青岛市空气质量指标与气象指标的相关性分析  

Correlation Analysis between Air Quality and Meteorological Indicators in Qingdao

作　　者：王蕾 类淑河[1] 马莎莎 

机构地区：[1]中国海洋大学数学科学学院,山东青岛

出　　处：《气候变化研究快报》2018年第6期454-462,共9页Climate Change Research Letters

基　　金：国家自然科学基金(U1706226).

摘　　要：为研究青岛市空气质量与气象指标之间的相关关系,收集了青岛市2014年1月至2017年12月的空气质量与气象指标数据。分别对全段、四季以及供暖季数据进行了典型相关分析得到,空气质量与气象指标间存在相关性,秋冬季尤为显著,且不同季节受到气象指标影响的空气质量指标不同。利用凝聚谱分析和EMD方法观察各频段数据的相关性可知,春夏季相对湿度对PM2.5的影响较大,且在42天左右的周期分量上,相对湿度的增大有利于降低PM2.5的浓度。全段数据以及秋冬季为O3与气温密切相关,且随着分量周期的变长,气温升高对的促进作用增强。In order to study the correlation between air quality and meteorological factors in Qingdao, the data of air quality and meteorological factors in Qingdao from January 2014 to December 2017 were collected. Canonical correlation analysis was conducted on the whole, four seasons and heating season data respectively. It shows that there is a correlation between air quality and meteorological factors, especially in autumn and winter. Air quality indicators affected by meteorological factors are different in different seasons. MSC and EMD method were used to observe the correlation of the band data. The relative humidity in spring and summer has great influence on PM2.5. On the 42 day periodic components, the increase of the relative humidity can reduce the concentration of PM2.5. In autumn and winter, O3 are closely related to air temperature. As the component cycle becomes longer, the effect of temperature rise will be enhanced.

关 键 词：空气质量 气象指标 典型相关 凝聚谱 经验模态分解 

分 类 号：F2[经济管理—国民经济]