Science (China)
R. P. Guo, Graduate Univ. of Chinese Academy of Sciences (China)
J. H. Zhang, Guangdong Institute of Eco-Environment and Soil Science (China)
X. N. Liu, Guangdong Institute of Eco-Environment and Soil Science (China)
R. P. Guo, Graduate Univ. of Chinese Academy of Sciences (China)
J. H. Zhang, Guangdong Institute of Eco-Environment and Soil Science (China)
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
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