基于加权灰色统计的平顶山市空气质量分析

依据平顶山市2000—2009年环境状况公报数据,选取空气污染物SO2,NO2,PM10作为评价因子,将灰色统计方法和模糊综合评价模型相结合,建立加权灰色统计模型,对河南省平顶山市空气质量进行综合评价.结果显示:平顶山市2000—2002年空气质量综合评价Ⅳ级,为重污染;2003—2007年空气质量综合评价Ⅲ级,为轻污染;2008—2009年空气质量综合评价Ⅱ级,为尚清洁.2000—2009年(2007年除外)主要污染因子为PM10,2007年的主要污染因子为SO2.但近几年PM10对空气质量的影响呈现逐年下降趋势,NO2对空气质量的影响呈现逐年上升趋势.

The Air Quality Analysis Based on Weighting Gray Statistics in Pingdingshan City

According to the statistics of the Pingdingshan Environment from 2000 to 2009,it gives an evaluation of the air quality in Pingdingshan City,Henan Province,by applying weighted gray statistical model,which combined gray statistical methods and fuzzy comprehensive evaluation model and selecting SO2,NO2,PM10 as evaluation factors.The results shows：in Pingdingshan from 2000 to 2002,comprehensive evaluation of air quality is Ⅳ,air quality is for the heavy pollution;from 2003 to 2007,comprehensive evaluation of air quality is Ⅲ,air quality is for the light pollution;from 2008 to 2009,comprehensive evaluation of air quality is Ⅱ,air quality is for the relatively clean.From 2008 to 2009（except 2007）,major pollution factor is PM10,2007 the main pollution factor is SO2.But the impact on air quality of PM10 showing a declining trend,the impact on air quality of NO2 showing an increasing trend,need to cause high degree of importance.