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。
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 se- lects 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 environ- mental 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 pollu- tion and severe pollution. And the class centre, subjection degree and classification results were ob- tained. 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.
出处
《河北工程大学学报（自然科学版）》
CAS
2014年第2期72-74,共3页
Journal of Hebei University of Engineering:Natural Science Edition
基金
国家自然科学基金资助项目(项目编号:41373101)
关键词
环境质量评价
未确知聚类
类中心
隶属度
environmental quality evaluation
unascertained cluster
class center
subjection degree
