DocumentCode :
3445886
Title :
Using indicator kriging to delineate and map the spatial patterns of zinc soil pollution
Author :
Fengrui Chen ; Yu Liu ; Shujun Yang
Author_Institution :
Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
fYear :
2013
fDate :
20-22 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Mapping heavy metal pollution in soil is essential for environmental monitoring. Kriging is often used to characterize the spatial variability of heavy metal. However, due to its smooth effects, it is incapable of detecting the uncertainty of estimates. In this study, the indicator kriging was used to map the uncertainty of the estimate, and to provide the probability of pollution risk. Eight hundred and thirty nine samples were analyzed, according to the accumulating pollution index and the background value. Three thresholds which classified Zn pollution risk into safe, low, moderate and high levels were adopted. The result showed that there is high Zn content in the soil of the study area. Its mean reached 86.7 mg/kg, larger than the background value (80.3 mg/kg), which mainly resulted from the nearby Zn mine. The probability map indicated that the pollution risk were chiefly low and moderate levels, and the closer the distance to Zn mine, the greater the probability values.
Keywords :
environmental monitoring (geophysics); geophysical techniques; probability; soil pollution; statistical analysis; Zn; Zn mine; Zn pollution risk; environmental monitoring; heavy metal pollution; high Zn content; indicator kriging; pollution index; probability map; probability values; spatial patterns; spatial variability; zinc soil pollution; Distribution functions; Graphical models; Pollution; Soil; Uncertainty; Zinc; Geostatistics; Heavy metal; Indicator kriging; Soil pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
ISSN :
2161-024X
Type :
conf
DOI :
10.1109/Geoinformatics.2013.6626102
Filename :
6626102
Link To Document :
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