摘要
利用灰色聚类分析方法对西安市空气质量进行评价.以国家环境空气质量标准(GB3015—2012)为依据,以城市空气的6个主要污染物为评价指标,对2013年1~6月西安市共14个监测点的空气质量监测截面数据建立了灰色聚类评价模型.通过建立灰类的三角形白化权函数计算实测值的灰类隶属度,采用临界值倒数法得到不同污染因子的危害度,最后对样本数据进行灰色综合聚类评价.数值结果表明了该方法的合理性和有效性.
The evaluation of air quality in Xi′an is researched by using gray clustering analysis method . Based on National Ambient Air Quality Standards (GB3015-2012) ,taking six kinds of main pollutant as assessment index ,a gray clustering evaluation model is built by using the air quality monitoring cross section data in Xi′an from January to June in 2013 .The triangular whitenization weight functions are constructed to calculate gray membership of measured values ,and the criticality of different contamina-tive factors is obtained by use of threshold inverse method .At last ,the gray clustering comprehensive e-valuation is made and the rationality is demonstrated by numerical result .
出处
《纺织高校基础科学学报》
CAS
2014年第3期404-408,共5页
Basic Sciences Journal of Textile Universities
基金
西安市科技计划创新基金文理专项(CX12189WL22)
关键词
灰色聚类
白化权函数
空气质量
评价模型
grey clustering
whitenization weight function
air quality
evaluation
