灰色系统理论在烟台市区大气环境质量分析和预测中的应用

Application of Grey System Theory in Analysis and Prediction of Atmospheric Environmental Quality in Yantai

利用灰色系统理论对烟台市区大气环境污染因子(SO2、NOx、TSP)数据序列和大气质量综合指数数据序列进行灰色关联度分析,并预测了未来5年内烟台市区大气环境质量状况。结果表明:影响市区大气环境质量的主要污染因子是TSP,其次是SO2;未来5年内烟台市区大气环境质量将逐年提高,且均保持在清洁水平。

The Grey Correlation Analysis of atmospheric environment pollution factors （SO2, NOx and TSP） in air quality index in Yantai was conducted with the Grey System Theory and the atmospheric environmental quality in future five years in Yantai downtown was predicted. The results showed that the first factor influencing urban atmospheric environment quality was TSP and SO2 was the second one. The urban atmospheric environment in Yantai was being improved year by year.