摘要
为了解2014年成都市PM2.5污染状况及其与近地面气象要素的关系,分析了PM2.5的月平均浓度演变及不同空气质量等级的天数变化,采用SPSS软件对降雨、平均相对湿度、气温、风向和平均气压与PM2.5质量浓度进行Kendall秩次相关分析。结果表明:2014年成都市1—12月PM2.5质量浓度呈'U'形分布,污染最严重在1月,污染程度最小是8月,全年有大半以上天数,空气质量等级为'良~优'。PM2.5质量浓度与各月降雨量,月平均气温存在较高的负相关性;PM2.5质量浓度与风向、平均相对湿度为较低显著性负相关。PM2.5质量浓度与平均气压之间正相关。
To understand the PM2. 5 pollution condition of Chengdu in 2014 and its correlation with the surface meteorological elements,the evolution of different monthly average concentration of PM2. 5 and the number of days with different air quality level were analyzed. The analysis of Kendall rank correlation,the average PM2. 5mass concentration with rainfall,the average relative humidity,air temperature,wind direction and the average pressure,was accomplished by SPSS software. The results showed that: PM2. 5mass concentration was in 'U'shaped distribution in Chengdu from January to December in 2014; the most serious pollution was in January,the lowest degree of contamination was in August; The air quality rating of 'good to excellent'was account for more than half of the number of days throughout the year; There was a high negative correlation between the PM2. 5mass concentration and rainfall in each month,as well as the monthly average temperature; A less significant negative correlation existed in the PM2. 5mass concentration and wind direction and average relative humidity; There was a positive correlation between the concentration of PM2. 5and mean air pressure.
出处
《环境工程》
CAS
CSCD
北大核心
2015年第S1期472-475,共5页
Environmental Engineering
关键词
成都
PM2.5
污染特征
气象要素
相关关系
Chengdu
PM2.5
characteristics of pollution
meteorological element
relationship
