Assessment of Potential Ecological Hazard of Heavy Metals in Farmland Based on GIS

Xue Cheng Zheng; Chao Li; Dong Wei Li

doi:10.4028/www.scientific.net/AMR.414.83

Paper Titles

Detoxification of Chromium-Containing Slag by Chromium-Resistant Bacteria
p.56

Turn Brownfield into Green Space-Eco-Regeneration of Closed Landfill
p.63

The Remediation Standards and Evaluation Methods for Remediation Effectiveness of Contaminated Soil
p.68

Enhanced Electrokinetic Removal Heavy Metals in Pyrometallurgical Zinc Slags
p.76

Assessment of Potential Ecological Hazard of Heavy Metals in Farmland Based on GIS
p.83

The Remedial Effect of the Decomposing Bacteria on Different Petroleum Hydrocarbon Contamination
p.88

The Study of Remediation Standards of Heavy Metal-Cu Contaminated Soil Based on Risk Assessment
p.93

Effects of Straw Ash and Sewage Sludge on the Quality of Pakchoi in Cadmium Contaminated Soil
p.99

Influence of Cations in Anolytes on the Power Efficiency in the Electrokinetic Remediation of Chromium(VI)-Contaminated Soils
p.106

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Assessment of Potential Ecological Hazard of Heavy Metals in Farmland Based on GIS

Abstract:

This paper includes the analysis of total content of Cd element of 102 samples in the surface soil of farmland around the slag field. We evaluated the contamination of Cd of each samples and the space distribution with the potential ecological risk index method based on ArcGIS soft. The results showed that: average of potential ecological risk index of Cd is 241.4, Moderate ecological risk area accounted for 2.7% of the study area, strong ecological risk area of the region accounted for 30.1% of the study area, 22.2% of the study area had the considerable ecological risk, and the rest 39% of the study area had the extremely strong ecological risk.

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Periodical:

Advanced Materials Research (Volume 414)

Pages:

83-87

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.414.83

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Online since:

December 2011

Authors:

Xue Cheng Zheng, Chao Li, Dong Wei Li

Keywords:

Ecological Risk, Farmland, GIS, Index Evaluation

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