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基于标准差因子赋权法的农田土壤重金属潜在生态风险评价
引用本文:高滢,王菲凤,张江山.基于标准差因子赋权法的农田土壤重金属潜在生态风险评价[J].福建师范大学学报(自然科学版),2012,28(5):83-88.
作者姓名:高滢  王菲凤  张江山
作者单位:福建师范大学环境科学与工程学院,福建福州,350108
基金项目:福建省自然科学基金资助项目,福建省教育厅资助项目
摘    要:利用标准差因子赋权法改进传统的潜在生态风险评价模型,并对福州市工业园区周边农田土壤中8个代表性采样点中Zn、Pb、Cr、Ni、Cu5种重金属污染的潜在生态风险评价进行实证研究.结果表明,传统法和改进后的模型对该地区土壤重金属综合危害程度的评价均为中等水平,但应用改进法计算的潜在生态危害指数值较传统法均有不同程度的增加,其中5个点位危害程度的等级提高1个级别.因此,标准差因子赋权法改进的潜在生态风险模型对土壤重金属污染的评价精度更高,结果更客观.

关 键 词:潜在生态风险评价  标准差因子赋权  农田土壤  重金属

Assessment on the Potential Ecological Risk of Heavy Metal Pollution in Farmland Soil Based on Standard Deviation Factor Weighting Method
GAO Ying , WANG Fei-feng , ZHANG Jiang-shan.Assessment on the Potential Ecological Risk of Heavy Metal Pollution in Farmland Soil Based on Standard Deviation Factor Weighting Method[J].Journal of Fujian Teachers University(Natural Science),2012,28(5):83-88.
Authors:GAO Ying  WANG Fei-feng  ZHANG Jiang-shan
Institution:(College of Environmental Science and Engineering,Fujian Normal University,Fuzhou 350108,China)
Abstract:Sandard deviation factor weighting method was put forward for improving the traditional potential ecological risk assessment model,which was then applied to assess the potential ecological risk extent of the five heavy metals,including Pb,Zn,Cr,Ni and Cu in eight representative farmland soils nearby the industrial zone of Fuzhou City.The results revealed that,with the two models of traditional and improved methods,the heavy metal comprehensive ecological risk assessment conclusions were the same,which were consistently in medium level in this studied area.However,compared with the traditional model,the calculation of numerical value of potential ecological risk harm index with the improved method was increased,and the five soil samples of ecological risk degree level were improved a grade respectively.Therefore,the traditional potential ecological risk model improved by standard deviation factor weighting for the soil heavy metal pollution assessment can achieve more precise and objective.
Keywords:potential ecological risk assessment  standard deviation factor weighting  farmland soil  heavy metals
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