摘要
利用库尔勒市2006—2013年的PM10监测数据以及同期常规气象资料,使用非参数分析(spearman秩相关系数)方法分析了常规气象要素与PM10浓度的相关关系。结果表明PM10浓度与各气象要素关系密切:气压较高时,PM10浓度易超过《环境空气质量标准》(GB 3095-2012)二级标准;当气温≥20℃时,温度越高PM10浓度超标天数越少,当气温<20℃时,较高的气温则不利于PM10的稀释扩散;温度露点差越小,PM10的超标率越大;PM10浓度随风速的增大先降低后增加;降水对PM10有清除作用。
Based on the datas of PM10 and surface meteorological elements between 2006 and 2013 in Korla, the correlation between PM10 and meteorological conditions was analyzed using non - parametric analysis such as the Spearman correlation ma- trix. The results showed that the PM10 concentration was closely related to the meteorological factors. Higher air pressure resul- ted in an increasing of the PMlo concentration which put it in danger of exceeding the secondary standard ( National Ambient Air Quality Standards). An increasing in temperature past 20℃ resulted in less days with PM10 concentration exceeding the standard. However, when the air temperature was below 20℃ this effect was no longer observed. Lower difference between air temperature and dew point increased the probability for the PM10 concentration to exceed the aforementioned standard. As wind speed keeps increasing, PM10 concentration decreased in the initial stage but increased thereafter. Lastly, precipitation has a roll in eliminating the pollution of PM10. The cause of the correlation between PM10 concentrate and meteorological factors was analyzed based on the local conditions.
出处
《干旱环境监测》
2015年第2期76-81,共6页
Arid Environmental Monitoring
关键词
非参数分析
PM10
气象要素
相关性分析
non- parametric analysis
PM10
meteorological factor
correlation analysis