未确知聚类在蔬菜产地环境质量评价中的应用
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国家自然科学基金资助项目(项目编号:41373101)


Application of unascertained cluster on environmental quality evaluation for vegetable bases
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    摘要:

    文中针对蔬菜生产产地污染程度评价具有不确定性,将未确知聚类算法应用到蔬菜产地环境质量评价中。以江苏省南京市六合区六个乡的土壤环境质量为研究对象,采用我国《土壤环境质量标准》作为评价标准,选取土壤中最常见的六种污染物Cd、Hg、As、Cu、Pb、Cr为参评因子,对各采样点土壤重金属污染程度进行综合评价,并求得各类类中心及相应的隶属度。分析实验结果可以发现,与实际情况相符,表明该方法应用到蔬菜产地环境质量评价中是可行的。

    Abstract:

    For the environmental quality evaluation of vegetable bases standards uncertainty,the paper applied the unascertained cluster method to the environmental quality evaluation. In the paper it selects soil environmental quality of six township of Liuhe district,Nanjing city,Jiangsu province as the research objects. Taking "China's soil environmental quality standard"as evaluation criteria,and selecting six common pollutants as evaluation factor,such as Cd,Hg,As,Cu,Pb,Cr. The environmental qualities comprehensively based on the measured data of Jiangsu province in the experiment were assessed. At last,six samples of soil environmental quality were divided into clean,light pollution and severe pollution. And the class centre,subjection degree and classification results were obtained. Experimental results show that the classification result is consistent with actual situation and the method applied to the vegetable origin in environmental quality assessment is feasible.

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葛莹莹,刘伟.未确知聚类在蔬菜产地环境质量评价中的应用[J].河北工程大学自然版,2014,31(2):72-74

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  • 收稿日期:2014-03-07
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  • 在线发布日期: 2015-01-12
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