摘要
利用乌苏市2016~2018年PM2.5质量浓度和气象资料,运用常规统计、Pearson相关分析、T检验分析方法对乌苏市PM2.5浓度分布特征及与气象要素相关性进行分析:结果表明乌苏市PM2.5质量浓度日变化曲线呈单峰型特征,PM2.5质量浓度的高值区出现在13:00~23:00,峰值出现在15:00;1月空气污染最严重;PM2.5质量浓度表现出一定的季节性特征,冬季 】秋季 】春季 】夏季,冬季污染日数占全年的75%,冬季空气污染达到中度污染水平;乌苏市PM2.5质量浓度与温度、降水、平均风速、最大风速、日照呈负相关关系;与相对湿度、气压呈正相关关系。
Based on the PM2.5 mass concentration and meteorological data of Wusu city from 2016 to 2018, the distribution characteristics of PM2.5 concentration and its correlation with meteorological elements were analyzed by using conventional statistics, Pearson correlation analysis and t-test analysis. The results showed that the daily variation curve of PM2.5 mass concentration in Wusu city was unimodal, and the high value area of PM2.5 mass concentration appeared at 13:00 - 23:00, and the peak appeared at 15:00. The air pollution was the most serious in January;PM2.5 concentration showed a certain seasonal characteristics;winter >autumn >spring >summer;winter pollution days accounted for 75% of the whole year;winter air pollution reached moderate pollution level;PM2.5 mass concentration in Wusu city was negatively correlated with temperature, precipitation, average wind speed, maximum wind speed and sunshine, and positively correlated with relative humidity and air pressure.
出处
《气候变化研究快报》
2020年第6期635-641,共7页
Climate Change Research Letters