Mapping soil pollution by spatial analysis and fuzzy classification |
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| Authors: | Roberto Wagner Lourenço Paulo M Barbosa Landim André Henrique Rosa José Arnaldo F Roveda Antonio César Germano Martins Leonardo Fernandes Fraceto |
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| Institution: | 1.Department of Environmental Engineering,S?o Paulo State University,Sorocaba,Brazil;2.Department of Applied Geology,S?o Paulo State University,Rio Claro,Brazil |
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| Abstract: | Spatial analysis and fuzzy classification techniques were used to estimate the spatial distributions of heavy metals in soil.
The work was applied to soils in a coastal region that is characterized by intense urban occupation and large numbers of different
industries. Concentrations of heavy metals were determined using geostatistical techniques and classes of risk were defined
using fuzzy classification. The resulting prediction mappings identify the locations of high concentrations of Pb, Zn, Ni,
and Cu in topsoils of the study area. The maps show that areas of high pollution of Ni and Cu are located at the northeast,
where there is a predominance of industrial and agricultural activities; Pb and Zn also occur in high concentrations in the
northeast, but the maps also show significant concentrations of Pb and Zn in other areas, mainly in the central and southeastern
parts, where there are urban leisure activities and trade centers. Maps were also prepared showing levels of pollution risk.
These maps show that (1) Cu presents a large pollution risk in the north–northwest, midwest, and southeast sectors, (2) Pb
represents a moderate risk in most areas, (3) Zn generally exhibits low risk, and (4) Ni represents either low risk or no
risk in the studied area. This study shows that combining geostatistics with fuzzy theory can provide results that offer insight
into risk assessment for environmental pollution. |
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