摘要
利用Spearman秩相关系数法分析2002-2012年北京市四类大气污染物年日均浓度的变化;并用广义灰色关联度法分析大气污染物浓度与气象因子的关系。结果表明:①近10年来四类主要大气污染物的年目均浓度总体呈下降趋势,NO2、可吸入颗粒物和CO的年目均浓度出现阶段性的稳定态势,而SO2午日均浓度一直在下降;②影响SO2年日均浓度、NO2年日均浓度和可吸入颗粒物年日均浓度的最主要气象因子都是平均相对湿度;影响CO年日均浓度最主要气象因子是全年日照数;③平均相对湿度是影响空气质量的最优因子,可吸入颗粒物浓度是表征空气质量的最优特征。
Using the spearman rank correlation coefficient analysis of the past 10 years, Beijing' air pol- lutants, discussing the relationship of air pollutant' concentrations and meteorological factors by broad gray correlation theory. The results showed that four major air pollutants were significantly decreased nearly 10 years . NO2, particulate matter and CO in a phased stable trend, while SO2 has been declining.The most important meteorological factors which impacted on SO2, NO2 and average concentrations of re- spirable particulate matter are average relative humidity. The main meteorological factor of CO is the annu-al of sunshine. The average relative humidity is optimal factor af{eeting air quality, the respirable particu- late matter is the optimal characteristics of air quality.
出处
《科学技术与工程》
北大核心
2014年第1期119-123,138,共6页
Science Technology and Engineering
基金
国家林业公益性行业科研专项(20130430104)资助
关键词
大气污染物
气象因子
Spearman秩相关系数
灰色综合关联
air pollutants overall connection degree meteorological factors spearman rank correlation coefficient grey