摘要
分析了2013年1—3月西安市12个空气监测子站监测的PM10、PM2.5以及相关气象参数;绘制了不同月的主城区浓度分布等值线图。运用单样本K-S非参数检验法检验表明,PM2.5浓度符合对数正态分布;各站点间的PM2.5浓度相关性非常高,变化趋势一致;PM10和PM2.5的变化规律呈现"W"型三峰分布;PM2.5日均值与能见度、净辐射量、平均气温、最高气温、最低气温均呈现显著负相关,且相关性较强;与平均湿度、最大湿度、最小湿度呈现显著正相关;与总辐射量、日照时数、气压、露点温度的相关性较弱;节日烟花燃放、沙尘天气容易造成严重大气污染,其中节日烟花燃放、沙尘天气对PM10的贡献量大于对PM2.5的贡献。
PM10 ,PM2.5 and related meteorological parameters were monitored from 12 air monitoring stations of Xi＇an during January to March of 2013. Base on which,the intuitive contour lines of PM2.5 concentrations in different months were drawed to describe the PM2. 5 distribution in main urban area of Xi＇an. One-sample K-S non-parametric test showed that the PM2.5 concentration obeyed the lognormal distribution;the PM2.5 concentration of different sam- piing point presented the same change trend and their correlation was very high. The daily variation of PM2.5 and PM10 showed a ＂W＂ shaped triple peak distribution. The daily average PM2.5 concentration was obviously negative correlated with visibility, net radiation, average temperature, maximum temperature, minimum temperature, while it was significantly positive correlated with average relative humidity,maximum humidity and minimum humidity. The correlation between daily average PM2. 5 concentration and total radiation, sunshine duration, pressure, dew point tem- perature was relative weak. The instantaneous fireworks during holiday and dust weather would cause serious air pol- lution,and their contribution to PM10 was greater than to PM2. 5.
出处
《环境污染与防治》
CAS
CSCD
北大核心
2014年第2期52-56,共5页
Environmental Pollution & Control
