摘要
本文以包头市市区2007年和2008年的空气环境质量逐时监测数据和相应的地面逐时气象数据为基础,结合MM5中尺度气象模型拟合的高空气象数据,采用Pearson相关分析法,对空气环境中主要污染物二氧化硫、可吸入颗粒物的浓度与风速、近地面气温、降水、气压、相对湿度等气象因素的相关性进行了分析,探讨了逆温、静风等主要气象条件对空气环境中污染物浓度变化的影响,为改善城市空气环境质量提供技术支撑。
This paper based on the ground meteorological observation data, automatic monitoring data and high altitude meteorological data by MM5 mesoscale meteorologicmodel from 2007 to 2008 of Baotou. And using the Pearson correlation, analyzed the correlation of wind speed, surface temperature, precipitation, pressure, relative humidity on the concentration of main pollutants. It discussed the relationship between meteorological factors and pollutants. Thereby, the result could provide technical support for improving the urban air environmental quality
出处
《环境与发展》
2011年第1期158-160,171,共4页
Environment & Development
关键词
空气污染
气象因素
相关性
air pollution meteorological factors correlation
