SPATIAL PREDICTION OF SOIL HEAVY METAL POLLUTION BASED ON FUZZY SET THEORY
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    Abstract:

    Based on the lab data of concentrat ions of total Cu, Zn, Cr, Cd, Hg, and As obtained through determination of 54 topsoil samples, continuous classification of heavy metal concentrations of the sampled soils was conducted with fuzzy c-mean algorithm (FCM).And, membership values of the sampled soils in each class were interpolated using ordinary kriging to predict spat ial distribution of soil heavy metal concentrations and pattern of soil heavy metal pollut ion of the investigated area.The obtained results show that the concentrations of Cu, Zn, Cr, As and Cd in soils in the area were below the national criteria for soil environment and even their background values, and that no accident of soil heavy metal pollution had ever occur.The concentrations of Cu, Zn, Cr and As, however, in the soils of the west and south parts of the investigated area were higher than that in the rest, and in a fewer plots enrichment of Zn and Cr was found, perhaps demonstrating influences of industrial activities and traffic on the soil environment.It was revealed that Hg was the dominant heavy metal pollutant, and soil Hg pollution occurred mainly in vegetable production bases and land on either side of Chuhe River, especially the vegetable production bases in the central part of the investigated area.Compared to the interpolation method, spatial predict ion based on the fuzzy set theory could achieve a continuous output with significantly higher accuracy.

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Tan Manzhi, Chen Jie, Xu Fangming, Zheng Hailong, Zhang Xuelei. SPATIAL PREDICTION OF SOIL HEAVY METAL POLLUTION BASED ON FUZZY SET THEORY[J]. Acta Pedologica Sinica,2006,43(3):389-396.

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History
  • Received:October 17,2005
  • Revised:January 06,2006
  • Adopted:
  • Online: February 25,2013
  • Published: