A Fuzzy Cluster Algorithm of Heavy Metal City Topsoil Pollution

Jun Jun Du; Sheng Ping Jin; Qiong Li; She Sheng Zhang

doi:10.4028/www.scientific.net/AMR.830.341

Paper Titles

Experimental Study on Ammonia-Nitrogen Removal in Water by Composite Zeolite Filter
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Environmental Study with the Remote Monitoring Application in Rural Water Source Based on LabVIEW
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The Study on the Dissolution Process of Oxygen and Nitrogen in Gas-Soluble Water
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Introduction of a New HTHP Permeability Plugging Apparatus for Drilling Fluid Based on Properties of Materials
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A Fuzzy Cluster Algorithm of Heavy Metal City Topsoil Pollution
p.341

Cloud Point Extraction and Spectrophotometry Determination of Lead in Environment Water Using 5-Br-PADAP
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Environmental Effects of Soil Salt in the Arid Area under the Human Beings' Interference
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Response of Carbon Sink Dynamic Behaviors to River Flood in Karst Area – A Case Study in the Li River of Guilin
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Spectrophotometric Determination of Al(III) in Environment Water with p-Carboxyarsenazo
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 830A Fuzzy Cluster Algorithm of Heavy Metal City...

A Fuzzy Cluster Algorithm of Heavy Metal City Topsoil Pollution

Abstract:

Consider heavy metal pollution of topsoil in the city of world today is a hot science research project. A fuzzy clustering algorithm l is constructed ed by analyzing the propagation characteristics of heavy metal pollutants. Considering topography, areas, factories, roads, , irredentist, etc. we calculate a evaluation on comprehensive pollution, and the degree of heavy metals pollution, by using fuzzy clustering and fuzzy AHP. The results show that the index of the comprehensive pollution of heavy metals on the region, and the weight of pollution of each category.

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Periodical:

Advanced Materials Research (Volume 830)

Pages:

341-344

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.830.341

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Online since:

October 2013

Authors:

Jun Jun Du, Sheng Ping Jin, Qiong Li, She Sheng Zhang

Keywords:

Correlation Coefficien, Fuzzy Clustering, Heavy Metal, Pollution

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References

[1] Karen Chen. Analysis of the urban ecosystem characteristics [J]. Land and Natural Resources Research, 2004 (4): 56-57.

Google Scholar

[2] WONG CSC, LI XD, et al. Urban environmental geochemistry of trace metals[J]. Environ, Pol1ut2006, 142(1): 1一16.

Google Scholar

[3] Wang Xuesong, Qin Yong, environmental risk measurement and analysis of heavy metals in Xuzhou urban topsoil [J], geochemical, 2006 (1), 88-94.

Google Scholar

[4] Deng Qiujing, etc., Distribution and Evaluation of Heavy Metals in Cultivated Soil of Guiyang 2006, 38 (1) : 53-60.

Google Scholar

[5] Xu Qing, Zhang Lixin, Liu Suhong, Zhang Linjin, Heavy metal pollution of topsoil and its evaluation of potential ecological risk：a case study of different functional areas in Baotou City JOURNAL OF NAtuRAL DISASTERS 2008(6), 6-12.

Google Scholar

[6] Nymphodora Papassiopi，Athina Kontoyianni，Katerina Vaxevanidou．Assessment of chromium biostabilization in contaminated soils using extraction standard leaching and sequential techniques[J]．Science of Total Environment，2009. 407(2)：925-936.

DOI: 10.1016/j.scitotenv.2008.09.020

Google Scholar